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 combination of motion vectors and transform coefficients, e.g. the MPEG and ITU family of standards, are the focus of this paper. A multichannel Bayesian approach is used to incorporate both the motion vectors and transform coefficients in it. Results show a discernable improvement in resolution in the whole sequence, as compared to standard interpolation methods.

• Type: Conference
• Year: 2003
• Where: CIARP
• Authors: Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos
• Keywords: CIARP 2003, Motion Vectors, Multichannel Bayesian Approach, Video Sequence