Composition and use value of analyzed results
The analysis.json file output by the tool uses a standardized data structure and contains three main parts:
1. Metadata section
- Basic video information: resolution, duration, size
- Processing configuration snapshot: model parameters/sampling rate used
- Analyze timestamps: task start/end times
2. Visual analysis of data
- Keyframe Sequence: each frame contains:
- Precise time stamping (milliseconds)
- Text describing the scene (e.g., "Five people are seated in the conference room.")
- List of Significant Objects and Confidence Levels - Scene change detection: marking the point at which the camera switches
3. Voice transcription data
- Segmented text: semantically segmented dialog content
- Speaker tagging: optional supported voiceprint recognition
- Time alignment: the start and end time of each paragraph of text.
Examples of data applications::
- Implementing Video Content Search with Timestamps
- Combining screen descriptions and transcribed text to generate subtitles
- Frequency of occurrence of products through object detection
- Training Custom AI Models with JSON Data
The output format also supports conversion to SRT subtitles or CSV statistical tables.
This answer comes from the articleVideo Analyzer: analyzes video content and generates detailed descriptionsThe
May not be reproduced without permission:AI productivity tools " What specific information is contained in the output generated by the video analytics tool?
