Josh, thanks for this very, very interesting project, primarily because of the great shortage in quality, large data sets for immage annotation! 1000*30.000= 30 million images: truly immense. Very valueable to the computer vision and machine learning community! Now the datasets, computer power are there, and some interesting algorithms can be tested on this data. Good news!
On Fri, May 2, 2008 at 7:22 PM, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote: > 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 > ------------------------------------------- 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
