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EVENT
2001
267views more  EVENT 2001»
13 years 9 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah
ISBI
2008
IEEE
14 years 8 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
MM
2010
ACM
182views Multimedia» more  MM 2010»
13 years 7 months ago
Joke-o-Mat HD: browsing sitcoms with human derived transcripts
Joke-o-mat HD is a system that allows a user to navigate sitcoms (such as Seinfeld) by "narrative themes", including scenes, punchlines, and dialog segments. The themes ...
Adam Janin, Luke R. Gottlieb, Gerald Friedland
CVPR
2011
IEEE
13 years 4 months ago
Functional Categorization of Objects using Real-time Markerless Motion Capture
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
Juergen Gall, Andrea Fossati, Luc VanGool
CAIP
2009
Springer
130views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Performance Prediction for Unsupervised Video Indexing
Recently, performance prediction has been successfully applied in the field of information retrieval for content analysis and retrieval tasks. This paper discusses how performance ...
Ralph Ewerth, Bernd Freisleben