ca4a54181e
- Updated WorldCatIdentifier.yaml to remove unnecessary description and ensure consistent formatting. - Enhanced WorldHeritageSite.yaml by breaking long description into multiple lines for better readability and removed unused attributes. - Simplified WritingSystem.yaml by removing redundant attributes and ensuring consistent formatting. - Cleaned up XPathScore.yaml by removing unnecessary attributes and ensuring consistent formatting. - Improved YoutubeChannel.yaml by breaking long description into multiple lines for better readability. - Enhanced YoutubeEnrichment.yaml by breaking long description into multiple lines for better readability. - Updated YoutubeVideo.yaml to break long description into multiple lines and removed legacy field name. - Refined has_or_had_affiliation.yaml by removing unnecessary comments and ensuring clarity. - Cleaned up is_or_was_retrieved_at.yaml by removing unnecessary comments and ensuring clarity. - Added rules for generic slots and avoiding rough edits in schema files to maintain structural integrity. - Introduced changes_or_changed_through.yaml to define a new slot for linking entities to change events.
97 lines
2.8 KiB
YAML
97 lines
2.8 KiB
YAML
id: https://nde.nl/ontology/hc/class/VideoFrame
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name: VideoFrame
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title: VideoFrame Class
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prefixes:
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linkml: https://w3id.org/linkml/
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hc: https://nde.nl/ontology/hc/
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schema: http://schema.org/
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oa: http://www.w3.org/ns/oa#
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imports:
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- linkml:types
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- ../slots/has_or_had_quantity
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- ../slots/has_or_had_unit
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- ./Quantity
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- ./Unit
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default_prefix: hc
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classes:
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VideoFrame:
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class_uri: schema:VideoObject
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description: 'A video frame or set of frames analyzed during video processing.
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**PURPOSE**:
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Represents frames from a video that have been analyzed by computer vision
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or multimodal AI models. Used to track frame-based analysis parameters
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such as sample rate (frames per second analyzed) and total frames processed.
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**USE CASES**:
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- Video annotation (object detection, scene analysis)
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- Frame sampling configuration
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- Analysis throughput tracking
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- Computer vision pipeline configuration
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**FRAME SAMPLE RATE**:
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The sample rate determines how many frames are analyzed per second of video:
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| Sample Rate | Frames/sec | Use Case |
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|-------------|------------|----------|
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| 0.1 fps | 1 every 10s | Overview/thumbnails |
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| 1.0 fps | 1 per second | Standard analysis |
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| 5.0 fps | 5 per second | Detailed analysis |
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| 30.0 fps | Every frame | Exhaustive analysis |
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Higher sample rates capture more detail but increase compute cost.
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**MIGRATION SUPPORT**:
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This class supports migration from the frame_sample_rate slot per
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slot_fixes.yaml. Use with has_or_had_quantity + Quantity + has_or_had_unit + Unit.
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'
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exact_mappings:
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- oa:Target
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close_mappings:
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- schema:VideoObject
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slots:
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- has_or_had_quantity
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- has_or_had_unit
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slot_usage:
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has_or_had_quantity:
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range: integer
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inlined: true
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multivalued: false
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examples:
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- value: 'has_or_had_unit:
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'
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- value: "has_or_had_unit:\n has_or_had_label:\n - label_text: \"frames per second\"\n"
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has_or_had_unit:
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range: string
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inlined: true
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annotations:
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custodian_types: '["D"]'
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custodian_types_rationale: Video frames are primarily relevant for digital platforms (D) that host or process video
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content.
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custodian_types_primary: D
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specificity_score: 0.7
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specificity_rationale: Moderately specific - applies only to video analysis contexts.
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examples:
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- value: "VideoFrame:\n has_or_had_quantity:\n has_or_had_unit:\n"
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- value: "VideoFrame:\n has_or_had_quantity:\n has_or_had_unit:\n"
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comments:
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- Created from slot_fixes.yaml migration (2026-01-22)
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- Use with analyzes_or_analyzed slot to track frame analysis
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- Sample rate affects both coverage and compute cost
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