Content-based description of images for retrieval in large databases: MUVIS

European Signal Processing Conference

Volumn 2015-March, Issue March, 2000, Pages

  Trimeche, Mejdi ^a   Cheich, Faouzi Alaya ^a   Gabbouj, Moncef ^a   Cramariuc, Bogdan ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

color; Content; features; Indexing; Query; Retrieval; shape; texture

Indexed keywords

COLOR; INDEXING (OF INFORMATION); SIGNAL PROCESSING; TEXTURES;

CONTENT; FEATURES; QUERY; RETRIEVAL; SHAPE;

SEARCH ENGINES;

EID: 84937053581     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. F. Alaya Cheikh, B. Cramariuc and M. Gabbouj, "MUVIS: A System for Content-Based Indexing and Retrieval in Large Image Databases", Proc. VLBV'98 workshop, pp. 41-44, Urbana, USA, October 1998.
2. F. Mokhtarian, S. Abbasi and J. Kittler, "Efficient and Robust Retrieval by Shape Content through Curvature Scale Space, Proc. First Int. Workshop on Image Databases and Multimedia search, pp. 3542, Amsterdam, Netherlands, August 1996.
3. V. Ng and et. al. "Adaptive Histogram Indexing", SPIE, vol. 2606: 202-211.
4. P. Kerminen and M. Gabbouj, "Image Retrieval Based on Color Matching", Proc. FINSIG'99, Oulun yliopistopaino, pp. 89-93, 1999.
5. A. Quddus, F. Alaya Cheikh and M. Gabbouj, "Wavelet-Based Multi-level Object Retrieval In Contour Images", Proc. VLBV'99 Workshop, Kyoto, Japan, October, 1999.