DocumentCode :
2291554
Title :
Relevancy tag ranking
Author :
Agrawal, Garima ; Chaudhary, Rashmi ; Singh, P.K.
Author_Institution :
Comput. Sci. & Eng., Madan Mohan Malaviya Eng. Coll., Gorakhpur, India
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
169
Lastpage :
173
Abstract :
Tags are metadata which helps describe the visual content of an image that makes browsing easier by better organization. Recent boom of Social Media sharing Websites has popularized tagging among a large pool of users by facilitating sharing and embedding of personal photographs. Inappropriate and Random tagging has come out of the blue as a major drawback of personalized tagging limiting the effectiveness of their search and retrieval. In this paper, we propose a tag indexing scheme, which helps to rank the tags of an image according to their pertinence with image content. We first segment the image, calculate the size of segmented objects, and continue parsing for object identification. Then we perform the Probabilistic density estimation and finally couple it with social image retrieval approaches to improve its effectiveness. This tag ranking approach significantly hikes up the performance of tag based image search and retrieval.
Keywords :
Web sites; image retrieval; image segmentation; indexing; probability; Website; image content; image search; image segmentation; metadata; object identification; parsing; personal photograph; probabilistic density estimation; random tagging; relevancy tag ranking; social image retrieval; social media sharing; tag indexing; visual content; Communications technology; Computers; Estimation; Image segmentation; Probabilistic logic; Tagging; Visualization; Flickr; retrieval; search; size estimation; tag ranking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technology (ICCCT), 2011 2nd International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4577-1385-9
Type :
conf
DOI :
10.1109/ICCCT.2011.6075169
Filename :
6075169
Link To Document :
بازگشت