A Representative-Video-Frame Selection Method for a Content-Based Video-Query-Agent System
نویسنده
چکیده
An optimum representative-frames (r-frames) selection method using step-wise function approximation has been developed to provide automatic indexing for a video-queryagent (VQA) system. It uses dynamic programming to simultaneously select the r-frames and corresponding segment boundaries. Experiments showed that the approximation error of the selected r-frames was less than that of two conventional methods. Retrieval experiments using a feature-based image-search engine showed that the proposed method is more robust and effective than the two conventional methods. The proposed method was implemented in a VQA system and processing time was evaluated. The results showed that the processing time for indexing was shorter than that of the conventional method. key words: video query agent, optimum r-frames selection, dynamic programming, video indexing
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