glam/schemas/20251121/linkml/modules/classes/VideoAnnotation.yaml

id: https://nde.nl/ontology/hc/class/VideoAnnotation
name: video_annotation_class
title: Video Annotation Class
imports:
- linkml:types
- ../enums/AnnotationTypeEnum
- ../slots/analyze
- ../slots/contain
- ../slots/filter
- ../slots/has_quantity
- ../slots/has_rationale
- ../slots/has_score
- ../slots/has_threshold
- ../slots/has_type
- ../slots/has_measurement_unit
- ../slots/has_bounding_box
- ../slots/mask
- ../slots/has_method
- ../slots/has_model
- ../slots/has_objective
prefixes:
  linkml: https://w3id.org/linkml/
  hc: https://nde.nl/ontology/hc/
  schema: http://schema.org/
  dcterms: http://purl.org/dc/terms/
  prov: http://www.w3.org/ns/prov#
  crm: http://www.cidoc-crm.org/cidoc-crm/
  oa: http://www.w3.org/ns/oa#
  as: https://www.w3.org/ns/activitystreams#
default_prefix: hc
classes:
  VideoAnnotation:
    is_a: VideoTextContent
    class_uri: oa:Annotation
    abstract: true
    alt_descriptions:
      nl: Abstracte basisklasse voor computer-vision en multimodale video-annotaties.
      de: Abstrakte Basisklasse fuer Computer-Vision- und multimodale Videoannotationen.
      fr: Classe de base abstraite pour les annotations video en vision par ordinateur et multimodales.
      es: Clase base abstracta para anotaciones de video por vision por computador y multimodales.
      ar: فئة أساس مجردة لتعليقات الفيديو المعتمدة على الرؤية الحاسوبية ومتعددة الوسائط.
      id: Kelas dasar abstrak untuk anotasi video berbasis visi komputer dan multimodal.
      zh: 用于计算机视觉/多模态视频注释的抽象基类。
    structured_aliases:
    - literal_form: videoannotatie
      in_language: nl
    - literal_form: Videoannotation
      in_language: de
    - literal_form: annotation video
      in_language: fr
    - literal_form: anotacion de video
      in_language: es
    - literal_form: وسم فيديو
      in_language: ar
    - literal_form: anotasi video
      in_language: id
    - literal_form: 视频注释
      in_language: zh
    description: >-
      Abstract base class for structured annotations derived from visual or
      multimodal analysis of video content.      
    exact_mappings:
    - oa:Annotation
    close_mappings:
    - crm:E13_Attribute_Assignment
    related_mappings:
    - as:Activity
    - schema:ClaimReview
    slots:
    - has_rationale
    - contain
    - has_type
    - filter
    - has_bounding_box
    - mask
    - has_method
    - has_model
    - has_objective
    - has_score
    - analyze
    slot_usage:
      has_type:
#         range: string # uriorcurie
        required: true
        examples:
        - value:
            has_code: OBJECT_DETECTION
            has_label: Object Detection
      contain:
#         range: string
        multivalued: true
        required: false
        inlined_as_list: false # Fixed invalid inline for primitive type
        examples:
        - value:
            has_label: Night Watch painting visible
            has_description: 30.0 - 35.0 seconds
      has_rationale:
#         range: string
        required: false
        examples:
        - value:
            has_label: ClassifyingMotivation
      filter:
        description: Detection filtering metadata including count and threshold settings.
        range: DetectedEntity
        inlined: true
        required: false
        examples:
        - value:
            has_quantity:
              has_measurement_unit: detections
            has_threshold:
              has_value: 0.5
        - value:
            has_quantity:
              has_measurement_unit: detections
            has_threshold:
              has_label: High Precision
      analyze:
        description: Frame analysis metadata (e.g., sample rate and analyzed frames).
        range: VideoFrame
        inlined: true
        required: false
        examples:
        - value:
            has_quantity:
              has_measurement_unit: frames
        - value:
            has_quantity:
              has_measurement_unit: samples per second
      has_method:
        range: boolean
        required: false
        examples:
        - value: true
      has_model:
#         range: string
        required: false
        examples:
        - value: Transformer
        - value: CNN
      has_objective:
#         range: string
        required: false
        examples:
        - value: detection
        - value: captioning
      has_bounding_box:
        range: boolean
        required: false
        examples:
        - value: true
      mask:
        range: boolean
        required: false
        examples:
        - value: false
    comments:
    - Abstract base for all CV/multimodal video annotations
    - Extends VideoTextContent with frame-based analysis parameters
    - W3C Web Annotation compatible structure
    - Supports both temporal and spatial annotation
    - Tracks detection thresholds and model architecture
    see_also:
    - https://www.w3.org/TR/annotation-model/
    - http://www.cidoc-crm.org/cidoc-crm/E13_Attribute_Assignment
    - https://iiif.io/api/presentation/3.0/
    annotations:
      specificity_score: 0.1
      specificity_rationale: Generic utility class/slot created during migration
      custodian_types: "['*']"
      modeling_notes: |
        Typical subclasses

        - VideoSceneAnnotation (shot/scene structure)
        - VideoObjectAnnotation (objects/faces/logos/landmarks)
        - VideoOCRAnnotation (text visible in frames)

        Alignment

        Uses oa:Annotation for annotation semantics and extends VideoTextContent
        for provenance and quality metadata.