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Titlebook: Exploration of Visual Data; Xiang Sean Zhou,Yong Rui,Thomas S. Huang Book 2003 Springer Science+Business Media New York 2003 Boosting.Comp

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发表于 2025-3-21 16:07:21 | 显示全部楼层 |阅读模式
书目名称Exploration of Visual Data
编辑Xiang Sean Zhou,Yong Rui,Thomas S. Huang
视频video
丛书名称The International Series in Video Computing
图书封面Titlebook: Exploration of Visual Data;  Xiang Sean Zhou,Yong Rui,Thomas S. Huang Book 2003 Springer Science+Business Media New York 2003 Boosting.Comp
描述.Exploration of Visual Data. presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines...The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data...Exploration of Visual Data. provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished..
出版日期Book 2003
关键词Boosting; Computer Vision; Image segmentation; Information; Layout; Multimedia; Textur; algorithms; classifi
版次1
doihttps://doi.org/10.1007/978-1-4615-0497-9
isbn_softcover978-1-4613-5106-1
isbn_ebook978-1-4615-0497-9Series ISSN 1571-5205
issn_series 1571-5205
copyrightSpringer Science+Business Media New York 2003
The information of publication is updating

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发表于 2025-3-21 22:27:28 | 显示全部楼层
1571-5205 s of multimedia data...Exploration of Visual Data. provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished..978-1-4613-5106-1978-1-4615-0497-9Series ISSN 1571-5205
发表于 2025-3-22 01:11:11 | 显示全部楼层
https://doi.org/10.1007/978-3-662-32910-8ity matrix, specific to the dataset as well as the users, can be applied for keyword semantic grouping, thesaurus construction, and soft query expansion during intelligent image retrieval with user-in-the-loop.
发表于 2025-3-22 07:59:00 | 显示全部楼层
Toward Unification of Keywords and Low-Level Contents,ity matrix, specific to the dataset as well as the users, can be applied for keyword semantic grouping, thesaurus construction, and soft query expansion during intelligent image retrieval with user-in-the-loop.
发表于 2025-3-22 09:37:25 | 显示全部楼层
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Exploration of Visual Data978-1-4615-0497-9Series ISSN 1571-5205
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,Die Konsolidierungen im Überblick, Given the channel and buffer limits, we wish to obtain a set of sampled frames that is not only feasible (i.e., streamable) but also optimal in terms of maximal information flow (given that the semantic information contents of each frame can be quantified in a way either automatically or manually).
发表于 2025-3-23 09:01:03 | 显示全部楼层
https://doi.org/10.1007/978-3-658-40715-5(or .). Two issues arise: one is the effectiveness of the representation, i.e., to what extent can the meaningful contents of the media be represented in these vectors? The other is the selection of a . during the retrieval process. This is an important issue because the similarity metric dynamicall
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