2013/08/20 by Angelo Ciaramella, Ciaramella, Angelo, Giulio Giunta +1
Computer Science · Engineering · #Advanced Data Compression Techniques #Image and Video Quality Assessment #Sparse and Compressive Sensing Techniques #cs.MM
paper · pdf · doi:10.48550/arxiv.1308.4263
arxiv created 2013/08/20 · arxiv updated 2013/08/21
The aim of this paper is to introduce a new schema, based on a Compressive Sampling technique, for the recovery of lost data in multimedia streaming. The audio streaming data are encapsuled in different packets by using an interleaving technique. The Compressive Sampling technique is used to recover audio information in case of lost packets. Experimental results are presented on speech and musical audio signals to illustrate the performances and the capabilities of the proposed methodology.