Proceedings of the UGC Sponsored National Conference on Advanced Networking and Applications, 27 th March 2015 Special Issue Published in Int. Jnl. Of Advanced Networking and Applications (IJANA) Page 94 A Survey on Smoothing Quality And The Liveness Of The Stream By Increasing The Smoothing Window Size In Video Streaming A.Jagadeeshwaran Research scholar, PG&Research department of computer science, Government Arts College, udumalpet. Email: jagadeeshsamy@gmail.com Dr.E.Karthikeyan Assistant professor and Head, PG&Research department of computer science, Government Arts College, udumalpet.Email: ekarthi@gmail.com ------------------------------------------------------ABSTRACT------------------------------------------ The smoothing can be performed at either the end-point source of the video cast or at special smoothing server(s) (e.g., proxies or gateways) within the network. Bandwidth smoothing techniques for stored video perform end-end work ahead transmission of frames from the video source into the destination client video playback buffer in advance of their display times, and are very effective in reducing the bursty transmission bandwidth requirements of compressed, stored video. In layered streaming the video in peer-to-peer (p2p) networks has emerging lot of interest to maintain large number of users and to handle peer heterogeneity. Nowadays there is a lack of scheduling in a layered stream of networks. In p2p networks to ensure the uniform delivery of layered streaming there is a play out smoothing mechanism. This mechanism reduces the quality changes on streams according to the changing network conditions.However reducing the quality on streams ensures the lack of good metrics in assessing the video performance and at the same time smooth delivery of layered stream. As a result the quality of experience (QoE) between the users will be degraded while there is a change in available bandwidth. In this work we propose a smoothing window mechanism to achieve the good tradeoff between the smoothing qualities and the liveness of the stream by increasing the smoothing window size. Keywords - Layered video streaming (LVS) - Layered video coding (LVC) - p2p networks - QoE - Smoothing -– scheduling - trade-offs. --------------------------------------------------------------------------------------------------------------------------------------- I.INTRODUCTION Many multimedia applications, such as videocasting and video-based entertainment services [2–4], rely on the efficient transmission of live or stored video. However, even when compressed, high-quality video can consume a significant amount of network bandwidth, ranging from 1–0megabits/second. In addition, compressed video often exhibits significant burstiness on a variety of time scales, due to the frame structure of the encoding scheme and natural variations within and between scenes [5–10]. The transmission can become even more bursty when one or more video sources are combined with text, audio, and images as part of an orchestrated multimedia stream. Previous work on bandwidth smoothing has focused on the three extremes of interactive and stored, online video. In interactive video applications, such as video teleconferencing, the sender typically has limited knowledge of frame sizes and must impose strict bounds on the delay to the client(s). As a result, smoothing for interactive video typically requires dynamic techniques that can react quickly to changes in frame sizes and the available buffer and bandwidth resources.Layered video streaming has emerged for multimedia content in p2p networks where as client heterogeneity of layered video coding handled by user and supportable for group of users. With layered video coding the original video is partitioned into several layers (i.e.) multiple layers & transmitted independently. This mechanism allows the users to get all layers of the video with maximum quality when there is a higher capacity of peers and the lower capacity will get lower quality of video. To support layered video streaming in p2p networks we use three essential components, they are content delivery, content adaptation and overlay construction. In content delivery the user will request and transport the content chunks. In content adaptation the user will have the ability to maintain the client heterogeneity. In overlay construction the user will retrieve the contents from appropriate neighbor. The most important challenges are fluctuation in available bandwidth between peers, when there is a sufficient bandwidth available then maximal video quality delivery is available to the user. If the bandwidth is only available for brief period, soon it will be forced to fall back to select lower quality layers which lead fluctuation in user QoE. So we propose a new mechanism called play out smoothing mechanism, balances the aggressiveness in bandwidth and maintains stable user QoE. In non layered streaming there is no difference between high delivery ratio