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Artificial intelligence for maximizing content based image retrieval

"This book provide state of the art information to those involved in the study, use, design and development of advanced and emerging AI technologies"--Provided by publisher.

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Ma, Zongmin, 1965-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Subjects:
Artificial intelligence.
Image processing.
Active-nets
Clustering
Content-based image classification and retrieval
Content-based image retrieval
Content-based medical image retrieval
Image feature extraction and representation
Image retrieval
Machine learning-based model
Object detection/recognition
Personalized content-based image retrieval
Preference extraction in image retrieval
Rough sets framework
Texture feature extraction
Time series and learned constraints
Online Access:View fulltext via EzAccess
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020 # # |a 9781605661759 (ebook) 
020 # # |a 1605661759 (ebook) 
020 # # |z 9781605661742 (hardcover) 
020 # # |z 1605661740 (hardcover) 
020 # # |z 9781616925635 (pbk.) 
024 7 # |a 10.4018/978-1-60566-174-2  |2 doi 
035 # # |a (CaBNVSL)gtp00540437 
035 # # |a (OCoLC)430984034 
040 # # |a CaBNVSL  |c CaBNVSL  |d CaBNVSL 
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245 0 0 |a Artificial intelligence for maximizing content based image retrieval  |c Zongmin Ma [editor].  |h [electronic resource] / 
260 # # |a Hershey, Pa. :  |b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),  |c c2009. 
300 # # |a electronic texts (xix, 430 p. : ill.) :  |b digital files. 
504 # # |a Includes bibliographical references (p. 388-420) and index. 
505 0 # |a Section I -- Chapter I. Genetic algorithms and other approaches in image feature extraction and representation / Danilo Avola, Fernando Ferri, Patrizia Grifoni -- Chapter II. Improving image retrieval by clustering / Dany Gebara, Reda Alhajj -- Chapter III. Review on texture feature extraction and description methods in content-based medical image retrieval / Gang Zhang, Z. M. Ma, Li Yan, Ji-feng Zhu -- Chapter IV. Content-based image classification and retrieval: a rule-based system using rough sets framework / Jafar M. Ali -- 
505 0 # |a Section II -- Chapter V. Content based image retrieval using active-nets / David García Pérez, Antonio Mosquera, Stefano Berretti, Alberto Del Bimbo -- Chapter VI. Content-based image retrieval: from the object detection/recognition point of view / Ming Zhang, Reda Alhajj -- Chapter VII. Making image retrieval and classification more accurate using time series and learned constraints / Chotirat "Ann" Ratanamahatana, Eamonn Keogh, Vit Niennattrakul -- Chapter VIII. A machine learning-based model for content-based image retrieval / Hakim Hacid, Abdelkader Djamel Zighed -- 
505 0 # |a Section III -- Chapter IX. Solving the small and asymmetric sampling problem in the context of image retrieval / Ruofei Zhang, Zhongfei (Mark) Zhang -- Chapter X. Content analysis from user's relevance feedback for content-based image retrieval / Chia-Hung Wei, Chang-Tsun Li -- Chapter XI. Preference extraction in image retrieval / Pawel Rotter, Andrzej M.J. Skulimowski -- Chapter XII. Personalized content-based image retrieval / Iker Gondra -- 
505 0 # |a Section IV -- Chapter XIII. A semantics sensitive framework of organization and retrieval for multimedia databases / Zhiping Shi, Qingyong Li, Qing He, Zhongzhi Shi -- Chapter XIV. Content-based retrieval for mammograms / Chia-Hung Wei, Chang-Tsun Li, Yue Li -- Chapter XV. Event detection, query, and retrieval for video surveillance / Ying-li Tian, Arun Hampapur, Lisa Brown, Rogerio Feris, Max Lu, Andrew Senior, Chiao-fe Shu, Yun Zhai -- Chapter XVI. MMIR: an advanced content-based image retrieval system using a hierarchical learning framework / Min Chen, Shu-Ching Chen -- Compilation of references -- About the contributors -- Index. 
506 # # |a Restricted to subscribers or individual electronic text purchasers. 
520 3 # |a "This book provide state of the art information to those involved in the study, use, design and development of advanced and emerging AI technologies"--Provided by publisher. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
588 # # |a Title from PDF t.p. (viewed on May 25, 2010). 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Image processing. 
653 # # |a Active-nets 
653 # # |a Clustering 
653 # # |a Content-based image classification and retrieval 
653 # # |a Content-based image retrieval 
653 # # |a Content-based medical image retrieval 
653 # # |a Image feature extraction and representation 
653 # # |a Image retrieval 
653 # # |a Machine learning-based model 
653 # # |a Object detection/recognition 
653 # # |a Personalized content-based image retrieval 
653 # # |a Preference extraction in image retrieval 
653 # # |a Rough sets framework 
653 # # |a Texture feature extraction 
653 # # |a Time series and learned constraints 
700 1 # |a Ma, Zongmin,  |d 1965- 
710 2 # |a IGI Global. 
776 0 # |c (Original)  |w (DLC) 2008022541  |z 9781605661742  |z 1605661740 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-174-2  |z View fulltext via EzAccess 

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