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» Extracting Moving People from Internet Videos
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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
ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
13 years 10 months ago
Motion segmentation in compressed video using Markov Random Fields
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
HICSS
1999
IEEE
178views Biometrics» more  HICSS 1999»
14 years 1 months ago
Collaborative Web Crawling: Information Gathering/Processing over Internet
The main objective of the IBM Grand Central Station (GCS) is to gather information of virtually any type of formats (text, data, image, graphics, audio, video) from the cyberspace...
Shang-Hua Teng, Qi Lu, Matthias Eichstaedt, Daniel...
TCSV
2010
13 years 4 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
CHI
2008
ACM
14 years 10 months ago
Video browsing by direct manipulation
We present a method for browsing videos by directly dragging their content. This method brings the benefits of direct manipulation to an activity typically mediated by widgets. We...
Pierre Dragicevic, Gonzalo Ramos, Jacobo Bibliowit...