Temporal Segmentation of MPEG Video Sequences
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
An Overview of MPEG-7 Motion Descriptors and Their Applications
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Automatic objects behaviour recognition from compressed video domain
Image and Vision Computing
Framework for measurement of the intensity of motion activity of video segments
Journal of Visual Communication and Image Representation
Video copy detection using multiple visual cues and MPEG-7 descriptors
Journal of Visual Communication and Image Representation
Camera motion estimation by image feature analysis
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Shot detection and motion analysis for automatic MPEG-7 annotation of sports videos
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
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In the last years a lot of work has been done on color, textural, structural and semantic indexing of "content-based" video databases. Motion-based video indexing has been less explored, with approaches generally based on the analysis of optical flows. Compressed videos require the decompression of the sequences and the computation of optical flows, two steps computationally heavy.In this paper we propose some methods to index videos by motion features (mainly related to camera motion) and by motion-based spatial segmentation of frames, in a fully automatic way. Our idea is to use MPEG motion vectors as an alternative to optical flows. Their extraction is very simple and fast; it doesn't require a full decompression of the stream and saves us from computing optical flows. Additional computational economy comes from having one motion vector each 16x16 sub-image; this makes the algorithms faster than working with dense optical flows. Experimental results reported at the end of this paper show that MPEG motion compensation vectors are suitable for this kind of applications.