巡课视频数据自动化标注的方法、系统、装置和存储介质
By automatically identifying teaching features and interest frames in classroom observation videos and generating quality analysis results, the problem of low efficiency in classroom observation video supervision is solved, and efficient teaching quality assessment and improvement are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGXI TAYI INFORMATION TECH CO LTD
- Filing Date
- 2025-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for monitoring classrooms via video are inefficient and susceptible to subjective influences. Manual video observation is also inefficient and cannot effectively assess teaching quality.
By acquiring classroom audio features and video frame sequences from classroom observation video data, machine learning algorithms are used to identify teaching features, determine interest frame sequences, and generate quality analysis results, including indicators such as teacher-student interaction frequency, knowledge point coverage, and student concentration, thereby achieving automated annotation.
It improves the efficiency of classroom observation video monitoring, provides accurate teaching quality assessment, saves manpower costs, and improves the efficiency of teaching quality confirmation.
Smart Images
Figure CN120318739B_ABST