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.
| ISBN: | 9789811036880 |
| Publication date: | 6th June 2017 |
| Author: | Zechao Li |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 156 pages |
| Series: | Springer Theses |
| Genres: |
Graphical and digital media applications Data warehousing Information retrieval Human–computer interaction |
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.
Understanding-Oriented Multimedia Content Analysis features in the following genres: Graphical and digital media applications, Data warehousing, Information retrieval, Human–computer interaction
Understanding-Oriented Multimedia Content Analysis is available in Hardback
Understanding-Oriented Multimedia Content Analysis was written by Zechao Li and published by Springer an imprint of Springer Nature Singapore
Understanding-Oriented Multimedia Content Analysis has 156 pages
Yes it is part of Springer Theses series