Title :
A signal/semantic framework for image retrieval
Author :
Mulhem, Philippe ; Chiaramella, Yves ; Belkhatir, Mohammed
Author_Institution :
MRIM-IMAG/CNRS
Abstract :
The article presents an approach for integrating perceptual signal features (i.e. color and texture) and semantic information within an integrated architecture for image retrieval. It relies on an expressive knowledge representation formalism handling high-level image descriptions and a full-text query framework. It consequently brings the level of image retrieval closer to users´ needs by translating low-level signal features to high-level data and coupling it with semantics within index and query structures
Keywords :
full-text databases; image retrieval; knowledge representation; expressive knowledge representation formalism; full-text query framework; high-level data; high-level image descriptions; image retrieval; integrated architecture; low-level signal features; perceptual signal features; query structures; semantic information; signal/semantic integration; Character generation; Color; Content based retrieval; Image retrieval; Indexing; Information retrieval; Knowledge representation; Labeling; Lattices; Organizing; image retrieval; signal/semantic integration;
Conference_Titel :
Digital Libraries, 2005. JCDL '05. Proceedings of the 5th ACM/IEEE-CS Joint Conference on
Conference_Location :
Denver, CO
Print_ISBN :
1-58113-876-8
DOI :
10.1145/1065385.1065471
