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MM
2005
ACM
250views Multimedia» more  MM 2005»
13 years 10 months ago
An object-based video coding framework for video sequences obtained from static cameras
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Asaad Hakeem, Khurram Shafique, Mubarak Shah
ICIP
1997
IEEE
14 years 6 months ago
Model-Based Estimation of Facial Expression Parameters from Image Sequences
In this paper we present a model-based algorithm for the estimation of 3D motion and the analysis of facial expressions of a speaking person. A set of facial animation parameters ...
Peter Eisert, Bernd Girod
VCIP
2003
151views Communications» more  VCIP 2003»
13 years 6 months ago
Sports video categorizing method using camera motion parameters
In this paper, we propose a content based video categorizing method focusing broadcasted sports videos using camera motion parameters. We define two new features in the proposed m...
Shinichi Takagi, Shinobu Hattori, Kazumasa Yokoyam...
CVPR
2008
IEEE
14 years 7 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
CVPR
2012
IEEE
11 years 7 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...