IEEE Transactions on Information Theory
Rate-constrained multihypothesis prediction for motion-compensated video compression
IEEE Transactions on Circuits and Systems for Video Technology
Distributed video coding with compressive measurements
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Block-Based Compressed Sensing of Images and Video
Foundations and Trends in Signal Processing
Scalable Video Coding Using Compressive Sensing
Bell Labs Technical Journal
Image representation using block compressive sensing for compression applications
Journal of Visual Communication and Image Representation
Dictionary learning based reconstruction for distributed compressed video sensing
Journal of Visual Communication and Image Representation
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In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on Compressive Sampling principles. Our encoding algorithm transmits a set of measurements of every frame block. Using these measurements, the decoder finds an approximation of each block as a linear combination of a small number of blocks in previously transmitted frames. Thanks to the simplicity of the encoding, our algorithm can be useful in those video applications that require very low complex encoders. However, our algorithm is less efficient than another state-of-the-art DVC technique.