Video object summarization in the MPEG-4 compressed domain

TitleVideo object summarization in the MPEG-4 compressed domain
Publication TypeConference Paper
Year of Publication2000
AuthorsErol, B., and F. Kossentini
Conference NameAcoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Pagination2027 -2030 vol.4
Keywordscode standards, content-based retrieval, data compression, frame-based digital video retrieval, Hamming distance measure, Hausdorff distance measure, image sequences, implementation complexity, key frames, key video object plane selection, MPEG-4, object-based framework, shape distance measures, telecommunication standards, video coding, video compression, video databases, video object summarization, video sequence

Summarization of video content is necessary in order to reduce the large amount of data involved in video retrieval. In a frame-based digital video retrieval framework, this is achieved by representing the content of a video sequence using key frames. Similarly, in an object-based framework, such as the one suggested by the MPEG-4 standard, video object planes can be used for summarization of video object content. We propose a method for key video object plane selection using the shape information in the MPEG-4 compressed domain. Two popular shape distance measures, the Hamming and Hausdorff distance measures, are employed to measure the similarities between the approximated shapes of the video objects. The corresponding algorithms, with different implementation complexity and computation tradeoffs, select key video object planes that represent efficiently the salient content of the video objects


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