| 書目名稱 | Understanding-Oriented Multimedia Content Analysis |
| 編輯 | Zechao Li |
| 視頻video | http://file.papertrans.cn/942/941839/941839.mp4 |
| 概述 | Nominated by the University of Chinese Academy of Sciences and China Computer Federation as an outstanding PhD thesis.Proposes an novel understanding-oriented approach for multimedia content analysis. |
| 叢書名稱 | Springer Theses |
| 圖書封面 |  |
| 描述 | This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It integrates the visual understanding and learning models into a unified framework, within which the visual understanding guides the model learning while the learned models improve the visual understanding. More specifically, it discusses multimedia content representations and analysis including feature selection, feature extraction, image tagging, user-oriented tag recommendation and understanding-oriented multimedia applications. The book was nominated?by the University of Chinese Academy of Sciences and China Computer Federation as an outstanding PhD thesis.?By providing the fundamental technologies and state-of-the-art methods, it is a valuable resource for graduate students and researchers working in the field computer vision and machine learning. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Multimedia Analysis and Understanding; Unsupervised Feature Selection; Feature Learning; Subspace Learn |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-3689-7 |
| isbn_softcover | 978-981-10-9941-0 |
| isbn_ebook | 978-981-10-3689-7Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer Nature Singapore Pte Ltd. 2017 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2026-1-20 12:25
發(fā)表于 2025-3-21 19:49:03
