Perceptual consistency improves image retrieval performance

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue , 2001, Pages 434-435

  Long, H ^a   Leow, W K ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL METHODS; FEATURE EXTRACTION; FEEDBACK; MATHEMATICAL MODELS; TEXTURES;

FEEDBACK MATRICES;

IMAGE RETRIEVAL;

EID: 0034795620     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (9)

1. Invariant and perceptually consistent texture mapping for content-based image retrieval
2. Perceptual texture space improves perceptual consistency of computational features
3. Texture features and learning similarity
4. Interactive learning using a "society of models"
5. Perceptually based metrics for the evaluation of textural image retrieval methods
6. Optimizing learning image retrieval
7. Content-based image retrieval with relevance feedback in MARS
8. Similarity measures