Local motion descriptors

TitleLocal motion descriptors
Publication TypeConference Paper
Year of Publication2001
AuthorsErol, B., and F. Kossentini
Conference NameMultimedia Signal Processing, 2001 IEEE 4th Workshop on
Pagination467 -472
Keywordsangular area, angular radial transform, arbitrarily shaped video objects, binary shape masks, circular area, data compression, database indexing, feature extraction, Fourier coefficients, Fourier transforms, human ranking, image retrieval, indexing, large video databases, local motion descriptors, motion estimation, motion features, MPEG-4 compression, very large databases, video coding, video databases, video retrieval

Motion features play an important role in video retrieval. We propose three new motion features that describe the local motion of arbitrarily shaped video objects. The proposed descriptors are based on the angular and circular area variances of the video object, the variances of the angular radial transform coefficients of the object's area, and the variances of the Fourier coefficients of the object's boundary. These descriptors can be derived directly from the MPEG-4 compressed domain or can be computed using the binary shape masks of the video objects in the spatial domain. Our experiments show that the ranking obtained by querying with our proposed features closely matches the human ranking


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