| 书目名称 | Understanding-Oriented Multimedia Content Analysis |
| 编辑 | Zechao Li |
| 视频video | |
| 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. |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 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 |
| 关键词 | 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 |
发表于 2025-3-21 19:49:03
