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Simplicity Research - Content-based Image Retrieval



> Brief History
> This site features the content-based image retrieval research that was
> developed originally at Stanford University in the late 1990s by Jia Li, James
> Z. Wang, and Gio Wiederhold. Li and Wang are currently with Penn State and
> conduct research related to image big data. More information about their Penn
> State research can be found from their groups' websites (Li group, Wang
> group).
> 
> While at Stanford University, Li was with the Electrical Engineering and
> Computer Science departments, Wang was with the Medical Information Sciences
> program and the Computer Science department, and Wiederhold was a faculty
> member of the Computer Science department. They collaborated on the original
> SIMPLIcity system development in 1998 and subsequently on related
> publications. The aim back then was to be able to provide content-based image
> retrieval functions for millions of images in real time on a single CPU of a
> standard PC. The CPU speed and capabilities back then were quite limited in
> today's standard. But the team was able to overcome the challenges through
> developing some new statistical and computational methods. Also, the work
> pioneered the concept of integrating semantic classification in the retrieval
> of images. The Integrated Region Matching (IRM) distance they have developed
> opened new possibilities regarding the use of the Wasserstein metric for big
> data problems.
> 
> System Architecture
> TM
> Semantics-sensitive Integrated Matching for Picture Libraries
> 
> Publications
> The publications related to the research at Stanford have been widely cited by
> other scientists around the world. For example, according to Google Scholar,
> the SIMPLIcity journal paper has been cited for over 2500 times. Main original
> publications related to the Stanford work include
> 
>  * James Z. Wang, Jia Li, Gio Wiederhold, ``SIMPLIcity: Semantics-sensitive
>    Integrated Matching for Picture LIbraries,'' IEEE Trans. on Pattern
>    Analysis and Machine Intelligence, vol 23, no. 9, pp. 947-963, 2001.
>    (download)
>  * Jia Li, James Z. Wang, Gio Wiederhold, ``IRM: Integrated Region Matching
>    for Image Retrieval,'' Proceedings of the ACM International Conference on
>    Multimedia, pp. 147-156, 2000. (download)
>  * James Z. Wang, Jia Li, Desmond Chan, Gio Wiederhold, ``Semantics-sensitive
>    Integrated Matching for Picture LIbraries,'' D-Lib, vol 5, no. 11, 1999.
>    (download)
> 
> The research has also been shown to be useful in a range of applications
> including pathology, art, satellite imaging, and Web image retrieval. Some
> representative publications in these areas include
>  * James Z. Wang, ``Pathfinder: Multiresolution Region-Based Searching of
>    Pathology Images Using IRM,'' Journal of the American Medical Informatics
>    Association, Proceedings of the AMIA Annual Symposium, vol. 2000 symposium
>    suppl., pp. 883-887, Los Angeles, CA, November 2000. (download)
>  * James Z. Wang, Jia Li and Ching-chih Chen, ``Interdisciplinary Research to
>    Advance Digital Imagery Indexing and Retrieval Technologies for Asian Art
>    and Cultural Heritages,'' Proceedings of the 4th ACM International Workshop
>    on Multimedia Information Retrieval, in conjunction with ACM Multimedia, 6
>    pages, Juan Les Pins, France, ACM, December 2002. (download)
>  * Ashish Parulekar, Ritendra Datta, Jia Li and James Z. Wang, ``Large-scale
>    Satellite Image Browsing using Automatic Semantic Categorization and
>    Content-based Retrieval,'' Proceedings of the IEEE International Workshop
>    on Semantic Knowledge in Computer Vision, in conjunction with IEEE
>    International Conference on Computer Vision, 8 pages, abstract on pp. 1873
>    of Proc. ICCV Workshops, Beijing, China, IEEE, October 2005. (download)
>  * Dhiraj Joshi, Ritendra Datta, Ziming Zhuang, WP Weiss, Marc Friedenberg,
>    James Z. Wang and Jia Li, ``PARAgrab: A Comprehensive Architecture for Web
>    Image Management and Multimodal Querying,'' Proceedings of the
>    International Conference on Very Large Data Bases, Demonstration, pp.
>    1163-1166, Seoul, Korea, September 2006. (download)
> 
> Later, Li, Wang, and two other researchers Drs. R. Datta and D. Joshi, wrote a
> high-impact article on image retrieval.
>  * Ritendra Datta, Dhiraj Joshi, Jia Li and James Z. Wang, ``Image Retrieval:
>    Ideas, Influences, and Trends of the New Age,'' ACM Computing Surveys, vol.
>    40, no. 2, article 5, pp. 5:1-60, April 2008. (download)
> 
> Demo
> Our demo server suffered from a security issue around 2011-2012 and we have
> just been able to re-establish some of the demo services. More demos will be
> coming. You can try our system using the following link(s).
> 
> 
>  * 60,000-image Dataset: Go to DEMO
>    
>    
> 
> You can also visit one of the sites that is currently running our system for
> real-world image data: TerraGalleria.com - the on-line galleries of travel,
> adventure, landscape, and nature photography by QT Luong. Enjoy. An example
> query result.
> 
> Obtain the System
> If you are interested in obtaining the search engine, please contact Dr. James
> Wang. His current contact information is kept on his personal web page.
> 
> 
> 
> 
> 
> © 1999-2017   Simplicity Research Project. All rights reserved.