DocumentCode
2051868
Title
YACBIR: Yet Another Content Based Image Retrieval System
Author
Ait-Aoudia, Samy ; Mahiou, Ramdane ; Benzaid, Billel
Author_Institution
ESI Ecole Nat. Super. en Inf., Algiers, Algeria
fYear
2010
fDate
26-29 July 2010
Firstpage
570
Lastpage
575
Abstract
Vision is central in human perception. Images are everywhere. Real life applications produce and use huge amounts of different types images. Retrieving an image having some characteristics in a big database is a crucial task. We need then mechanisms for indexing and retrieving images. CBIR (Content Based Image Retrieval) systems perform these tasks by indexing images using the physical characteristics automatically extracted and searching by an image query. We will present a CBIR system named YACBIR (Yet Another CBIR) that combines several properties (color, texture and points of interest) extracted automatically to index and retrieve images.
Keywords
content-based retrieval; image colour analysis; image retrieval; image texture; indexing; feature extraction; human perception; image color; image query; image texture; indexing; points of interest; yet another content based image retrieval system; Image color analysis; Image retrieval; Indexing; Shape measurement; Visualization; Weight measurement; CBIR (Content Based Image Retrieval) system; Indexing Images; Retrieving Images; Similarity measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation (IV), 2010 14th International Conference
Conference_Location
London
ISSN
1550-6037
Print_ISBN
978-1-4244-7846-0
Type
conf
DOI
10.1109/IV.2010.83
Filename
5571134
Link To Document