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» Finding Paths in Video Sequences
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CVPR
2008
IEEE
14 years 12 months ago
Pan, zoom, scan - Time-coherent, trained automatic video cropping
We present a method to fully automatically fit videos in 16:9 format on 4:3 screens and vice versa. It can be applied to arbitrary aspect ratios and can be used to make videos sui...
Thomas Deselaers, Philippe Dreuw, Hermann Ney
CCR
2002
85views more  CCR 2002»
13 years 9 months ago
Large-scale experimental study of Internet performance using video traffic
In this paper, we analyze the results of a seven-month real-time streaming experiment, which was conducted between a number of unicast dialup clients, connecting to the Internet t...
Dmitri Loguinov, Hayder Radha
ICIP
2009
IEEE
14 years 11 months ago
A Resource Allocation Framework For Summarizing Team Sport Videos
We propose a flexible summarization framework for teamsport videos, which is able to integrate both the knowledge about displayed content (e.g. level of interest, type of view, et...
SIAMDM
2010
95views more  SIAMDM 2010»
13 years 4 months ago
Voting Paths
We consider a matching market, in which the aim is to maintain a popular matching between a set of applicants and a set of posts, where each applicant has a preference list rankin...
David J. Abraham, Telikepalli Kavitha
PAMI
2011
13 years 4 months ago
Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera
—Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that...
Guofeng Zhang, Jiaya Jia, Wei Hua, Hujun Bao