Browse > Article
http://dx.doi.org/10.9728/dcs.2016.17.3.135

Video Replay by Frame Receive Order Relocation Method in the Wire and Wireless Network  

Kang, Dong-Jin (Kangwon National University, Electrical and Electronic Engineering)
Kim, Dong-Hoi (Kangwon National University, Electrical and Electronic Engineering)
Publication Information
Journal of Digital Contents Society / v.17, no.3, 2016 , pp. 135-142 More about this Journal
Abstract
When video service is performed in simulation using NS-2(Network Simulation-2), the video replay is performed as the received frame order. In the existing video replay method based on the received frame order, as the frame orders of receiver and transmitter are different, the receiver buffer does not have the effect that the packets between the frames of transmitter buffer holds a regular size and packet dense and sparsity phenomenon in the receiver buffer is made by the irregular packet size due to the unpredictable reversed order of received partial frames. The above dense and sparsity phenomenon increases the probability of buffer overflow and underflow generation. To prevent these problems, the proposed frame receive order relocation method adds an extra replay buffer which rearranges the order of receive frame as the order of transmit frame, so it has the effect that the packets between the transmit frames keeps a regular size. Through the simulation using NS-2 and JSVM(Joint Scalable Video Model), the generation number of buffer overflow and underflow, and PSNR(Required Peak Signal to Noise Ratio) performance between the existing method and proposed method were compared. As a result, it was found that the proposed method would have better performance than the existing method.
Keywords
Video streaming; Frame receive order; Buffer overflow; Buffer underflow; PSNR;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Chang, S.F. and Vetro, A., "Video adaptation concepts, technologies, and open issues," Proceedings of the IEEE, vol. 93, Issue 1, pp. 148-158, Jan. 2005.   DOI
2 Source: TDG Research, http://www.tdgresearch.com.
3 Cisco visual networking index : Forecast and methodology, http://www.cisco.com/
4 M.Wien, R. Cazoulat, A. Graffunder, A. Hutter, and P. Amon, "Real-time system for adaptive video streaming based on SVC," IEEE Transactions on Circuits and System for Video Technology, vol.17, no.9, pp.1227-1237, Sep. 2007.   DOI
5 Haechul Choia, Kyung Il Leea, Jung Won Kanga, Seong-Jun Baea, and Jeong-Ju Yoo . "Overview and Performance Analysis of the Emerging Scalable Video Coding" . The Korean Institute of Broadcast and Media Engineers. vol. 12, no 6, pp.542-554 . Nov. 2007
6 Young-Min Jang, The application of NS-2 Network Simulation, Hongrung Publishing Company, 2008.
7 Chin-Heng Ke, How to do H.264 SVC transmission simulations part2 : combined scalability(2012), Retrieved Sep, 2015, from http://csie.nqu.edu.tw/smallko/ns2/svc2.htm
8 JSVM Software Manual(2006)
9 C. -H. Ke, "myEvalSVC : An intrgrated simulation framework for evaluation of H.264./SVC transmission," KSII Trans. internet abd Inf. Syst., vol. 6, no. 1, 99. pp. 378-393, Jan. 2012.
10 Jungdong Seo and Kwanghoon Sohn . "PSNR Estimation of H.264/AVC Bitstream for Hierarchical-B Picture Structure". The Korean Society of Broadcast Engineers. vol. 16, no 6, pp. 996-1008. Nov. 2011