Multi-class Labeling improved by Random Forest for automatic image annotation

Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Volumn , Issue , 2011, Pages 202-205

  Fukui, Motofumi ^a   Kato, Noriji ^a   Qi, Wenyuan ^a  

^a Fuji Xerox Research and Technology Group   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; GAUSSIAN MIXTURE MODEL; GENERATIVE MODEL; KEY TECHNOLOGIES; LOCAL IMAGE FEATURES; MULTI-CLASS; MULTIPLE LABELS; RANDOM FORESTS; TRAINING TIME;

COMPUTER VISION; DECISION TREES; IMAGE ANALYSIS; SEMANTICS;

IMAGE RETRIEVAL;

EID: 84867872957     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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