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N. Doulamis, A. Doulamis, Y. Avrithis and S. Kollias
Stochastic Algorithms for Visualization of Video Databases
Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP '99), Copenhagen, Denmark
ABSTRACT
A video content representation framework is proposed in this paper for extracting limited but meaningful information of video data directly from MPEG compressed domain. A hierarchical color and motion segmentation scheme is applied to each video shot, transforming the conventional frame-based representation to a feature-based one. Then, all features are gathered together using a fuzzy formulation and extraction of several key frames is performed for each shot in a content-based rate sampling framework. In particular, our approach is based on minimization of a cross-correlation criterion among video frames of a given shot, so as to be located a set of minimally correlated feature vectors.
01 January , 1999
N. Doulamis, A. Doulamis, Y. Avrithis and S. Kollias, "Stochastic Algorithms for Visualization of Video Databases", Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP '99), Copenhagen, Denmark
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