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Titlebook: Computational Visual Media; First International Shi-Min Hu,Ralph R. Martin Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2

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發(fā)表于 2025-3-21 17:57:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Visual Media
副標(biāo)題First International
編輯Shi-Min Hu,Ralph R. Martin
視頻videohttp://file.papertrans.cn/234/233215/233215.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Visual Media; First International  Shi-Min Hu,Ralph R. Martin Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2
描述This book constitutes the refereed proceedings of CVM 2012, the First International Conference on Computational Visual Media, held in Beijing, China, in November 2012. .The 33 revised full papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on image processing I and II, geometric processing, saliency, recognition, perception and learning, shape analysis, media retrieval, and capture, rendering and visualization.
出版日期Conference proceedings 2012
關(guān)鍵詞combinatorial maps; geometric verification; image recognition; post-processing; virtual reality; algorith
版次1
doihttps://doi.org/10.1007/978-3-642-34263-9
isbn_softcover978-3-642-34262-2
isbn_ebook978-3-642-34263-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

書目名稱Computational Visual Media影響因子(影響力)




書目名稱Computational Visual Media影響因子(影響力)學(xué)科排名




書目名稱Computational Visual Media網(wǎng)絡(luò)公開度




書目名稱Computational Visual Media網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Visual Media被引頻次




書目名稱Computational Visual Media被引頻次學(xué)科排名




書目名稱Computational Visual Media年度引用




書目名稱Computational Visual Media年度引用學(xué)科排名




書目名稱Computational Visual Media讀者反饋




書目名稱Computational Visual Media讀者反饋學(xué)科排名




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https://doi.org/10.1007/978-0-387-75146-7 combining the Public Goods Game, our algorithm can efficiently solve the multi-label segmentation problem. Experiments on challenging datasets demonstrate that our algorithm outperforms the state-of-art. We believe that this algorithm can be extended to many other labeling problems.
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A Novel Customized Recompression Framework for Massive Internet Imagesompression. In this paper, we propose a novel framework to efficiently customize image recompression according to a variety of applications. And our new framework has been successfully applied to many commercial applications, such as web portals, e-commerce, online game and so on.
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A Game-Theoretical Approach to Image Segmentation combining the Public Goods Game, our algorithm can efficiently solve the multi-label segmentation problem. Experiments on challenging datasets demonstrate that our algorithm outperforms the state-of-art. We believe that this algorithm can be extended to many other labeling problems.
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0302-9743 viewed and selected from 81 submissions. The papers are organized in topical sections on image processing I and II, geometric processing, saliency, recognition, perception and learning, shape analysis, media retrieval, and capture, rendering and visualization.978-3-642-34262-2978-3-642-34263-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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