TubeTagger- YouTube-based concept detection

ICDM Workshops 2009 - IEEE International Conference on Data Mining

Volumn , Issue , 2009, Pages 190-195

  Ulges, Adrian ^a   Koch, Markus ^a   Borth, Damian ^b   Breuel, Thomas M ^b  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b University of Koblenz Landau   (Germany)

Author keywords

Image databases; Information retrieval; Pattern recognition

Indexed keywords

CONCEPT DETECTION; CONCEPT LEARNING; CONCEPT-BASED; DATA SETS; DIFFERENT DOMAINS; IMAGE DATABASE; IMAGE DATABASES; INFORMATION SOURCES; MANUAL INDEXING; QUANTITATIVE STUDY; SEMANTIC CONCEPT; STATISTICAL MODELS; VIDEO RETRIEVAL SYSTEM; VIDEO SEARCH; VISUAL LEARNING; WEB VIDEO; YOUTUBE;

INFORMATION RETRIEVAL; LOCOMOTIVES; MULTIMEDIA SYSTEMS; PATTERN RECOGNITION; RAILROAD CARS; SEMANTICS; TECHNICAL PRESENTATIONS;

DETECTORS;

EID: 77951155717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.41     Document Type: Conference Paper

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