Real-Time Computerized Annotation of Pictures
Jia Li and James Z. Wang
The Pennsylvania State University, University Park, PA 16802
Automated annotation of digital pictures has been a highly challenging
problem for computer scientists since the invention of computers. The
capability of annotating pictures by computers can lead to
breakthroughs in a wide range of applications including Web image
search, online picture-sharing communities, and scientific
experiments. In our work, by advancing statistical modeling and
optimization techniques, we can train computers about hundreds of
semantic concepts using example pictures from each concept. The ALIPR
(Automatic Linguistic Indexing of Pictures - Real Time) system of
fully automatic and high speed annotation for online pictures has been
constructed. Thousands of pictures from an Internet photo-sharing
site, unrelated to the source of those pictures used in the training
process, have been tested. The experimental results show that a
single computer processor can suggest annotation terms in real-time
and with good accuracy.
Full Paper in Color
Jia Li and James Z. Wang, ``Real-time Computerized Annotation of
Pictures,'' Proceedings of the ACM Multimedia Conference, pp. 911-920, ACM,
Santa Barbara, CA, October 2006.
Copyright 2006 ACM.
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July 25, 2006