Understanding-Oriented Multimedia Content Analysis

✍ Scribed by Zechao Li (auth.)

Publisher: Springer Singapore
Year: 2017
Tongue: English
Leaves: 166
Series: Springer Theses
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xix
Introduction....Pages 1-10
Understanding-Oriented Unsupervised Feature Selection....Pages 11-46
Understanding-Oriented Feature Learning....Pages 47-73
Personalized Tag Recommendation....Pages 75-99
Understanding-Oriented Multimedia News Retrieval....Pages 101-129
Understanding-Oriented Multimedia News Summarization....Pages 131-153
Conclusion....Pages 155-156

✦ Subjects

Multimedia Information Systems;Information Storage and Retrieval;User Interfaces and Human Computer Interaction

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