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» Motion Estimation for Content Adaptive Video Compression
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IVC
2007
187views more  IVC 2007»
14 years 9 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
ISCAS
2006
IEEE
87views Hardware» more  ISCAS 2006»
15 years 3 months ago
Error-resilience transcoding using content-aware intra-refresh based on profit tracing
— In this paper, we present a two-pass error-resilience transcoding scheme based on content-aware intra-refresh (CAIR) for inserting error-resilience features to a compressed vid...
Chih-Ming Chen, Yung-Chang Chen, Chia-Wen Lin
CGI
2003
IEEE
15 years 2 months ago
Automatic Tracking of Face Sequences in MPEG Video
Human faces are commonly found in video streams and provide useful information for video content analysis. This paper presents a robust face tracking system to extract multiple fa...
Yunlong Zhao, Tat-Seng Chua
CVPR
2009
IEEE
16 years 4 months ago
Dense 3D Motion Capture for Human Faces
This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and ...
Yasutaka Furukawa (University of Washington), Jean...
WACV
2005
IEEE
15 years 3 months ago
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
Scene flow methods estimate the three-dimensional motion field for points in the world, using multi-camera video data. Such methods combine multi-view reconstruction with motion...
Rui Li, Stan Sclaroff