Title :
Automatic query generation for content-based image retrieval
Author :
Breiteneder, Christian ; Eidenberger, Horst
Author_Institution :
Inst. for Comput. Sci. & Bus. Inf., Wien Univ., Austria
Abstract :
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query images we refine a query model: a list of feature extraction functions with associated thresholds and weights. The subsystem aims at bridging the gap between a user´s high-level concepts and the low-level visual features employed and at supporting both, the casual user and the expert. The paper investigates and evaluates several approaches for this purpose within a CBIR system for coats of arms. A user may edit any entry of the query model in order to optimize retrieval results by iteration
Keywords :
content-based retrieval; feature extraction; query formulation; automatic query generation; coats of arms; content-based image retrieval; feature extraction functions; image similarity; iteration; low-level visual features; query images; query model; thresholds; user high-level concepts; weights; Arm; Computer science; Content based retrieval; Feature extraction; Image databases; Image retrieval; Informatics; Iterative methods; Mars; Waste materials;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871459
