Title: An algorithm of video network transmission based on unbalanced multiple description coding

Authors: Shan Guo Lv; Yi Qin Cao

Addresses: Department Software, School of East China, Jiaotong University, Nanchang, 330013, China ' Department Software, School of East China, Jiaotong University, Nanchang, 330013, China

Abstract: The drop-rate and net delay during video network transmission are two important factors in ensuring video network transmission quality. The purpose of network congestion control is to reduce the bad quality impact of video network transmission caused by net delay and the drop-rate. This paper proposes an algorithm of video network transmission based on unbalanced multiple description coding, which is capable of quickly recovering from packet losses and ensuring continuous playback, and further adaptive to both multiple path and single path transmission. Markov model was employed to predict the state of network congestion based on available bandwidth detection; and video transmission path was changed on the basis of the prediction. The experiments show that, compared with RED algorithm, the algorithm is much more effective to estimate network congestion, reduce video packet loss rate and net delay, thus the video network transmission quality can be ensured more effectively.

Keywords: unbalanced multiple description coding; UMDC; bandwidth detection; Markov model.

DOI: 10.1504/IJES.2018.095020

International Journal of Embedded Systems, 2018 Vol.10 No.5, pp.437 - 444

Available online: 31 Aug 2018 *

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