The Automatic Linguistic Indexing of Pictures
System
Jia Li, James Z. Wang
The Pennsylvania State University, University Park, PA 16802
Abstract:
In this demonstration, we present the Automatic Linguistic
Indexing of Pictures (ALIP) system. The system annotates images with
linguistic terms, chosen among hundreds of such terms. The system
uses a wavelet-based approach for feature extraction, a statistical
modeling process for training, and a statistical significance
processor to annotate images. We implemented and tested our ALIP
system on a photographic image database of 600 different concepts,
each with about 40 training images. The ALIP system has been used to
annotate about 60,000 photographic images. In this demonstration, we
illustrate the algorithms in the system and show the annotation
results. With distributed computation, the annotation of an image can
be provided in real-time. The demonstration system is available
online at the site http://riemann.ist.psu.edu .
Full Paper in Color
(PDF, 0.2MB)
On-line Demo
Citation:
Jia Li and James Z. Wang, ``The Automatic Linguistic Indexing of
Pictures System,'' Proc. International Conference on Computer Vision
and Pattern Recognition, Demonstration, vol. II,
pp. 1208-1209, San Diego, CA, IEEE,
June 2005.
Copyright 2005 IEEE.
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Last Modified:
April 20, 2005
© 2005