DocumentCode :
2935583
Title :
Why meaningful automatic tagging of images is very hard
Author :
Pavlidis, Theo
Author_Institution :
Stony Brook Univ., Stony Brook, NY, USA
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1432
Lastpage :
1435
Abstract :
The paper points out that while automatic image tagging is often studied in connection with content-based image retrieval (CBIR), it is actually a much harder problem. Given the difficulty of the latter, the prospects for automatic image tagging do not appear promising. A brief survey of the current state of the art confirms that conclusion. Then the paper discusses an effort to tag images based on nonpixel data and proceeds with the outline of a case where the difficulty of automatic tagging is taken advantage to construct image based CAPTCHA to distinguish human users from Web-bots. That has led to certain interesting approaches to achieve reliable human tagging that is needed for the CAPTCHA application.
Keywords :
Internet; content-based retrieval; image retrieval; CAPTCHA application; CBIR; Web-bot; automatic image tagging; content-based image retrieval; Birds; Content based retrieval; Humans; Image retrieval; Information retrieval; Labeling; Pixel; Statistical distributions; Statistics; Tagging; CAPTCHA; CBIR; Content-Based Image Retrieval; EXIF; Image Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202771
Filename :
5202771
Link To Document :
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