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» A computational framework for incremental motion
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127
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ICCV
2009
IEEE
16 years 8 months ago
Tracking in Unstructured Crowded Scenes
This paper presents a target tracking framework for unstructured crowded scenes. Unstructured crowded scenes are defined as those scenes where the motion of a crowd appears to b...
Mikel Rodriguez, Saad Ali, Takeo Kanade
ICCV
2009
IEEE
16 years 8 months ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah
172
Voted
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
15 years 1 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai
115
Voted
CHI
2002
ACM
16 years 3 months ago
How knowledge workers use the web
We report on a diary study of how and why knowledge workers use the World Wide Web. By examining in detail a complete two-day set of Web activities from each of 24 people, we cons...
Abigail Sellen, Rachel Murphy, Kate L. Shaw
CVPR
2010
IEEE
15 years 11 months ago
Dynamic and Scalable Large Scale Image Reconstruction
Recent approaches to reconstructing city-sized areas from large image collections usually process them all at once and only produce disconnected descriptions of image subsets, whi...
Christoph Strecha, Timo Pylvanainen, Pascal Fua