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Ahmed H. Tewfik, Mitchell Swanson. Embedded Object Dictionaries for Image Database Browsing and Searching, IEEE International Conference on Image Processing, September 1996 (ICIP 96). Vol. III 1996. pp. 875-878. ftp://oz.ee.umn.edu/pub/tewfik/1996/multimedia/icip_96.ps.Z

 



Abstract: We describe a technique to encode images for content-based access and retrieval. Potential query terms are first extracted from an image and represented in terms of multiresolution subbands. A vector quantizer structure then maps the subbands of each image object onto a set of embedded dictionaries. An algorithm is used to exploit the occurrence and query probabilities of the objects for efficient coding and retrieval. Furthermore, a new browsing tool based on multiresolution prototypes is proposed. A prototype object is associated with each dictionary entry. Prototype objects may be substituted for subband data for high quality image browsing during retrieval.
Keywords: content-based retrieval, image databases, image indexing, query by content, query by example, wavelets, VQ
Available in Compressed Postscript

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