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Titlebook: Recent Advances in Intelligent Image Search and Video Retrieval; Chengjun Liu Conference proceedings 2017 Springer International Publishin

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發(fā)表于 2025-3-21 16:21:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Advances in Intelligent Image Search and Video Retrieval
編輯Chengjun Liu
視頻videohttp://file.papertrans.cn/823/822794/822794.mp4
概述Presents advanced pattern recognition and machine learning methods using sparse representation and.Introduces innovative similarity.Addresses both theory and practice.Includes supplementary material:
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Recent Advances in Intelligent Image Search and Video Retrieval; Chengjun Liu Conference proceedings 2017 Springer International Publishin
描述.This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring.?.Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.This book initially reviews the major feature representation and extraction methods and effective learning and reco
出版日期Conference proceedings 2017
關(guān)鍵詞Intelligent Techniques; Image Search, Video Retrieval; Smart City; Internet of Things; Scale-Invariant F
版次1
doihttps://doi.org/10.1007/978-3-319-52081-0
isbn_softcover978-3-319-84816-7
isbn_ebook978-3-319-52081-0Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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