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By Zongmin Ma

The expanding development of multimedia information use is probably going to speed up growing an pressing want of offering a transparent technique of shooting, storing, indexing, retrieving, reading, and summarizing facts via picture facts.

Artificial Intelligence for Maximizing content material dependent snapshot Retrieval discusses significant features of content-based picture retrieval (CBIR) utilizing present applied sciences and functions in the synthetic intelligence (AI) box. supplying cutting-edge study from best foreign specialists, this publication deals a theoretical standpoint and sensible recommendations for academicians, researchers, and practitioners.

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A distance function is then calculated between the query image feature vector and the representative feature vectors of all clusters having the same class of images (texture/non-texture) as the query image. The cluster with the minimum distance from the query image is then searched for matches. , the Euclidean distance between two colors approximately equals to the perceived color difference (Healey and Enns, 1999). While L encodes luminance, which corresponds to the perceived brightness (or gray scale level) of a color, U and V encode the color information of a pixel.

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Springer Berlin / Heidelberg Publisher. , & Zadeh, L. A. ). (2006). Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing). Springer Press. Haikonen, P. O. ). (2007). Robot Brains: Circuits and Systems for Conscious Machines. Wiley Press. Julesz, B. ). (1995). Dialogues on Perception. Cambridge: Bradford/MIT Press. , & Rushes, H. M. (2007). Summarization with Self-Organizing Maps. In Proceedings of the TRECVID Workshop on Video Summarization, TVS’07 (pp. 45-49).

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