02957nam a2200325 a 4500 vtls000047734 KUKTEM 20251117141421.0 m d cr un ---uuuua 100804t2009 paua fsb 001 0 eng d 9781605661759 (e-book) 9781605661742 201107132340 VLOAD 201104221152 Fida 201104201100 Fida 201008101204 ida 201008041124 ida UMP Q335 .A78 2009 Artificial intelligence for maximizing content based image retrieval [electronic resource] / Zongmin Ma, editor Hershey, Pa. : Information Science Reference, c2009 Includes bibliographical references and index Genetic algorithms and other approaches in image feature extraction and representation -- Improving image retrieval by clustering -- Review on texture feature extraction and description methods in content-based medical image retrieval -- Content-based image classification and retrieval: a rule-based system using rough sets framework -- Content based image retrieval using active-nets -- Content-based image retrieval: from the object detection/recognition point of view -- Making image retrieval and classification more accurate using time series and learned constraints -- A machine learning-based model for content-based image retrieval -- Solving the small and asymmetric sampling problem in the context of image retrieval -- Content analysis from user's relevance feedback for content-based image retrieval -- Preference extraction in image retrieval -- Personalized content-based image retrieval -- A semantics sensitive framework of organization and retrieval for multimedia databases -- Content-based retrieval for mammograms -- Event detection, query, and retrieval for video surveillance -- MMIR: an advanced content-based image retrieval system using a hierarchical learning framework. Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field Electronic reproduction. Farmington Hills, Mi : Gale. Available via World Wide Web Original: xix, 430 p. : ill. ; 29 cm. Mode of access: Internet Artificial intelligence Image processing Ma, Zongmin http://find.galegroup.com.libraryumpsa.idm.oclc.org/openurl/openurl?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&req_dat=info:sid/gale:ugnid:myump&res_id=info:sid/gale:GVRL&ctx_enc=info:ofi:enc:UTF-8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft_id=info:sid/gale:bmcode:recid/2RAW Available for Universiti Malaysia Pahang via Gale Virtual Reference Library. Click here to access 0 0 0 1 10000 10000 2019-09-04 0 Q335 .A78 2009 0000049275 2019-09-04 00:00:00 1 2019-09-04 EBOOK VIRTUA40 16537 16543 VTLSSORT0060*0070*0080*0200*0201*0400*0900*2450*2600*5040*5050*5200*5330*5340*5380*6500*6501*7000*8560*9991