Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

An Efficient Spatial Scalable Video Encoder Based on DWT

Download
553 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-32573-1_11,
        author={Saoussen Cheikhrouhou and Yousra Ben Jemaa and Mohamed Ben Ayed and Nouri Masmoudi},
        title={An Efficient Spatial Scalable Video Encoder Based on DWT},
        proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
        proceedings_a={SPIT \& IPC},
        year={2012},
        month={10},
        keywords={video conference temporal redundancy spatial scalability discrete wavelet transform dwt tier1 and tier2 entropy coding},
        doi={10.1007/978-3-642-32573-1_11}
    }
    
  • Saoussen Cheikhrouhou
    Yousra Ben Jemaa
    Mohamed Ben Ayed
    Nouri Masmoudi
    Year: 2012
    An Efficient Spatial Scalable Video Encoder Based on DWT
    SPIT & IPC
    Springer
    DOI: 10.1007/978-3-642-32573-1_11
Saoussen Cheikhrouhou1, Yousra Ben Jemaa2, Mohamed Ben Ayed1, Nouri Masmoudi1,*
  • 1: Sfax National School of Engineering
  • 2: ENIT
*Contact email: nouri.masmoudi@enis.rnu.tn

Abstract

Multimedia applications reach a dramatic increase in nowadays life. Therefore, video coding scalability is more and more desirable. Spatial scalability allows the adaptation of the bit-stream to end users as well as varying terminal capabilities. This paper presents a new Discrete Wavelet Transform (DWT) based coding scheme, which offers spatial scalability from one hand and ensures a simple hardware implementation compared to the other predictive scalable compression techniques from the other. Experimental results have shown that our new compression scheme offers also good compression efficiency. Indeed, it achieves up to 61\% of bit-rate saving for Common Intermediate Format (CIF) sequences using lossy compression and up to 57\% using lossless compression compared with the Motion JPEG2000 standard and 64\% compared with a DWT-coder based on Embedded Zero tree Wavelet (EZW) entropy encoder.