Automatic similarity learning using SOTM for CBIR of the WT/VQ coded images

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 749-752

  Muneesawang, P ^a   Guan, L ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE CODING; INFORMATION RETRIEVAL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS; STANDARDS; VECTOR QUANTIZATION; WAVELET TRANSFORMS;

IMAGE RETRIEVAL SYSTEMS; RELEVANCE FEEDBACK METHOD; SELF ORGANIZING TREE MAP; UNSUPERVISED LEARNING NETWORK;

CONTENT BASED RETRIEVAL;

EID: 0035171957     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Content-based image retrieval with relevance feedback in MARS
2. PicToSeek: Combining color and shape invariant features for image retrieval
3. A non-linear RBF model for interactive content-based image retrieval
4. Self-organizing tree map for eliminating impulse noise with random intensity distributions
5. Image compression based on fuzzy algorithms for learning vector quantization and wavelet image decomposition
6. Multiresolution-histogram indexing for wavelet-compressed images and relevant feedback learning for image retrieval
7. Texture features for browsing and retrieval of image data