Abstract��In order to improve the packet loss resilience of Scalable Video Coding (SVC) over communication networks, an efficient Unequal Error Protection (UEP) algorithm for SVC using adaptive genetic algorithm was proposed. A method to encapsulate network abstract layer units according to the feature of the head information of a packet was introduced. Then the problems of pair codes assignment were transformed into the problems of multi-constraint optimization, which could be transformed into unconstrained objective by exploiting penalty function. Therefore, the adaptive genetic algorithm was employed to obtain globally optimal solution. The simulation results reveal that compared with the typical unequal error protection algorithms, the Peak Signal-to-Noise Ratio (PSNR) is improved by 0.8dB-1.95dB, and the proposed algorithm provides substantial improvement for the decoding speed and received video quality over best effort packet networks.
�ﲨ ������ ����ͥ. ��������Ӧ�Ŵ��㷨��SVC�Ǿ�ȴ����㷨[J]. �����Ӧ��, 2014, 34(1): 162-166.
TIAN Bo YANG Yimin CAI Shuting. Unequal error protection with adaptive genetic algorithm for scalable video coding. Journal of Computer Applications, 2014, 34(1): 162-166.
2014, Vol. 34 
