Content-Based Image Retrieval

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  • Content-Based Image Retrieval Book Detail

  • Author : Vipin Tyagi
  • Release Date : 2018-01-15
  • Publisher : Springer
  • Genre : Computers
  • Pages : 399
  • ISBN 13 : 9811067597
  • File Size : 50,50 MB

Content-Based Image Retrieval by Vipin Tyagi PDF Summary

Book Description: 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.

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Content-Based Image Retrieval

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The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents i

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Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discu

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Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image feature