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ALIP: The Automatic Linguistic Indexing of Pictures System

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ALIP: The Automatic Linguistic Indexing of Pictures System
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 . THE ALIP SYSTEM Automatic linguistic indexing of pictures is essentially important to content-based image retrieval [5] and computer object recognition. It can...
Jia Li, James Ze Wang
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2005
Where CVPR
Authors Jia Li, James Ze Wang
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