Unsupervised discovery of visual object class hierarchies

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Sivic, Josef ^a   Russell, Bryan C ^a   Zisserman, Andrew ^a,b   Freeman, William T ^c   Efros, Alexei A ^a,d  

^a INRIA   (France)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS HIERARCHIES; DATA SETS; HIERARCHICAL METHODS; HIERARCHICAL STRUCTURING; IMAGE COLLECTIONS; IMAGE REGIONS; LATENT DIRICHLET ALLOCATION; MULTI LAYERING; MULTIPLE SEGMENTATIONS; OBJECT CLASSIFICATION; OBJECT HIERARCHIES; VISUAL APPEARANCES; VISUAL DATA; VISUAL ELEMENTS; VISUAL OBJECTS; VISUAL WORLD;

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FEATURE EXTRACTION; FOOD PROCESSING; IMAGE ENHANCEMENT; IMAGE PROCESSING; INFORMATION THEORY; PATTERN RECOGNITION;

ARTIFICIAL INTELLIGENCE;

EID: 51949094562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587622     Document Type: Conference Paper

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