DocumentCode :
3324985
Title :
Tag similarity for Flickr
Author :
Tungkasthan, Anucha ; Intarasema, Sarayut ; Premchaiswadi, Wichian
Author_Institution :
Grad. Sch. of Inf. Technol. in Bus., Siam Univ., Bangkok, Thailand
fYear :
2012
fDate :
12-13 Jan. 2012
Firstpage :
187
Lastpage :
191
Abstract :
This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval performance of images, sixty keywords in various categories are used for testing based on the Flickr image database. The results show that the proposed system returned more accurate results than the results obtained from an existing Flickr system.
Keywords :
Web sites; image retrieval; search engines; visual databases; Flickr Website; Flickr image database; image retrieval; image search engine; tag similarity; Google; Image color analysis; Image retrieval; Indexing; Instruction sets; Search engines; Visualization; ACC; ACCC; CBIR Systems; Feature Extraction; Image Retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2011 9th International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4577-2161-8
Type :
conf
DOI :
10.1109/ICTKE.2012.6152404
Filename :
6152404
Link To Document :
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