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» LabelMe: A Database and Web-Based Tool for Image Annotation
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IJCV
2008
226views more  IJCV 2008»
13 years 4 months ago
LabelMe: A Database and Web-Based Tool for Image Annotation
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and qu...
Bryan C. Russell, Antonio Torralba, Kevin P. Murph...
ICCV
2009
IEEE
1075views Computer Vision» more  ICCV 2009»
14 years 9 months ago
LabelMe video: Building a Video Database with Human Annotations
Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
CVPR
2008
IEEE
14 years 6 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
WEBNET
1998
13 years 6 months ago
An Experiment Using Document Annotations in Education
: This paper describes an on-going experiment at the Swiss Federal Institute of Technology in Lausanne regarding the use of Web based document annotations for educational purposes....
Francis Lapique, Gil Regev
ICMCS
2000
IEEE
175views Multimedia» more  ICMCS 2000»
13 years 8 months ago
A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace
In this paper, we propose a web-based learning tool for assisting and enhancing radiology education. Central to the learning tool is our recently developed content-based image ret...
Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Ch...