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» Computing Pose Sequences Directly from Videos
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ICPR
2008
IEEE
14 years 3 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
DCC
2011
IEEE
13 years 3 months ago
Robust Learning of 2-D Separable Transforms for Next-Generation Video Coding
With the simplicity of its application together with compression efficiency, the Discrete Cosine Transform(DCT) plays a vital role in the development of video compression standar...
Osman Gokhan Sezer, Robert A. Cohen, Anthony Vetro
CVPR
2007
IEEE
14 years 3 months ago
Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment
In this work, we systematically study the problem of visual event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which vide...
Dong Xu, Shih-Fu Chang
ICCV
2003
IEEE
14 years 10 months ago
Multiple-cue Illumination Estimation in Textured Scenes
In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a ...
Yuanzhen Li, Stephen Lin, Hanqing Lu, Heung-Yeung ...
CVPR
2005
IEEE
14 years 11 months ago
Radon-Based Structure from Motion without Correspondences
We present a novel approach for the estimation of 3Dmotion directly from two images using the Radon transform. We assume a similarity function defined on the crossproduct of two i...
Ameesh Makadia, Christopher Geyer, Shankar Sastry,...