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Titlebook: Content-Based Image Retrieval; Ideas, Influences, a Vipin Tyagi Book 2017 Springer Nature Singapore Pte Ltd. 2017 Image Retreival.Image Sea

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发表于 2025-3-21 18:10:53 | 显示全部楼层 |阅读模式
书目名称Content-Based Image Retrieval
副标题Ideas, Influences, a
编辑Vipin Tyagi
视频videohttp://file.papertrans.cn/237/236812/236812.mp4
概述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 r
图书封面Titlebook: Content-Based Image Retrieval; Ideas, Influences, a Vipin Tyagi Book 2017 Springer Nature Singapore Pte Ltd. 2017 Image Retreival.Image Sea
描述.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..
出版日期Book 2017
关键词Image Retreival; Image Search; Computer Vision; TBIR; CBIR
版次1
doihttps://doi.org/10.1007/978-981-10-6759-4
isbn_softcover978-981-13-4944-7
isbn_ebook978-981-10-6759-4
copyrightSpringer Nature Singapore Pte Ltd. 2017
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发表于 2025-3-21 23:30:22 | 显示全部楼层
Content-Based Image Retrieval Techniques: A Review,the search for the relevant information from image and video databases has become more challenging. To get accurate retrieval results is still an unsolved problem and an active research area. Content-based image retrieval (CBIR) is a process in which for a given query image, similar images are retri
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Region-Based Image Retrieval,roduction to content-based image retrieval according to region-based similarity known as region-based image retrieval (RBIR). Regions of interest from an image can be selected automatically by the system or can be specified by the user. It increases the accuracy of the retrieval results as regions o
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Similarity Measures and Performance Evaluation,easures indicate that how two images are matching to each other. Several similarity measures for retrieval have been developed by various researchers. In this chapter, some commonly used similarity measures are described. After development of a retrieval system, it is necessary to check performance
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MPEG-7: Multimedia Content Description Standard,edia content using XML. MPEG-7 allows interoperable indexing, searching, and retrieval of video, images, audio, and other forms of multimedia data. In this chapter, the description tools standardized by MPEG-7 are introduced.
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Color Feature,superior to the single-dimensional gray values of images. Color can be retrieved easily from images without any complex preprocessing. Color feature is robust to background complication and invariant of image size and orientation of the image. There are many color spaces designed for different syste
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