MultiMedia modeling : 21st International Conference, MMM 2015, Sydney, NSW, Australia, January 5-7, 2015, Proceedings. Xiangjian He [and 5 more] (eds.). Part I /

The two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 1...

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Bibliographic Details
Corporate Author: International Multimedia Modelling Conference Sydney, N.S.W.
Other Authors: He, Xiangjian (Editor)
Format: Ebook
Language:English
Published: Cham : Springer, [2014]
Series:Lecture notes in computer science ; 8935.
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI.
Subjects:
Online Access:Springer eBooks
Description
Summary:The two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 189 submissions. For the three special session, a total of 18 papers were accepted for MMM 2015. The three special sessions are Personal (Big) Data Modeling for Information Access and Retrieval, Social Geo-Media Analytics and Retrieval, and Image or video processing, semantic analysis and understanding. In addition, 9 demonstrations and 9 video showcase papers were accepted for MMM 2015. The accepted contributions included in these two volumes represent the state-of-the-art in multimedia modeling research and cover a diverse range of topics including: Image and Video Processing, Multimedia encoding and streaming, applications of multimedia modelling and 3D and augmented reality.
Item Description:Includes author index.
Physical Description:1 online resource (xxii, 586 pages) : illustrations.
ISBN:3319144448
9783319144443
3319144464
9783319144467
3319144456
9783319144450
ISSN:0302-9743 ;
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