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Understanding-oriented multimedia co...

Li, Zechao.

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Understanding-oriented multimedia content analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding-oriented multimedia content analysis/ by Zechao Li.
作者:	Li, Zechao.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xix, 156 p. :ill., digital ;24 cm.
內容註:	Introduction -- Understanding-oriented Unsupervised Feature Selection -- Understanding-oriented Feature -- Personalized Tag Recommendation -- Understanding-oriented Multimedia News Retrieval -- Understanding-oriented Multimedia News Summarization -- Conclusion.
Contained By:	Springer eBooks
標題:	Multimedia systems. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-3689-7
ISBN:	9789811036897

Understanding-oriented multimedia content analysis
Li, Zechao.

Understanding-oriented multimedia content analysis[electronic resource] /by Zechao Li. - Singapore :Springer Singapore :2017. - xix, 156 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Understanding-oriented Unsupervised Feature Selection -- Understanding-oriented Feature -- Personalized Tag Recommendation -- Understanding-oriented Multimedia News Retrieval -- Understanding-oriented Multimedia News Summarization -- Conclusion.

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: 9789811036897

Standard No.: 10.1007/978-981-10-3689-7doiSubjects--Topical Terms:

517454
Multimedia systems.

LC Class. No.: QA76.575

Dewey Class. No.: 006.7

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