Title :
CBIR with RF: Which technique for which image
Author :
Belattar, Khadidja ; Mostefai, Sihem
Author_Institution :
Comput. Sci. Dept., Constantine Univ. 2, Constantine, Algeria
Abstract :
In the current decade, we are witnessing a great interest in Content Based Image Retrieval (CBIR) together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the employment of diverse Relevance Feedback (RF) approaches in CBIR systems to capture image(s) of interest has emerged. However, the need to select a particular technique in a given application domain depends on the nature of images in the collection at hand. So our paper mainly reviews and compares different approaches of CBIR using RF. Its ultimate goal is to present information about image database aspects and image features setting so as to support the selection of the appropriate CBIR with RF Techniques.
Keywords :
content-based retrieval; image capture; image retrieval; relevance feedback; visual databases; CBIR systems; RF technique selection; application domain; content-based image retrieval; image capture; image database; image features; relevance feedback approaches; Biomedical imaging; Feature extraction; Image color analysis; Image databases; Radio frequency; Semantics; Visualization; Content Based Image Retrieval; Relevance Feedback; image database; image features;
Conference_Titel :
ISKO-Maghreb, 2013 3rd International Symposium
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3391-4
DOI :
10.1109/ISKO-Maghreb.2013.6728129