Content-Based Image Retrieval
Ideas, Influences, and Current Trends
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Beschreibung
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.
Covers state-of-the-art CBIR techniques
Provides a solid foundation for those working to advance the theory and practice of image retrieval
Includes information about various databases used in image retrieval research
Explains the key concepts of image low-level features giving some techniques
Covers state-of-the-art CBIR techniques Provides a solid foundation for those working to advance the theory and practice of image retrieval Includes information about various databases used in image retrieval research Explains the key concepts of image low-level features giving some techniques
Autor*in
Vipin Tyagi
Themen in »Content-Based Image Retrieval«
Image Retreival Image Search Computer Vision TBIR CBIR