Intelligent Video Search & Retrieval Analysis
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About this skill
Problem
Finding clips such as 'person wearing red clothes', 'talking on the phone', or a specific object in long videos is hard with keywords and manual review. This skill focuses on video search and retrieval analysis, turning target descriptions, image/video inputs, or URLs into structured retrieval tasks for security surveillance and video asset management.
How It Works
- Three modes: conventional object retrieval, natural-language description retrieval, and vectorized model matching.
- Inputs and outputs: supports
mp4,avi,mov, local files, or network URLs; returns a structured analysis report, detection/monitoring results, suggestions, and report links. - Workflow: provide video input, let the system handle identity internally, run the
video_search_analysisscript, and review the analysis. - History reports: when the user asks for past reports, the skill reads the report list from the cloud API and outputs a Markdown table.
Limits and Notes
- Search results are for reference; verify against the actual video content.
- Use only the skill's bundled scripts instead of generating temporary scripts.
- Network URLs are downloaded by the API service; no local pre-download is required.
- Historical report data must come from the cloud API, not local memory or manual summaries.
Use Cases
- Locate related surveillance clips by searching for a person wearing red clothes.
- Search a video asset library by object or action descriptions and generate reports.
- Search a client-provided video URL for specified targets and output detection results.
- Query the cloud-based historical report list and format it into a table.
Best For
- Security operations staff who need to locate people, vehicles, objects, or abnormal actions in surveillance video.
- Video asset managers who want to retrieve clips by natural-language descriptions and keep structured reports.
- Multimodal application engineers who need to call a video retrieval API to locate clips and parse results.
- Data operations staff who need to review historical search report lists and verify cloud-returned fields.
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