Can I read Content-Based Image Retrieval on EtoBox?

Content-Based Image Retrieval by Tyagi, Vipin is a scholarly article available to read on EtoBox.

What is Content-Based Image Retrieval about?

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.

Author

Tyagi, Vipin

Publisher

Springer Nature Singapore

Published

2017

Language

EN

ISBN

9789811067594