User-centric Social Multimedia Computing

This book presents the first paradigm of social multimedia computing completely from the user perspective. Different from traditional multimedia and web multimedia computing which are content-centric, social multimedia computing rises under the participatory Web2.0 and is essentially user-centric. T...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Sang, Jitao (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a User-centric Social Multimedia Computing  |h [electronic resource] /  |c by Jitao Sang. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XV, 108 p. 90 illus. in color.  |b online resource. 
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490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
505 0 |a 1. Introduction -- 2. User-perceptive Multimedia Content Analysis -- 3. User Modeling on Social Multimedia Activity -- 4. Personalized Multimedia Search -- 5. Cross-network Social Multimedia Computing -- 6. Conclusion -- A. Appendix. 
520 |a This book presents the first paradigm of social multimedia computing completely from the user perspective. Different from traditional multimedia and web multimedia computing which are content-centric, social multimedia computing rises under the participatory Web2.0 and is essentially user-centric. The goal of this book is to emphasize the user factor in facilitating effective solutions towards both multimedia content analysis and customized user services. 
650 0 |a Computer science. 
650 0 |a Information storage and retrieval. 
650 0 |a Multimedia information systems. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Pattern Recognition. 
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830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5053 
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