Compressed Video Sensing with Multi-hypothesis Prediction

This paper proposes a novel framework of multi-hypothesis compressed video sensing. Multi-hypothesis prediction and bi-directional motion estimation are applied to generate side information candidates. The correlation coefficients between the non-key frame and the three candidates are calculated respectively for selecting the most similar side information. The simulation results show that the proposed framework can provide better recovery performance than the framework using original MH-BCS-SPL algorithm.

[1]  Thomas S. Huang,et al.  Distributed Video Coding using Compressive Sampling , 2009, 2009 Picture Coding Symposium.

[2]  James E. Fowler,et al.  Block Compressed Sensing of Images Using Directional Transforms , 2010, 2010 Data Compression Conference.

[3]  Ning Wang,et al.  Distributed compressed video sensing based on the optimization of hypothesis set update technique , 2017, Multimedia Tools and Applications.

[4]  Hiroshi Shigeno,et al.  P2P video-on-demand streaming using caching and reservation scheme based on video popularity , 2012, Int. J. Grid Util. Comput..

[5]  Mário A. T. Figueiredo,et al.  Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.

[6]  Wei He,et al.  Space-Time Quantization and Motion-Aligned Reconstruction for Block-Based Compressive Video Sensing , 2016, KSII Trans. Internet Inf. Syst..

[7]  Juggapong Natwichai,et al.  Content-based video search on peer-to-peer networks , 2011, Int. J. Grid Util. Comput..

[8]  Chun-Shien Lu,et al.  Distributed compressive video sensing , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Chun-Ling Yang,et al.  A two-stage multi-hypothesis reconstruction scheme in compressed video sensing , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[10]  Lu Gan.  Block Compressed Sensing of Natural Images , 2007, 2007 15th International Conference on Digital Signal Processing.

[11]  James E. Fowler,et al.  Video Compressed Sensing with Multihypothesis , 2011, 2011 Data Compression Conference.

[12]  Trac D. Tran,et al.  Distributed Compressed Video Sensing , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[13]  Yu Meng,et al.  Adaptive Multihypothesis Prediction Algorithm for Distributed Compressive Video Sensing , 2013, Int. J. Distributed Sens. Networks.