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» A Bayesian Approach to Adaptive Video Super Resolution
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CVPR
2004
IEEE
14 years 9 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade
CVPR
2010
IEEE
14 years 20 days ago
Optimal Coded Sampling for Temporal Super-Resolution
Conventional low frame rate cameras result in blur and/or aliasing in images while capturing fast dynamic events. Multiple low speed cameras have been used previously with stagger...
Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan, Sr...
CIARP
2003
Springer
14 years 17 days ago
Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations
A framework for recovering high-resolution video sequences from sub-sampled and compressed observations is presented. Compression schemes that describe a video sequence through a c...
Luis D. Alvarez, Rafael Molina, Aggelos K. Katsagg...
CVPR
2012
IEEE
11 years 9 months ago
Video from nearly still: An application to low frame-rate gait recognition
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...
Naoki Akae, Al Mansur, Yasushi Makihara, Yasushi Y...
ICIP
2001
IEEE
14 years 9 months ago
Bayesian resolution-enhancement framework for transform-coded video
Resolution enhancement for video sequences has always been an attractive application in multimedia signal processing. "Superresolution" methods, that combine non-redunda...
Bahadir K. Gunturk, Yucel Altunbasak, Russell M. M...