VideoMule: A consensus learning approach to multi-label classification from noisy user-generated videos

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 721-724

  Ramachandran, Chandrasekar ^a   Malik, Rahul ^a   Jin, Xin ^a   Gao, Jing ^a   Nahrstedt, Klara ^a   Han, Jiawei ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Multimodal information processing; Video classification

Indexed keywords

CLASSIFICATION AND CLUSTERING; CONTENT ANALYSIS; INDIVIDUAL LEARNING; LEARNING APPROACH; MULTI-LABEL; MULTI-MODAL; MULTI-MODAL INFORMATION; MULTIMEDIA CONTENTS; USER-GENERATED CONTENT; USER-GENERATED VIDEO; VIDEO CLASSIFICATION; VIDEO FEATURES;

CLASSIFICATION (OF INFORMATION); DATA PROCESSING; EDUCATION; HEURISTIC ALGORITHMS; LABELS; LEARNING ALGORITHMS; LEARNING SYSTEMS; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; TECHNICAL PRESENTATIONS;

CLUSTERING ALGORITHMS;

EID: 72449149179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631397     Document Type: Conference Paper

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