What is included with this book?
Genetic Algorithms and Other Approaches in Image Feature Extraction and Representation | p. 1 |
Improving Image Retrieval by Clustering | p. 20 |
Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval | p. 44 |
Content-Based Image Classification and Retrieval: A Rule-Based System Using Rough Sets Framework | p. 68 |
Content Based Image Retrieval Using Active-Nets | p. 85 |
Content-Based Image Retrieval: From the Object Detection/Recognition Point of View | p. 115 |
Making Image Retrieval and Classification More Accurate Using Time Series and Learned Constraints | p. 145 |
A Machine Learning-Based Model for Content-Based Image Retrieval | p. 171 |
Solving the Small and Asymmetric Sampling Problem in the Context of Image Retrieval | p. 192 |
Content Analysis from User's Relevance Feedback for Content-Based Image Retrieval | p. 216 |
Preference Extraction in Image Retrieval | p. 235 |
Personalized Content-Based Image Retrieval | p. 261 |
A Semantics Sensitive Framework of Organization and Retrieval for Multimedia Databases | p. 289 |
Content-Based Retrieval for Mammograms | p. 315 |
Event Detection, Query, and Retrieval for Video Surveillance | p. 342 |
MMIR: An Advanced Content-Based Image Retrieval System Using a Hierarchical Learning Framework | p. 371 |
Compilation of References | p. 388 |
Index | p. 428 |
Table of Contents provided by Blackwell. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.