Color Content Matching of MPEG-4 Video Objects
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
An MPEG-4 Tool for Composing 3D Scenes
IEEE MultiMedia
MPEG-4 authoring tool using moving object segmentation and tracking in video shots
EURASIP Journal on Applied Signal Processing
Key object-based static video summarization
MM '11 Proceedings of the 19th ACM international conference on Multimedia
MPEG-4 video retrieval using video-objects and edge potential functions
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
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Object-based video representation, such as the one suggested by the MPEG-4 standard, offers a framework that is better suited for object-based video indexing and retrieval. In such a framework, the concept of a “key frame” is replaced by that of a “key video object plane”. In this paper, we propose a method for key video object plane selection using the shape information in the MPEG-4 compressed domain. The shape of the video object (VO) is approximated using the shape coding modes of I, P, and B video object planes (VOPs) without decoding the shape information in the MPEG-4 bit stream. Two popular shape distance measures, the Hamming and Hausdorff distance measures, are modified to measure the similarities between the approximated shapes of the video objects. Although they feature different computational and implementation complexity tradeoffs, the corresponding algorithms achieve essentially the same performance levels in selecting key video object planes that represent efficiently the salient content of the video objects