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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書目名稱Content-Based Image Retrieval影響因子(影響力)




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書目名稱Content-Based Image Retrieval網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Content-Based Image Retrieval被引頻次




書目名稱Content-Based Image Retrieval被引頻次學(xué)科排名




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書目名稱Content-Based Image Retrieval年度引用學(xué)科排名




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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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