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Content-Based Image Retrieval

Ideas, Influences, and Current Trends

Vipin Tyagi

Idioma

Inglés

Libro Tapa dura

Código Libristo: 18181987

Editores Springer Verlag, Singapore, enero 2018

The book describes several techniques used to bridge the semantic gap and reflects on recent advance... Descripción completa

Código Libristo: 18181987

276 b

112.79 €

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Política de devolución de 30 días

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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 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.