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LEADER 00000dam  2200493M  4500 
001    907012236 
003    OCoLC 
005    20150501061717.5 
006    m        d         
007    cr nnu|||mamaa 
008    150331s2015    gw      o     000 0 eng d 
020    9783319149974 (print) 
020    3319149970 (print) 
020    9783319149981 (eISBN) 
020    3319149989 (eISBN) 
024 7  10.1007/978-3-319-14998-1|2doi 
035    (OCoLC)907012236 
040    SzZUIDS|bger|erda|cCHVBK|dOCLCO|dDEBBG 
049    OH1A 
050  4 QA76.575 
082 04 006.7|223 
245 00 Multimedia Data Mining and Analytics :|bDisruptive 
       Innovation /|cedited by Aaron K. Baughman, Jiang Gao, Jia-
       Yu Pan, Valery A. Petrushin. 
264  1 Cham :|bSpringer International Publishing,|c2015. 
300    Online-Ressource 
336    text|btxt|2rdacontent 
337    unspecified|bz|2rdamedia 
338    Elektronische Daten |2local 
506    Available to OhioLINK libraries. 
520    This authoritative text/reference provides fresh insights 
       into the cutting edge of multimedia data mining, 
       reflecting how the research focus has shifted towards 
       networked social communities, mobile devices and sensors. 
       Presenting a detailed exploration into the progression of 
       the field, the book describes how the history of 
       multimedia data processing can be viewed as a sequence of 
       disruptive innovations. Across the chapters, the 
       discussion covers the practical frameworks, libraries, and
       open source software that enable the development of ground
       -breaking research into practical applications. Topics and
       features: · Contains contributions from an international 
       selection of pre-eminent authorities in the field · 
       Reviews how disruptive innovations in mobile, social, 
       cognitive, cloud and organic based computing impacts upon 
       the development of multimedia data mining · Provides 
       practical details on implementing the technology for 
       solving real-world multimedia problems · Includes 
       chapters devoted to privacy issues in multimedia social 
       environments, and large-scale biometric data processing ·
       Covers content and concept based multimedia search, and 
       advanced algorithms for multimedia data representation, 
       processing and visualization The illuminating viewpoints 
       presented in this comprehensive volume will be of great 
       interest to researchers and graduate students involved in 
       machine learning and pattern recognition, as well as to 
       professional multimedia analysts and software developers. 
650  0 Computer science.|0
650  0 Data mining.|0
650  0 Multimedia systems.|0
650  0 Artificial intelligence.|0
650  0 Computer vision.|0
700 1  Baughman, Aaron K. 
700 1  Gao, Jiang.|0
700 1  Pan, Jia-Yu. 
700 1  Petrushin, V. A.|q(Valeriĭ Aleksandrovich)|0http:// 
710 2  Ohio Library and Information Network.|0
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