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Content-Based Image Retrieval: Ideas, Influences, and Current Trends

✍ Scribed by Vipin Tyagi (auth.)


Publisher
Springer Singapore
Year
2017
Tongue
English
Leaves
399
Edition
1
Category
Library

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✦ Synopsis


The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies.

The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

✦ Table of Contents


Front Matter ....Pages i-xxxiv
Content-Based Image Retrieval: An Introduction (Vipin Tyagi)....Pages 1-27
Content-Based Image Retrieval Techniques: A Review (Vipin Tyagi)....Pages 29-48
Region-Based Image Retrieval (Vipin Tyagi)....Pages 49-62
Similarity Measures and Performance Evaluation (Vipin Tyagi)....Pages 63-83
MPEG-7: Multimedia Content Description Standard (Vipin Tyagi)....Pages 85-100
Shape Feature (Vipin Tyagi)....Pages 101-132
Color Feature (Vipin Tyagi)....Pages 133-159
Texture Feature (Vipin Tyagi)....Pages 161-182
Content-Based Image Retrieval Based on Relative Locations of Multiple Regions of Interest Using Selective Regions Matching (Vipin Tyagi)....Pages 183-203
Content-Based Image Retrieval Based on Location-Independent Regions of Interest (Vipin Tyagi)....Pages 205-225
Content-Based Image Retrieval of Texture Images Using Adaptive Tetrolet Transforms (Vipin Tyagi)....Pages 227-240
Content-Based Image Retrieval Using a Short Run Length Descriptor (Vipin Tyagi)....Pages 241-256
Content-Based Image Retrieval Using Integrated Color, Texture, and Shape Features (Vipin Tyagi)....Pages 257-271
Multistage Content-Based Image Retrieval (Vipin Tyagi)....Pages 273-293
Research Issues for Next Generation Content-Based Image Retrieval (Vipin Tyagi)....Pages 295-302
Back Matter ....Pages 303-378

✦ Subjects


Image Processing and Computer Vision


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