By Topic

Combining text and image information in content-based retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Srihari, R.K. ; Center for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA

This research explores the interaction of textual and photographic information in an integrated text/image database environment. By understanding the caption accompanying a picture, we are able to extract information useful in (i) retrieving the picture and (ii) directing an image interpretation system to identify relevant objects (in this case, faces) in the picture. The latter constitutes a powerful technique for automatically indexing images. In cases where images are not accompanied by text, it is far easier to manually add a line of descriptive text than to manually truth the images. A multi-stage system, PICTION, which uses captions to identify human faces in an accompanying photograph has been developed. We discuss the use of PICTION's output in content-based retrieval of images to satisfy focus of attention in queries

Published in:

Image Processing, 1995. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

23-26 Oct 1995