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Více informací o knize Content-Based Image Retrieval

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Applied mathematics

• Plný název: Content-Based Image Retrieval
• Podnázev: Ideas, Influences, and Current Trends
• Autor: Vipin Tyagi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 378
• EAN: 9789811067587
• ISBN: 9811067589
• ID: 18181987
• Nakladatelství: Springer Verlag, Singapore
• Hmotnost: 958 g
• Rozměry: 235 × 155 × 23 mm
• Datum vydání: 25. January 2018

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