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160203 ||| eng |
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|a 9783319276717
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|a Tian, Qi
|e [editor]
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|a MultiMedia Modeling
|h Elektronische Ressource
|b 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I
|c edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu
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|a 1st ed. 2016
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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300 |
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|a XXIV, 927 p. 354 illus. in color
|b online resource
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653 |
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|a Multimedia systems
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|a Information Storage and Retrieval
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653 |
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|a Data mining
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|a Application software
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653 |
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|a Information storage and retrieval systems
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Multimedia Information Systems
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653 |
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|a Pattern recognition systems
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700 |
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|a Sebe, Nicu
|e [editor]
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700 |
1 |
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|a Qi, Guo-Jun
|e [editor]
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700 |
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|a Huet, Benoit
|e [editor]
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0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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|a 10.1007/978-3-319-27671-7
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|u https://doi.org/10.1007/978-3-319-27671-7?nosfx=y
|x Verlag
|3 Volltext
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|a 006.7
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|a The two-volume set LNCS 9516 and LNCS 9517 constitutes the refereed proceedings of the 22nd International Conference on Multimedia Modeling, MMM 2016, held in Miami, FL, USA, in January 2016. The 32 revised full papers and 52 poster papers presented were carefully reviewed and selected from 117 submissions. In addition 20 papers were accepted for five special sessions out of 38 submissions as well as 7 demonstrations (from 11 submissions) and 9 video showcase papers. The papers are organized in topical sections on video content analysis, social media analysis, object recognition and system, multimedia retrieval and ranking, multimedia representation, machine learning in multimedia, and interaction and mobile. The special sessions are: good practices in multimedia modeling; semantics discovery from multimedia big data; perception, aesthetics, and emotion in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia analytics
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