Smoothing is a transmission plan that converts video data stored at a variable bit rate into a fixed bit rate. Algorithms for smoothing include CBA, which aims to minimize the number of transmission rate increases, MCBA, which minimizes the number of transmission rate changes, and MVBA algorithms that minimize the amount of transmission rate change. This paper compares the proposed algorithm with the CBA algorithm with various video data, buffer size, and performance evaluation factors as a follow-up to the proposed smoothing algorithm that minimizes (maximizes) the transmission rate increase (decrease) when the server requires more bandwidth The evaluation factors used were compared with the number of changes in the fps rate, the minimum fps, the average fps, fps variability, and the number of frames to be discarded. As a result of the comparison, the proposed algorithm showed superiority in comparing the number of fps rate changes and the number of frames discarded.
D. Le Gall, "MPEG: A video compression standard for multimedia applications", Communications of the ACM, Vol.34, April, pp.47-58, 1991.
W.Feng, "Rate-constrained bandwidth smoothing for the delivery of stored video", in SPIE Multimedia Networking and Computing, Vol.3020, pp.316-327, 1997.
Ray-I chang,Meng-Chang Chen,Jan-Ming Ho and Ming-Tat Ko, "Schedulable Region for VBR Media Transmission with Optimal Resource Allocation and Utilization", infsci(1~2), pp.1-79, 2002.
W.Feng, F.Jahanian, S.Sechrest, "An Optimal Bandwidth Allocation Strategy for the Delivery of Compressed Prerecoded Video", ACM/Springer-Verlag Multimedia Systems, Vol.5, No.5, pp.297-309, Sept 1997.
MyounJae Lee, et,al, “An Efficient Smoothing Algorithm for Video Transmission at Variable Bit Rate”, KIPS Transactions on Computer and Communication Systems, Vol.11, No.7, pp.1009-1022, 2004.
MyounJae Lee, “Video Data Transfer Algorithms for Efficient Use of Network Bandwidth”, Journal of Next-generation Convergence Information Services Technology, Vol.10, No.1, pp.11-20, 2021.
MyounJae Lee, "Performance Evaluation of Smoothing Algorithm for Efficient Use of Network Resources in IoT environments", Journal of The Korea Internet of Things Society, 7(2), pp.47-53, 2021.
W. Feng, S. Sechrest, "Critical Bandwidth Allocation for the Delivery of Compressed Prerecorded Video", Computer Communications, Vol.18, No.10, pp.709-717, 1995.
W. Feng, et. al., "Smoothing and buffering for delivery of prerecorded compressed video", in Proc. of ISET/SPIE Symp. on Multimedia Comp. and Networking, pp.234-242, 1995.
J. McManus and K.Ross, "Video on demand over ATM:Constant-rate Transmission and Transport", in proc.of ACM SIGMETRICS, pp.222-231, May 1996.
J. Zhang and J. Hui. "Applying traffic smoothing techniques for quality of service control in VBR video transmissions", Computer Communications, pp.375-389, 1998.
J. Zhang and J. Y. Hui, "Traffic Characteristics and Smoothness Criteria in VBR Video Traffic Smoothing", in Proc. of the ICMC and Systems, Vol.1, pp.3-11. 1997.
P. Thiran, et. al., "Network calculus applied to optimal multimedia smoothing", Proceedings IEEE INFOCOM 2001, pp.1474-1483, 2001.
Han-Chieh Chao, C.L.Hung, "Efficient Changes and Variability Bandwidth Allocation for VBR Media Streams", IEEE International Conference on Communications. Conference Proceedings, Vol.12, pp. 179-185, 2001.
J.D. Salehi, et. al., "Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing", in Proc. of ACM SIGMETRICS, pp.222-231, 1996.
W. Feng and J. Rexford. "Performance evaluation of smoothing algorithms for transmitting prerecorded VBR video", IEEE Trans. on Multimedia, pp.302-312, 1999.
Wu-chi Feng, Ming Liu, "Critical Bandwidth Allocation Technique for Stored Video Delivery Across Best-Effort Network", pp.25, (OSU- CISRC-8/98-TR32)1998.
Wu-chi Feng, Ming Liu, "Extending critical bandwidwith allocation Techniques for stored video delivery across best-effort networks", International Journal of COMMUNICATION SYSTMES Int.J.Commun.sust,2001.
MyounJae Lee, “Smoothing Algorithm Considering Server Bandwidth and Network”, Journal of Internet of Things and Convergence, Vol.8, No.1, pp.53-58, 2022.