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» Learning and Recognizing Human Dynamics in Video Sequences
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CHI
2003
ACM
15 years 10 months ago
The kinedit system: affective messages using dynamic texts
Kinetic (dynamic) typography has demonstrated the ability to add significant emotive content and appeal to expressive text, allowing some of the qualities normally found in film a...
Jodi Forlizzi, Johnny C. Lee, Scott E. Hudson
MIR
2006
ACM
267views Multimedia» more  MIR 2006»
15 years 3 months ago
Matching slides to presentation videos using SIFT and scene background matching
We present a general approach for automatically matching electronic slides to videos of corresponding presentations for use in distance learning and video proceedings of conferenc...
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat,...
FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
15 years 1 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
CGF
2008
156views more  CGF 2008»
14 years 9 months ago
Render2MPEG: A Perception-based Framework Towards Integrating Rendering and Video Compression
Currently 3D animation rendering and video compression are completely independent processes even if rendered frames are streamed on-the-fly within a client-server platform. In suc...
Robert Herzog, Shin-ichi Kinuwaki, Karol Myszkowsk...
ICIP
2007
IEEE
15 years 11 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...