Artificial intelligence for maximizing content based image retrieval

• 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

"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.

Table of Contents:

• 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
• 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
• 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
• 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.