Hi Josh, I briefly looked at the ImageNet description at the Princeton WordNet site. It does not reveal whether the images are open source to the extent this new data can be linked and distributed with WordNet, which has a very permissive license.
-Steve Stephen L. Reed Artificial Intelligence Researcher http://texai.org/blog http://texai.org 3008 Oak Crest Ave. Austin, Texas, USA 78704 512.791.7860 ----- Original Message ---- From: "J Storrs Hall, PhD" <[EMAIL PROTECTED]> To: agi@v2.listbox.com Sent: Friday, May 2, 2008 12:22:40 PM Subject: [agi] upcoming oral at Princeton Just saw this announcement go by: Abstract: Constructing ImageNet Data sets are essential in computer vision and content based image retrieval research. We present the work in progress for constructing ImageNet, a large scale image data set based on the Princeton WordNet. The goal is to associate more than 1000 clean images with each node of WordNet, which consists of ~30,000 ( estimated ) imagable nodes. We build a prototype system for constructing ImageNet, as a first step toward large scale deployment. For each node of WordNet, which is a synonym set (synset) for a single concept, we collect candidate images from the Internet and clean up them with semi-automatic labeling. We train boosting classifiers from human labeled data and use active learning to substantially speed up the labeling process. We also developed a web interface for massive online human labeling. We demonstrate the effectiveness of our system with results from a subset of synsets. Reading list: Text book: Pattern Recognition and Machine Learning, Christopher M. Bishop, 2006. Chapter 1,2,8,14. Modern Operating System, Tanenbaum. Papers: Animals on the Web, Berg, Forsyth, CVPR06 OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning, Li, Wang, Fei-Fei, CVPR07 Learning Object Categories from Google's image Search, Fergus, Fei-Fei, Perona, Zissermaman, ICCV05 Harvesting Image Databases from the Web, Scroff, Zisserman, ICCV07 >From Aardvark to Zorro: A Benchmark of Mammal Images, Fink, Ullman, NIPS05 Tiny Images, Torralba, Fergus, Freeman, TechReport MIT, 2007 Labeling Images with a Computer Game. Luis von Ahn and Laura Dabbish, CHI04 LabelMe: a database and web-based tool for image annotation, Russell, Torralba, IJCV07 Introduction to a large scale general purpose groundtruth dataset: methodology, annotation tool, and benchmarks, Z.Y. Yao, X. Yang, and S.C. Zhu, EMMCVPR07 Combining active and semi-supervised learning for spoken language understanding, Tur, Hakkani-Tur, Schapire, Speech Communication, 05 Online boosting and vision, CVPR06 ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?&; Powered by Listbox: http://www.listbox.com ____________________________________________________________________________________ Be a better friend, newshound, and know-it-all with Yahoo! Mobile. Try it now. http://mobile.yahoo.com/;_ylt=Ahu06i62sR8HDtDypao8Wcj9tAcJ ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=101455710-f059c4 Powered by Listbox: http://www.listbox.com
