A generalized content-based image retrieval system

Proceedings of the ACM Symposium on Applied Computing

Volumn 02-February-1998, Issue , 1998, Pages 460-461

  Ma, Nina L ^a   Jin, Jesse S ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Browsing; Content based image retrieval; Indexing; Multimedia database

Indexed keywords

CONTENT BASED RETRIEVAL; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; QUERY PROCESSING; SEARCH ENGINES;

BROWSING; COMPLEX QUERIES; CONTENT BASED IMAGE RETRIEVAL; CONTENT BASED IMAGE RETRIEVAL SYSTEMS; INDEXING AND RETRIEVAL; MULTIMEDIA DATABASE; QUERY-BY EXAMPLE; SHAPE AND TEXTURES;

IMAGE RETRIEVAL;

EID: 85002062830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/330560.330859     Document Type: Conference Paper

References (6)

1. Jain, R. 1993: NSF workshop on visual information management systems, SIGMOD Record. 22, 57-75.
2. Jin, J. S.; Kumiawati, R. & Xu, G. 1997: Using browsing to improve content-based image retrieval. Image and Vision Computing, to appear
3. Kurniawati, R., Jin, J. S. & Shepherd, J.A. 1997: The SS∗-tree: An improved index structure for similarity searches in a high-dimensional feature space. In Proceeding of the SPIE.-Storage and Retrieval for Image and Video Databases V, volume 3022, San Jose. CA.
4. Marroquin, J. L. & Girosi, F. 1993: Some extensions of the K-means algorithm for image segmentation and pattern classification. Artificial Intelligence Laboratory. MIT, CßCL Paper 0971
5. Munagh, P. & Heck, A. 1987: Multivariate Data Analysis, D. Reide Publishing Company, 13-29.
6. Wan. W. & Fraser, D. M2dSOMAP 1993: Clustering and classification of RS imagery by combining multiple self-organising maps and associative memory. In Proceedings, IJCNN-93, Vol 3. 2464-2467.