| 书目名称 | Recent Advances in Intelligent Image Search and Video Retrieval | | 编辑 | Chengjun Liu | | 视频video | | | 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: | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 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 | | 关键词 | Intelligent Techniques; Image Search, Video Retrieval; Smart City; Internet of Things; Scale-Invariant F | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-52081-0 | | isbn_softcover | 978-3-319-84816-7 | | isbn_ebook | 978-3-319-52081-0Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 16:21:31
