• Journal of KIISE:Software and Applications
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• v.31 no.2
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• pp.126-136
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• 2004

This paper proposes a new content-based image retrieval algorithm using color-spatial information. For the purpose, the paper suggests two kinds of indexing key to prune away irrelevant images to a given query image; MCS(Main Colors' Set), which is related with color information and DBS (Distribution Block Signature), which is related with spatial information. After successively applying these filters to a database, we could get a small amount of high potential candidates that are somewhat similar to the query image. Then we would make use of new QM(Quad modeling) and relevance feedback mechanism to obtain more accurate retrieval. It would enhance the retrieval effectiveness by dynamically modulating the weights of color-spatial information. Experiments show that the proposed algorithm can apply successfully image retrieval applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.6C
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• pp.610-618
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• 2002

This paper presents a new image retrieval method that is based on color space and block region information. The color space information of images can be obtained by color binary set, and the block region information can be obtained by regional segmentation and feature. The candidate images are decided by comparing with color features and its binary set of query image and image feature database for retrieval. Particularly, it is possible that the retrieval using similarity-measurements has the weights of color spatial distribution arid its objective block region features. This retrieval method using color spatial and block region features is shown with the effectiveness on the result of implementation on image database with 6,000 images.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.7
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• pp.1321-1334
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• 1994

This paper presents the service handling schemes of an intelligent peripheral(IP) which provides the service function as a physical entity in the intelligent network. Four service request handling scheme are compared for and IP which can handle both ordinary requests and prioritized requests on the blocked-call-delayed basis. Delayed requests are assumed to be stored in a finite storage buffer. Scheme-I exclusively allows prioritized requests be stored and to use a fixed number of reserved servers. The other three schemes without reserved servers(Scheme-II.III,and IV) allow both types of requests to be stored and prioritized requests pushout ordinary requests if the buffer is full. For these four schemes, the blocking probabilities and delay distributions of both types of requests are numerically obtained. From the numericall results, the schemes without reserved servers reduce the blocking probability of ordinary requists without a severe penalty on proritized requests. For three schemes without reserved servers, it is noted that prioritized requests should br served on the first-in, first-out basis, and ordinary requests should be served on the last-in, first-out basis.