Artificial intelligence for maximizing content based image retrieval

✍ Scribed by IGI Global.; Ma, Zongmin (ed.)

• Publisher: IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
• Year: 2009
• Tongue: English
• Leaves: 451
• Category: Library

✦ Synopsis

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.;"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.;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 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.;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.

✦ Table of Contents

Front cover......Page 1
Title......Page 2
Copyright......Page 3
Table of Contents......Page 4
Detailed Table of Contents......Page 7
Preface......Page 15
Acknowledgment......Page 20
Section I......Page 21
Chapter I Genetic Algorithms and Other Approaches in Image Feature Extraction and Representation......Page 22
Chapter II Improving Image Retrieval by Clustering......Page 41
Chapter III Review on Texture Feature Extraction and Desrciption Methods in Content-Based Medical Image Retrieval......Page 65
Chapter IV Content-Based Image Classification and Retrieval: A Rule-Based System Using Rough Sets Framework......Page 89
Section II......Page 105
Chapter V Content Based Image Retrieval Using Active-Nets......Page 106
Chapter VI Content-Based Image Retrieval: From the Object Detection/Recognition Point of View......Page 136
Chapter VII Making Image Retrieval and Classification More Accurate Using Time Series and Learned Constraints......Page 166
Chapter VIII A Machine Learning-Based Model for Content-Based Image Retrieval......Page 192
Chapter IX Solving the Small and Asymmetric Sampling Problem in the Context of Image Retrieval......Page 213
Chapter X Content Analysis from User’s Relevance Feedback for Content-Based Image Retrieval......Page 237
Chapter XI Preference Extraction in Image Retrieval......Page 256
Chapter XII Personalized Content-Based Image Retrieval......Page 282
Section IV......Page 309
Chapter XIII A Semantics Sensitive Framework of Organization and Retrieval for Multimedia Databases......Page 310
Chapter XIV Content-Based Retrieval for Mammograms......Page 336
Chapter XV Event Detection, Query, and Retrieval for Video Surveillance......Page 363
Chapter XVI MMIR: An Advanced Content-Based Image Retrieval System Using a Hierarchical Learning Framework......Page 392
Compilation of References......Page 409
About the Contributors......Page 442
Index......Page 449

✦ Subjects

Artificial intelligence;Image processing