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ICCV
2011
IEEE
12 years 5 months ago
Large-Scale Image Annotation using Visual Synset
We address the problem of large-scale annotation of web images. Our approach is based on the concept of visual synset, which is an organization of images which are visually-simila...
David Tsai, Yushi Jing, Yi Liu, Henry Rowley, Serg...
ICIP
2003
IEEE
14 years 7 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
ACL
2011
12 years 9 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
IJCV
2008
226views more  IJCV 2008»
13 years 5 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
14 years 10 months ago
Learning Actions From the Web
This paper proposes a generic method for action recognition in uncontrolled videos. The idea is to use images collected from the Web to learn representations of actions and use ...
Nazli Ikizler-Cinbis, R. Gokberk Cinbis, Stan Scla...