Pipelining localized semantic features for fine-grained action recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8692 LNCS, Issue PART 4, 2014, Pages 481-496

  Zhou, Yang ^a   Ni, Bingbing ^b   Yan, Shuicheng ^c   Moulin, Pierre ^d   Tian, Qi ^a  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

^b ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS); FEATURE EXTRACTION; PIPELINES; COMPUTER VISION; SEMANTICS;

ACTION CLASSIFICATIONS; ACTION REPRESENTATIONS; GEOMETRIC INFORMATION; JOINT DISTRIBUTIONS; LOCAL MOTION FEATURES; MULTIPLE KERNEL LEARNING; OBJECT MANIPULATION; SEMANTIC INFORMATION;

SEMANTICS; CLASSIFICATION (OF INFORMATION);

EID: 84906501135     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10593-2_32     Document Type: Conference Paper

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