Understanding asset-description.json

A field-by-field guide to AISA VOD analysis files, timestamps, subject positions, credits and advisory results, with an example output.

asset-description.json is the VOD analysis file written to a configured customer output. This guide explains how to interpret its values and includes an example from Meridian.

Validate newly written original and translated files against the asset-description.json schema. It describes the current raw-file contract, including default values and explicit nulls; older files can omit fields added later.

REST responses follow the response schemas documented in Get AI Scene Analysis details and Get AI Scene Analysis details in a specific language. They can differ from the file in field availability and treatment of empty values. This guide describes the file.

Explore the example interactively

Open the AISA demo in the Bitmovin Dashboard to explore the sample video and its scene-level metadata. Bitmovin login required.

Reading a result

Analysis text, identities, classifications and ratings are AI-generated interpretations. Check them before using them for editorial, compliance or rights decisions. Credits are selected rather than exhaustive, and an available shot list does not guarantee complete scene coverage.

Field availability depends on the enabled features and analysis software version. An empty list, empty string, null or UNKNOWN can reflect unavailable information; it does not by itself establish that the video was assessed and nothing was found. Current files include default values and explicit nulls. Older files can omit fields introduced later.

JSON object key order has no meaning. Preserve the precision of numeric timestamps instead of rounding them to whole seconds.

Asset fields

These fields belong to the top-level object.

  • scenes — Scene results on the original video's timeline. See Scene fields.
  • duration — Analyzed video duration in seconds, derived from the detected shot timeline.
  • title — Inferred work title or a descriptive title for the asset. It is not a verified catalogue identifier. null when unavailable.
  • description — AI-generated summary of the asset as a whole. Empty when no asset summary was produced.
  • keywords — Descriptive terms for the asset. Empty when none were produced; spelling and case are not fixed vocabularies.
  • ratings — A flat array of estimated content ratings. See Ratings.
  • sensitiveTopics — Free-text topics inferred for the asset. These can differ from the combined scene topics. Empty can also mean no asset summary was available.
  • iabSensitiveTopicTaxonomies — Distinct scene-level sensitive-topic taxonomy IDs collected during successful asset summarization. An empty result can also mean the aggregate was unavailable; do not assume this is always a complete union of the scene results.
  • inputLanguageCodes — Codes of languages identified in spoken dialogue or narration. Identification excludes theme-song vocals, lyrics, music and written text. Empty when no languages were identified or the input has no audio. These describe the source, independently of requested output languages.
  • credits — Selected credits extracted from readable on-screen text. See Credits.
  • metadata — Provenance of the analysis. See Metadata.

Ratings

Each item in ratings describes one estimate for a region and rating system. Values retain their originals in translated files. These are AI estimates, not classifications officially assigned to a title.

  • region — Region label, such as US, UK or EU. Do not assume every value is an ISO country code.
  • system — Name of the rating system.
  • rating — Classification in that system, such as PG-13 or TV-14. This is free text and may be empty when no classification was provided.

Metadata

Metadata values retain their originals in translated files.

  • version — Version of the analysis software that generated the result. It is distinct from the Encoder or API SDK version.
  • disclaimer — Attribution identifying the result as AI-generated content.

Scene fields

Each object in scenes describes one inferred scene.

  • id — Opaque identifier within this result. It is not a stable scene identity across separate analyses.
  • title — Short AI-generated title for the scene.
  • startInSeconds — Scene start, in seconds from the beginning of the video. A negative unset value is not a media position.
  • endInSeconds — Scene end, on the same video timeline.
  • summary — Concise summary of the scene.
  • verboseSummary — Detailed description of the scene.
  • content — Structured interpretation of the scene. See Scene content.
  • sensitiveTopics — Free-text sensitive topics inferred for this scene. Empty can mean no topics or no produced findings.
  • keywords — Descriptive terms for the scene. Empty when none were produced; case is not constrained.
  • iab — Taxonomy classifications. See IAB taxonomies.
  • type — Inferred structural role of the scene. See Scene types.
  • shots — Available shot results, ordered by shot start. Optional analysis can produce an empty list, and the list need not cover the scene's full interval. See Shot fields.
  • adOpportunityInformation — Suitability of the scene's end for an ad break. See Ad-break suitability.

Scene types

The type enum uses these values:

  • LOGO_IDENT — Studio, distributor, broadcaster or platform branding.
  • OPENING_CREDITS — Opening credits or opening title sequence.
  • RECAP — Recap of earlier events or episodes.
  • PREVIEW_THIS_TITLE — Preview of upcoming content from the same title.
  • PROMOTION_OTHER_TITLE — Promotion or trailer for another title.
  • BREAK_BUMPER — Short transition or branded sting around a program break.
  • END_CREDITS — Closing credits or closing cast, crew or legal-credit block.
  • ADS — Commercial advertising content.
  • MAIN_CONTENT — Main program content.
  • UNKNOWN — No structural type was assigned.

Scene content

The content object describes inferred scene content. Empty collections can be defaults when no enrichment was produced, rather than proof that no such content exists.

  • characters — Distinct people or characters described in the scene. A name appearing only in credit text does not establish an on-screen character. See Characters.
  • objects — Notable scene-level objects. See Objects.
  • settings — Inferred settings. See Settings.
  • dynamics — Assessment of narrative dynamics. See Narrative dynamics.

Characters

Each item in content.characters describes a person or character in one scene. A name mentioned in a summary does not guarantee that identity resolution assigned it to a character here.

  • name — Assigned character name when resolved from dialogue or cast context. It can be null, empty or a textual unknown value when unresolved.
  • playedBy — Credited actor for the resolved role, when uniquely matched. null or empty when unresolved, including ambiguous matches. Retains its original value in translated files.
  • description — Brief description of what the character does in the scene. null when unavailable.
  • characterAppearance — Inferred visible appearance, described below.

Character appearance

The string fields in characterAppearance use free text, even where a result resembles a fixed vocabulary. Spelling, case and unknown-value wording can vary. Empty strings are unset defaults; textual unknown values remain text rather than JSON absence.

  • summary — Short description of the subject's apparent role and distinctive appearance.
  • gender — Apparent gender as text, such as male, female or unknown.
  • approximateAge — Estimated age band. See Age bands.
  • hairColor — Hair-color description; base results commonly use uppercase labels.
  • hairStyle — Hairstyle description.
  • hairFullness — Hair fullness, such as full, thinning or bald.
  • facialHair — Facial-hair description, such as clean-shaven, stubble or beard.
  • physicalBuild — Description of the subject's build.
  • distinguishingFeatures — Notable visible features, such as glasses or a scar. Can be empty or state that none were described.
  • clothing — Description of clothing worn in the scene.

Age bands

Age bands are appearance estimates rather than verified ages.

  • CHILD — Younger than the teenage band.
  • TEEN — Teenager.
  • TWENTIES — Appears to be in their twenties.
  • THIRTIES — Appears to be in their thirties.
  • FORTIES — Appears to be in their forties.
  • FIFTIES — Appears to be in their fifties.
  • SIXTIES_PLUS — Appears to be sixty or older.
  • UNKNOWN — Age was not determined or is not applicable.

Objects

Each item in content.objects is a scene-level object description, without a shot-level position.

  • description — Brief AI-generated description. null when unavailable.
  • category — Free-text object type. null when unavailable. This does not use a closed classification enum; wording, case and translated values can vary.

Settings

Each item in content.settings describes an inferred place and its conditions.

  • location — Place where the scene occurs. See Location.
  • timeOfDay — Free-text time of day, such as morning or night. Unknown values are text, with varying case.
  • atmosphere — Inferred ambient conditions. See Atmosphere.

Location

The location object describes a place rather than a geocoded location. Text can be empty when no description was supplied.

  • name — Short name of the place.
  • description — Brief description of the place.

Atmosphere

The atmosphere object uses translated free-text descriptions. Empty strings are unset defaults, and textual unknown values can have varying case.

  • mood — Emotional atmosphere of the setting.
  • lighting — Visible lighting conditions.
  • weather — Weather or indoor conditions when described.

Narrative dynamics

The values in content.dynamics are qualitative enums, retained across translations. They are not numeric thresholds or confidence scores.

  • tension — Dramatic intensity: EXTREME (very intense), HIGH, MODERATE, LOW or UNKNOWN (no assessment available).
  • pacing — Perceived pace of action and narrative: SLOW, MEASURED (steady and deliberate), BRISK (fast), FRANTIC (very rapid) or UNKNOWN (unavailable).

IAB taxonomies

The iab object uses taxonomy identifiers rather than display names. IDs and version strings retain their originals in translated files. Empty arrays can mean no matches or unavailable classification.

  • contentVersion — IAB Content Taxonomy version used for contentTaxonomies and sensitiveTopicTaxonomies.
  • adProductVersion — IAB Ad Product Taxonomy version used for adOpportunityTaxonomies.
  • contentTaxonomies — Content-topic IDs describing what the scene is about.
  • adOpportunityTaxonomies — Advertising-product IDs relevant to the scene's content. These suggest suitable ad topics; they do not identify ad-break times or actual placements.
  • sensitiveTopicTaxonomies — Sensitive-topic IDs from the content taxonomy.

Resolve identifiers using the version carried by that result. Free-text sensitive topics and taxonomy IDs are different representations and need not have a one-to-one correspondence.

Ad-break suitability

The adOpportunityInformation object concerns an ad break at the scene's end. It does not confirm that an ad was placed. Defaults can remain when this analysis did not run, so object presence alone is not proof of an assessment.

  • score — Suitability on a 0–1 scale, with higher scores indicating a more suitable break. The default 0.5 is an unset midpoint, not a measured probability.
  • reason — Explanation of the score. Empty before an assessment produces an explanation. A low or zero score can also have an explanation.

Actual selected placements belong to the separate ad-placement result. See Automatic Ad Placement.

Shot fields

Scenes normally group complete shots. Each included shot appears under one scene and retains its original video timestamps. A shot can cross a scene boundary. In incomplete results, it can also lie outside its associated scene. Use the shot's own timestamps to locate its content.

  • startInSeconds — Shot start, in seconds from the beginning of the video.
  • endInSeconds — Shot end, in seconds from the beginning of the video.
  • detailedDescription — AI-generated visual description. null without a shot-detail result.
  • keywords — Descriptive terms. null without a shot-detail result; empty when a result contained no terms.
  • mainSubjects — Prominent physical subjects. null without a shot-detail result; empty when none were retained. See Subject positions.
  • shotAdvisories — Advisory assessment. null when none was produced. A shot can carry advisories without shot-detail enrichment. See Advisories.

Subject positions

Each object in mainSubjects describes a sampled appearance. Positions do not represent continuous tracking across the shot.

  • classification — Free-text object category from the visual analysis vocabulary, such as Person or Vehicle. It is not a wire enum. Retains its original value in translated files.
  • description — Description of the subject's appearance.
  • appearanceTimeInSeconds — Sample time in seconds from the start of this shot, rather than from the beginning of the video. Analysis requests the first clearly visible appearance.
  • centerX — Horizontal center as a percentage of the full frame width, measured from the left edge: 0–100.
  • centerY — Vertical center as a percentage of the full frame height, measured from the top edge: 0–100.
  • box2d — Bounding box in the order [ymin, xmin, ymax, xmax], using integer coordinates on a 0–1000 scale with a top-left origin. Each axis is normalized independently against the full frame. Older files can omit it; an empty array represents no available box. Existing center coordinates remain usable when no box is present.

Converting time and coordinates

To locate an appearance on the video timeline, add the shot start to its appearance time. For example, a shot starting at 100 seconds with appearanceTimeInSeconds: 1.5 samples the video at 101.5 seconds.

The following box is an illustrative example, not a measurement from the supplied Meridian file:

{
  "box2d": [200, 100, 800, 700],
  "centerX": 40,
  "centerY": 50
}

For frame width W and height H, convert a box coordinate with xPixels = x / 1000 * W or yPixels = y / 1000 * H. The percentage centers are centerX = (xmin + xmax) / 20 and centerY = (ymin + ymax) / 20. Do not treat a box coordinate as a percentage or a center percentage as a pixel position.

Advisories

shotAdvisories describes an advisory outcome. Its presence is independent of other shot-detail fields.

  • status — Assessment outcome. See Advisory outcomes.
  • advisories — Advisory result entries. Each entry is described below.

Advisory outcomes

  • ANALYZED — Advisory assessment completed, including shots cleared without an individual review. An empty advisory list in this state means no advisories were reported.
  • BLOCKED — Assessment was refused. Current tobacco handling can return a conservative TOBACCO advisory with UNKNOWN confidence. This does not confirm observed imagery or establish a clean result.

Advisory entries

Each entry in advisories contains:

  • category — Kind of imagery: TOBACCO (tobacco products or smoking imagery) or VAPE (vaping devices or imagery).
  • confidence — Qualitative confidence: HIGH, MEDIUM, LOW or UNKNOWN. UNKNOWN means no model verdict was produced, as with blocked assessment; it does not mean low confidence.
  • reason — Brief explanation of the finding or conservative blocked-assessment policy. null when unavailable. Retains its original text in translated files.

Credits

Credits come from readable on-screen credit text. Missing text or unsuccessful extraction can produce empty defaults. They are not an exhaustive cast, crew or music catalogue.

  • persons — Selected people, deduplicated by name and department. Multiple roles in one department do not imply multiple entries; company names are excluded.
  • songs — Credited opening, ending or insert songs. This is not a list of all background music heard in the video.
  • copyright — Production copyright year as text, such as 2016, extracted from a credit notice. Empty when unavailable; older files can omit it. It is not the full notice or a determination of ownership, licensing or permitted use. Retains its original value in translated files.

People

Each item in credits.persons has:

  • name — Credited person's name. Extraction can normalize all-capital names; translation preserves the person's identity.
  • role — Character played for an acting credit, or the standardized job title for crew. Cast can represent an acting credit without a character name. Empty when unavailable.
  • department — Assigned credit department, using the values below.

Department values retain their enum names across translations:

  • ACTING — Actors and voice actors.
  • ANIMATION — Animation direction, character design and related selected credits.
  • CASTING — Casting direction.
  • CINEMATOGRAPHY — Photography and camera direction.
  • COSTUME_DESIGN — Costume design.
  • DIRECTING — Direction, episode direction and storyboarding.
  • FILM_EDITING — Picture editing.
  • MAKEUP_AND_HAIRSTYLING — Makeup and hair styling.
  • MUSIC — Composition and selected music credits.
  • PRODUCTION — Producing and executive producing.
  • PRODUCTION_DESIGN — Production design.
  • SOUND — Sound design and direction.
  • VISUAL_EFFECTS — Visual-effects supervision.
  • WRITING — Screenwriting, series composition and original creation.
  • UNKNOWN — No department assigned.

Songs

Each item in credits.songs describes a song identified in visible credits. Its text retains its original values in translated files.

  • name — Credited song title. Empty when unavailable.
  • artist — Credited performer. Empty when unavailable.

Translated files

Translated variants use names such as asset-description_de.json. Their JSON structure follows the original result, with translatable descriptive text in the requested language. Exceptions are noted beside the relevant fields and objects above. Enum names remain unchanged.

A requested output language is different from a language detected in the input. Availability of translated results depends on the requested analysis outputs; this file does not imply that every language variant exists.

Example output

The supplied Meridian result contains nine scenes and 90 shots over 718.98 seconds. Its metadata.version is 1.3.0, identifying the software that generated that example. The descriptive text, character matches and rating estimates are shown as generated, not independently verified facts.

This historical example has no box2d or credits.copyright properties. Their absence is preserved below; the field reference above explains those additions to the file contract. Do not infer that a missing historical field is unsupported by later outputs.

Short example

The following is valid JSON abridged from the supplied result. It keeps one scene and selected array entries, and omits verboseSummary for readability. Original values, video-relative bounds and the full asset duration are retained. The excerpt therefore does not cover the entire video. The full example follows it.

{
  "scenes": [
    {
      "title": "Noir Office Investigation and Stormy Witness",
      "startInSeconds": 29.75,
      "endInSeconds": 198.125,
      "id": "4bfb6250-febf-423e-9476-5bbb4d039370",
      "content": {
        "characters": [
          {
            "characterAppearance": {
              "summary": "Older man with thinning dark hair and pale complexion, smoking at a desk.",
              "gender": "male",
              "approximateAge": "FORTIES",
              "hairColor": "DARK",
              "hairStyle": "short",
              "hairFullness": "thinning",
              "facialHair": "clean-shaven",
              "physicalBuild": "average",
              "distinguishingFeatures": "",
              "clothing": "white dress shirt, dark tie, suspenders"
            },
            "name": "Mannequin 2",
            "playedBy": "Mike Deadman",
            "description": "Recounts details of individuals being investigated, including arrests and witness accounts, with a weary and sarcastic tone."
          }
        ],
        "objects": [
          {
            "description": "Circular fan with a metallic grille.",
            "category": "Desk accessory"
          }
        ],
        "settings": [
          {
            "location": {
              "name": "Dimly lit office",
              "description": "A cluttered office with filing cabinets and a desk, reminiscent of a 1940s detective film."
            },
            "timeOfDay": "Night",
            "atmosphere": {
              "mood": "Mysterious, Tense",
              "lighting": "Dim, dramatic shafts of light",
              "weather": "Thunder, lightning, heavy rain"
            }
          }
        ],
        "dynamics": {
          "tension": "HIGH",
          "pacing": "MEASURED"
        }
      },
      "summary": "In a dimly lit 1940s-style office, two detectives discuss ongoing investigations involving several individuals and a mysterious incident during a storm. The scene ends with lingering questions and a sense of unease.",
      "sensitiveTopics": [
        "drunk driving",
        "violence"
      ],
      "keywords": [
        "detective",
        "noir",
        "investigation",
        "office",
        "mystery",
        "witness",
        "interrogation",
        "suspense",
        "rain",
        "El Dorado"
      ],
      "iab": {
        "contentVersion": "3.1",
        "adProductVersion": "2.0",
        "contentTaxonomies": [
          "380",
          "331",
          "KHPC5A",
          "KHPC6A"
        ],
        "adOpportunityTaxonomies": [
          "1003",
          "1006",
          "1007"
        ],
        "sensitiveTopicTaxonomies": []
      },
      "type": "MAIN_CONTENT",
      "shots": [
        {
          "startInSeconds": 29.75,
          "endInSeconds": 36.166667,
          "detailedDescription": "A man in a white shirt and suspenders is smoking, with smoke billowing around him. He is in a dimly lit room with a clock on the wall and a desk lamp providing light. The scene has a noir atmosphere.",
          "keywords": [
            "man",
            "smoking",
            "office",
            "noir",
            "detective",
            "vintage",
            "smoke",
            "lamp",
            "clock"
          ],
          "mainSubjects": [
            {
              "classification": "Person",
              "description": "A man in a white shirt and suspenders, smoking a cigarette.",
              "appearanceTimeInSeconds": 0,
              "centerX": 50,
              "centerY": 50
            }
          ],
          "shotAdvisories": {
            "status": "ANALYZED",
            "advisories": [
              {
                "category": "TOBACCO",
                "confidence": "MEDIUM",
                "reason": "man exhales thick clouds of tobacco smoke"
              }
            ]
          }
        }
      ],
      "adOpportunityInformation": {
        "reason": "The driver's terror and the woman's unnerving gaze in the rearview mirror create a moment of high tension that depends on the immediate cut, while the storm sounds continue.",
        "score": 0.2
      }
    }
  ],
  "duration": 718.98,
  "description": "A noir-style narrative unfolds, beginning with a 1947 Los Angeles street title sequence. The story follows detectives investigating mysterious disappearances and encounters, featuring tense confrontations, stormy weather, and unsettling imagery. The video concludes with production credits and technology logos.",
  "title": "Meridian: A Noir Investigation",
  "keywords": [
    "noir",
    "detective",
    "Los Angeles"
  ],
  "ratings": [
    {
      "region": "EU",
      "system": "European Movie ratings",
      "rating": "S"
    }
  ],
  "sensitiveTopics": [
    "violence",
    "suspense"
  ],
  "iabSensitiveTopicTaxonomies": [],
  "inputLanguageCodes": [
    "en"
  ],
  "credits": {
    "persons": [
      {
        "name": "Curtis Clark",
        "role": "Director",
        "department": "DIRECTING"
      },
      {
        "name": "Curtis Clark",
        "role": "Screenplay",
        "department": "WRITING"
      }
    ],
    "songs": []
  },
  "metadata": {
    "version": "1.3.0",
    "disclaimer": "Generated by Bitmovin AI"
  }
}

Full example

Expand the complete Meridian example (nine scenes, 90 shots)
{
  "scenes": [
    {
      "title": "1947 Los Angeles Street Title Sequence",
      "startInSeconds": 0,
      "endInSeconds": 29.75,
      "id": "6b9ad980-f411-49e8-8c0b-188f8367bc40",
      "content": {
        "characters": [],
        "objects": [
          {
            "description": "Vintage cars including coupes, sedans, a red trolley, a flatbed truck with sacks, and a light-colored convertible.",
            "category": "Vehicle"
          },
          {
            "description": "Marquees and signs for J.C. PENNEY CO., LOEW'S THEATRE, HOLLYWOOD sign, HOLLYWOOD HOTEL, HOTEL DRAKE, CARL COCHRAN THEATRE, GRAUMAN'S CHINESE THEATRE, FLORENTINE GARDENS, and GRUEN TIME clock.",
            "category": "Signage"
          },
          {
            "description": "The 'Meridian' title card, large and white, superimposed over the scene.",
            "category": "Title Card"
          }
        ],
        "settings": [
          {
            "location": {
              "name": "Los Angeles Street",
              "description": "A busy street in Los Angeles with vintage cars, buildings, and pedestrians."
            },
            "timeOfDay": "Daytime",
            "atmosphere": {
              "mood": "Bustling, Vibrant",
              "lighting": "Daylight",
              "weather": "Clear"
            }
          }
        ],
        "dynamics": {
          "tension": "LOW",
          "pacing": "BRISK"
        }
      },
      "summary": "This title sequence establishes the setting of a bustling 1947 Los Angeles street, showcasing vintage cars, iconic landmarks, and city life before the title card 'Meridian' appears.",
      "verboseSummary": "The video opens with a title sequence that establishes the setting and time period. The first shot is a wide, slightly shaky, color-saturated view of a bustling street in Los Angeles in 1947. Vintage cars, including coupes, sedans, and what appear to be buses or trolleys, fill the multi-lane street. A red trolley car is visible in the foreground on the left. Buildings line both sides of the street, with marquees and signs indicating shops and theaters. On the left, a building prominently displays \"J.C. PENNEY CO.\" and \"LOEW'S THEATRE.\" On the right, a tall building features a vertical \"HOLLYWOOD\" sign. The sky is a pale blue, and the overall impression is of a vibrant, active urban environment.\n\nAs the camera pans slightly, a red flatbed truck carrying large, stacked sacks, possibly cement or grain, drives past in the mid-ground. A light-colored convertible cruises by in the foreground. Pedestrians are visible on the sidewalks, dressed in mid-20th-century attire. The soundscape is filled with the ambient noise of city traffic—the rumble of engines, the occasional horn honk, and the faint sound of trolley wheels on tracks.\n\nThe scene then shifts to focus on specific landmarks. A sign for the \"HOLLYWOOD HOTEL\" is seen with its distinctive red awning. In the background, the brick building of the \"HOTEL DRAKE\" is visible, with its name illuminated in neon letters. Further down the street, the marquee of the \"CARL COCHRAN THEATRE\" is prominent, advertising \"THE MOST BEAUTIFUL GIRLS IN THE WORLD.\" Nearby, the ornate facade of \"GRAUMAN'S CHINESE THEATRE\" is shown, with its distinctive pagoda-like architecture. Another building features a sign for \"FLORENTINE GARDENS\" and a \"GRUEN TIME\" clock.\n\nThe camera continues to move, capturing more street-level activity. Vintage cars, including a dark Cadillac and a lighter green sedan, are seen driving on the street, with other vehicles and pedestrians in the background. The overall visual style is reminiscent of archival footage, with a slightly faded color palette and a gentle flicker.\n\nTowards the end of the sequence, the camera settles on a wide shot of a busy intersection in front of a large building, possibly a bank or government office, with ornate arched windows. The \"Meridian\" title card appears, large and white, superimposed over the busy street scene. The word \"Meridian\" is centered on the screen, with the letters slightly softened. The background continues to show the traffic and architecture of 1940s Los Angeles. The soundscape remains consistent with the ambient city noises. The sequence concludes with the title card still visible as the video fades to black. No dialogue is present throughout this title sequence.",
      "sensitiveTopics": [],
      "keywords": [
        "Los Angeles",
        "1947",
        "vintage cars",
        "street scene",
        "title sequence",
        "Hollywood",
        "archival footage",
        "city traffic"
      ],
      "iab": {
        "contentVersion": "3.1",
        "adProductVersion": "2.0",
        "contentTaxonomies": [
          "25",
          "8VZQHL",
          "153",
          "TIFQA5",
          "324",
          "655"
        ],
        "adOpportunityTaxonomies": [
          "1058",
          "1165",
          "1277",
          "1551"
        ],
        "sensitiveTopicTaxonomies": []
      },
      "type": "OPENING_CREDITS",
      "shots": [
        {
          "startInSeconds": 0,
          "endInSeconds": 1.083333,
          "detailedDescription": "A black screen with no discernible objects or subjects.",
          "keywords": [
            "black screen",
            "empty",
            "darkness",
            "no objects"
          ],
          "mainSubjects": [],
          "shotAdvisories": {
            "status": "ANALYZED",
            "advisories": []
          }
        },
        {
          "startInSeconds": 1.083333,
          "endInSeconds": 5.25,
          "detailedDescription": "A bustling street scene in Los Angeles in 1947, with vintage cars and a trolley moving along the road. Buildings line both sides of the street, featuring storefronts and signage. The overall impression is of a vibrant urban environment from the mid-20th century.",
          "keywords": [
            "Los Angeles",
            "1947",
            "vintage cars",
            "trolley",
            "street scene",
            "urban",
            "mid-20th century",
            "storefronts",
            "Hollywood"
          ],
          "mainSubjects": [
            {
              "classification": "Car",
              "description": "A vintage car driving down the street.",
              "appearanceTimeInSeconds": 0,
              "centerX": 50,
              "centerY": 50
            },
            {
              "classification": "Train",
              "description": "A red trolley car moving along tracks in the foreground.",
              "appearanceTimeInSeconds": 0,
              "centerX": 25,
              "centerY": 75
            },
            {
              "classification": "Building",
              "description": "A multi-story building with arched windows on the left side of the street.",
              "appearanceTimeInSeconds": 0,
              "centerX": 70,
              "centerY": 45
            },
            {
              "classification": "Building",
              "description": "A tall building with 'HOLLYWOOD' signage on the right side of the street.",
              "appearanceTimeInSeconds": 0,
              "centerX": 85,
              "centerY": 40
            },
            {
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          "detailedDescription": "This video shot captures a bustling street scene, likely in Hollywood, with a focus on a red truck carrying a large load of sacks. The truck is in motion, crossing tram tracks. Several other vehicles and pedestrians are visible on the street, with buildings lining both sides, including a prominent theater marquee that reads 'HOLLYWOOD'. The overall impression is of a busy urban environment in a bygone era.",
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      "title": "Noir Office Investigation and Stormy Witness",
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      "id": "4bfb6250-febf-423e-9476-5bbb4d039370",
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            "characterAppearance": {
              "summary": "Older man with thinning dark hair and pale complexion, smoking at a desk.",
              "gender": "male",
              "approximateAge": "FORTIES",
              "hairColor": "DARK",
              "hairStyle": "short",
              "hairFullness": "thinning",
              "facialHair": "clean-shaven",
              "physicalBuild": "average",
              "distinguishingFeatures": "",
              "clothing": "white dress shirt, dark tie, suspenders"
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            "name": "Mannequin 2",
            "playedBy": "Mike Deadman",
            "description": "Recounts details of individuals being investigated, including arrests and witness accounts, with a weary and sarcastic tone."
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          {
            "characterAppearance": {
              "summary": "Younger man with dark hair, sharp jawline, and dark eyes, sitting across from the older man.",
              "gender": "male",
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              "hairStyle": "short",
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              "physicalBuild": "average",
              "distinguishingFeatures": "",
              "clothing": "white shirt, dark tie, dark vest"
            },
            "name": "Mannequin 1",
            "playedBy": "Joseph Butler",
            "description": "Interjects with questions about the investigation and expresses concern about going 'out there'."
          }
        ],
        "objects": [
          {
            "description": "Circular fan with a metallic grille.",
            "category": "Desk accessory"
          },
          {
            "description": "Desk lamp casting a warm glow.",
            "category": "Desk accessory"
          },
          {
            "description": "Filing cabinets.",
            "category": "Office furniture"
          },
          {
            "description": "Wall clock showing it's past 10.",
            "category": "Wall clock"
          },
          {
            "description": "Bulletin board covered in photographs and notes.",
            "category": "Bulletin board"
          },
          {
            "description": "Black and white photo of a man with glasses.",
            "category": "Photograph"
          },
          {
            "description": "Black and white portrait of a man with short, dark hair and a stern expression.",
            "category": "Photograph"
          },
          {
            "description": "Black and white photo of a man with a fuller face, wearing a shirt and tie.",
            "category": "Photograph"
          },
          {
            "description": "Illegible handwritten notes pinned to the bulletin board.",
            "category": "Writing"
          }
        ],
        "settings": [
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            "location": {
              "name": "Dimly lit office",
              "description": "A cluttered office with filing cabinets and a desk, reminiscent of a 1940s detective film."
            },
            "timeOfDay": "Night",
            "atmosphere": {
              "mood": "Mysterious, Tense",
              "lighting": "Dim, dramatic shafts of light",
              "weather": "Thunder, lightning, heavy rain"
            }
          }
        ],
        "dynamics": {
          "tension": "HIGH",
          "pacing": "MEASURED"
        }
      },
      "summary": "In a dimly lit 1940s-style office, two detectives discuss ongoing investigations involving several individuals and a mysterious incident during a storm. The scene ends with lingering questions and a sense of unease.",
      "verboseSummary": "The scene opens in a dimly lit office, evocative of a 1940s detective film. A man, appearing to be in his late 40s or 50s, with thinning dark hair and a pale complexion, sits at a desk. He wears a white dress shirt, a dark tie, and suspenders. He is smoking, and a plume of smoke drifts upwards, catching the dramatic shafts of light that slant in from a window with horizontal blinds. The office is cluttered, with filing cabinets, a desk lamp casting a warm glow, and a wall clock showing it's past 10. A circular fan with a metallic grille is visible in the background.\n\nA younger man, appearing to be in his late 20s or early 30s, with dark hair, a sharp jawline, and dark eyes, sits across from him. He wears a white shirt, a dark tie, and a dark vest. He looks intently at the older man. A sign on the wall behind him reads \"DETECTIVE SQUAD\" in reverse, suggesting it's facing a mirror or a camera.\n\nThe older man, speaking with a gravelly voice and a weary tone, is recounting the background of some individuals they are investigating. He mentions one man who was a school teacher, another who sold insurance, and a third who was retired. He dismisses any criminal records or associations for these men. He then recounts an incident where one of them was arrested for drunk driving.\n\nThe younger man interjects, asking if there were any connections. The older man replies that he checked them all out. The younger man then asks, \"In that case, maybe you don't want to go out there, boss?\" The older man, with a hint of sarcasm, asks, \"Are you a comedian?\" He then elaborates on the incident, stating that the man who was arrested for drunk driving was driving on a stretch of road by El Dorado. He then shifts to another topic, describing a different man.\n\nThe scene cuts to a close-up of a bulletin board covered in photographs and notes. Three black and white photos are prominently displayed. The first shows a man with glasses, looking directly at the camera. The second is a portrait of a man with short, dark hair and a stern expression. The third shows a man with a fuller face, wearing a shirt and tie. Several handwritten notes are pinned near the photos, but they are mostly illegible.\n\nBack to the older man, he continues his narrative, stating that they are looking into another individual. He explains that this person was a witness to something that happened \"out there.\" The younger man questions why this witness wasn't mentioned earlier. The older man explains that he thought the witness was \"nuts.\" The younger man asks if he believes him now. The older man seems hesitant.\n\nHe then describes another incident: \"I had him check out too. Guys got damn eagle scout... So now, I don't know what to believe.\" He then recounts a story about a man walking his dog on the bluffs above El Dorado, near the rock that separates from the mainland. He describes the weather as being unusually bad, with thunder, lightning, and heavy rain. The man, seeing the worsening conditions, decided to \"hightail it out of there.\"\n\nThe older man then describes the man's actions: \"He looks back at the rock. The guy's gone. But there's a woman there. She's in a white dress, alabaster skin.\" He then adds, \"His words... looks like a mythical sea creature... from another time, another place.\" He then looks back at the weather, noting it's getting worse, and concludes that the man decided to \"hightail it out of there.\" He then states, \"And that was it. That was his story.\" The scene ends with the younger man looking thoughtfully at the older man, a slight smile playing on his lips.\n\nThe overall mood is tense and mysterious, characteristic of a noir detective story. The use of dramatic lighting, smoke, and the hushed tones of the dialogue create an atmosphere of intrigue and suspicion. The narrative is pieced together through fragmented accounts and seemingly disparate details, suggesting a complex investigation.",
      "sensitiveTopics": [
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        "violence"
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            "category": "Flashlight"
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      "adOpportunityInformation": {
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            "characterAppearance": {
              "summary": "Mannequin character listed in cast",
              "gender": "unknown",
              "approximateAge": "UNKNOWN",
              "hairColor": "UNKNOWN",
              "hairStyle": "Unknown",
              "hairFullness": "unknown",
              "facialHair": "Unknown",
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              "distinguishingFeatures": "",
              "clothing": "Unknown"
            },
            "name": "Mannequin 3",
            "playedBy": "James Brown",
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              "summary": "Mannequin character listed in cast",
              "gender": "unknown",
              "approximateAge": "UNKNOWN",
              "hairColor": "UNKNOWN",
              "hairStyle": "Unknown",
              "hairFullness": "unknown",
              "facialHair": "Unknown",
              "physicalBuild": "Unknown",
              "distinguishingFeatures": "",
              "clothing": "Unknown"
            },
            "name": null,
            "playedBy": null,
            "description": "Listed as Mannequin 2 in the cast."
          },
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              "summary": "Mannequin character listed in cast",
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              "approximateAge": "UNKNOWN",
              "hairColor": "UNKNOWN",
              "hairStyle": "Unknown",
              "hairFullness": "unknown",
              "facialHair": "Unknown",
              "physicalBuild": "Unknown",
              "distinguishingFeatures": "",
              "clothing": "Unknown"
            },
            "name": null,
            "playedBy": null,
            "description": "Listed as Mannequin 3 in the cast."
          }
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          {
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              "name": "Credits Sequence",
              "description": "Black background with white text."
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            "timeOfDay": "Unknown",
            "atmosphere": {
              "mood": "Neutral",
              "lighting": "Dim",
              "weather": "Unknown"
            }
          }
        ],
        "dynamics": {
          "tension": "LOW",
          "pacing": "SLOW"
        }
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    {
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      {
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        "role": "Screenplay",
        "department": "WRITING"
      },
      {
        "name": "Malcolm Duncan",
        "role": "Producer",
        "department": "PRODUCTION"
      },
      {
        "name": "Chris Fetner",
        "role": "Executive Producer",
        "department": "PRODUCTION"
      },
      {
        "name": "Mike Whipple",
        "role": "Executive Producer",
        "department": "PRODUCTION"
      },
      {
        "name": "Markus Förderer",
        "role": "Director of Photography",
        "department": "CINEMATOGRAPHY"
      },
      {
        "name": "Mari Lappaalainen",
        "role": "Production Designer",
        "department": "PRODUCTION_DESIGN"
      },
      {
        "name": "David Sconyers",
        "role": "Film Editor",
        "department": "FILM_EDITING"
      },
      {
        "name": "Alex Kovacs",
        "role": "Composer",
        "department": "MUSIC"
      },
      {
        "name": "Bill Taylor",
        "role": "Visual Effects Supervisor",
        "department": "VISUAL_EFFECTS"
      },
      {
        "name": "Joseph Butler",
        "role": "Mannequin 1",
        "department": "ACTING"
      },
      {
        "name": "Mike Deadman",
        "role": "Mannequin 2",
        "department": "ACTING"
      },
      {
        "name": "James Brown",
        "role": "Mannequin 3",
        "department": "ACTING"
      },
      {
        "name": "Erik Foreman",
        "role": "Sound Designer",
        "department": "SOUND"
      }
    ],
    "songs": []
  },
  "metadata": {
    "version": "1.3.0",
    "disclaimer": "Generated by Bitmovin AI"
  }
}

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