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A New Distance Measure for Segmented Images Based on MPEG-7 Descriptors

出版	Leiter der Fachbibliothek Informatik, Sekretariat FR 5-4, 2002
URL	http://books.google.com.hk/books?id=OJgTNAEACAAJ&hl=&source=gbs_api

註釋Abstract: "A new distance measure to compare whole and parts of images is proposed. This measure considers the color, shape and texture properties of image segments as well as their relative positions mutually. A proof of metric property is presented. After image segmentation MPEG-7 descriptors are computed for each segment. Now the information-reduced images will be represented by labeled graphs. To compute a generalization of the so called 'Zelinka-Distance' it is necessary to solve the maximum weight clique problem in an extended compatibility graph. This problem is solved by connectionistic methods, which are proved to be suitable. The new distance measure is used to improve retrieval results in context based image retrieval."