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A multi-feature description scheme for image and video database retrieval


Ray Liu, K.J. ; IEEE Signal Processing Society:
IEEE 3rd Workshop on Multimedia Signal Processing 1999 : September 13 - 15, 1999, Copenhagen, Denmark
Piscataway: IEEE Operations Center, 1999
ISBN: 0-7803-5610-1
ISBN: 0-7803-5611-X
Workshop on Multimedia Signal Processing (MMSP) <3, 1999, Kopenhagen>
Conference Paper
Fraunhofer HHI ()
content-based retrieval; video databases; multi-feature description scheme; image and video database retrieval; visual information content; mpeg-7 standard; similarity-based retrieval; filtering; contrast/color manipulation; resizing; human perception properties; hierarchical search procedure; search engine; visual database systems; normative feature description

This paper reports about a description scheme for visual information content, which has been developed in the context of the forthcoming MPEG-7 standard. The system supports similarity-based retrieval of visual (image and video) data along feature axes like color, texture, shape/geometry and motion. The descriptors for these features have been developed in a way such that invariance against common transformations of visual material, e.g. filtering, contrast/color manipulation, resizing etc. is achieved, and that they are fitted to human perception properties. Furthermore, descriptors have been designed that allow a fast, hierarchical search procedure. A search engine has been developed on the basis of this description scheme, which allows similarity-based retrieval from an image or video database. The results show that efficient search and retrieval in visual database systems is possible based on a normative feature description such as MPEG-7.