Efficient video indexing scheme for content-based retrieval 论文

1999IEEE Transactions on Circuits and Systems for Video Technology引用 240
Video Analysis and SummarizationMusic and Audio ProcessingImage Retrieval and Classification Techniques

详细信息

发表期刊/会议
IEEE Transactions on Circuits and Systems for Video Technology
发表日期
1999-01-01
发表年份
1999

关键词

Video Analysis and SummarizationMusic and Audio ProcessingImage Retrieval and Classification Techniques

摘要

Extracting a small number of key frames that can abstract the content of video is very important for efficient browsing and retrieval in video databases. In this paper, the key frame extraction problem is considered from a set-theoretic point of view, and systematic algorithms are derived to find a compact set of key frames that can represent a video segment for a given degree of fidelity. The proposed extraction algorithms can be hierarchically applied to obtain a tree-structured key frame hierarchy that is a multilevel abstract of the video. The key frame hierarchy enables an efficient content-based retrieval by using the depth-first search scheme with pruning., Intensive experiments on a variety of video sequences are presented to demonstrate the improved performance of the proposed algorithms over the existing approaches.