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