A self-supervised video scene boundary detection method based on a timing scene creator
CN119007085BActive Publication Date: 2026-08-28CHONGQING UNIV
Patent Information
- Application Number
- CN202411216320.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-02
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2044-09-02
AI Technical Summary
Technical Problem
然而，这些方法考虑情况比较单一，上下文关系考虑得不充分，且非场景边界镜头主要来自随机选取，忽视了选中场景边界镜头的情况，因此标签数据存在一定的瑕疵
Benefits of technology
[0039]本发明通过TSC生成多组合成场景片段，在TSC模型的SBG中，通过拼接视频片段合成伪边界，并通过交换一定数量镜头实现边界增强；在NSBG模块中，通过来自同一伪场景内部的相邻镜头或者重复的伪场景末尾的镜头提供最有可能的非边界场景。经过上述两个模块，可以生成多个合成场景序列，为许多视频场景分割模型提供质量更高的数据，实现模型自监督，从而提高视频场景边界检测能力。
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Figure CN119007085B_ABST
Abstract
The application discloses a self-supervised video scene boundary detection method based on a timing scene creator, which selects video clips from different pseudo scenes respectively, splices two clips to synthesize a semantic transition point as a pseudo scene boundary. In order to enhance the diversity of the synthesized scene boundary, the application performs shot exchange between the involved video clips. In addition to the pseudo boundary, the application also provides the most likely non-boundary scene through adjacent shots from the same pseudo scene or the shots at the end of the repeated pseudo scene. The application effectively provides high-quality pseudo label data for self-supervised pre-training of video scene segmentation, and significantly improves the accuracy of the video scene segmentation model.
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Citation Information
Patent Citations
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