DocumentCode
3539564
Title
A generic content-based image search model and its key factors
Author
Zhang, Danyang
Author_Institution
Dept. of Math. & Comput. Sci., City Univ. of New York, New York, NY, USA
fYear
2009
fDate
4-6 Aug. 2009
Firstpage
826
Lastpage
828
Abstract
Despite the popularity of text-based image search engines like Google Image Search and Yahoo Image Search, their incapability of catching the real content/ sense of images makes content-based image search engines necessary. However, currently efficient and popular content-based image search engines are rare. This may be due to unfriendly user interface, low precision ratio, low recall ratio, etc. This paper presents a generic content-based image search model and briefly analyzes its key factors.
Keywords
content-based retrieval; search engines; Google Image Search; Yahoo Image Search; content-based image search; search engines; Content based retrieval; Image analysis; Image databases; Image matching; Image retrieval; Internet; Research and development; Search engines; User interfaces; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
Conference_Location
London
Print_ISBN
978-1-4244-4456-4
Electronic_ISBN
978-1-4244-4457-1
Type
conf
DOI
10.1109/ICADIWT.2009.5273897
Filename
5273897
Link To Document