SIMPLIcity ALIP   :   Automatic Linguistic Indexing of Pictures
(wang.ist.psu.edu/IMAGE)

The ALIP system selects among 600 trained concepts to annotate images automatically. We show annotation results here. The research has been started when J. Wang and J. Li were with Stanford and is continued at Penn State. An on-line real-time image annotation demonstration is expected to be developed and made available in the future. At that time, you will be able to submit your own images for automatic annotation. For now, we provide some automatic annotation examples. For more technical information, please refer to our publications:
- Jia Li, James Z. Wang, ``Automatic linguistic indexing of pictures by a statistical modeling approach,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 947-963, 2003. (Download)

- James Z. Wang, Jia Li, ``Learning-based linguistic indexing of pictures with 2-D MHMMs,'' Proc. ACM Multimedia, pp. 436-445, Juan Les Pins, France, ACM, December 2002. (Download)

- Jia Li, Robert M. Gray, Richard A. Olshen, ``Multiresolution image classification by hierarchical modeling with two dimensional hidden Markov models,'' IEEE Transactions on Information Theory, 46(5):1826-41, August 2000. (Download)
Images on this web site are for viewing ONLY. The copyrights belong to the original publishers. Please do NOT download from our site without our permission. We will terminate your access if such event is detected. If you would like to compare results, please contact James Wang via email to arrange.
    <- Click random to see more examples randomly selected from 60,000 images.
Below are some random results. Click to view more. You may want to enlarge your browser window.

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Honesty is the habitual absence of the intent to deceive. -- anonymous
2001-2003, Jia Li and James Z. Wang