Multiple description coding for SNR scalable video transmission over unreliable networks

Roya Choupani,Mehmet Tolun,Stephan Wong

doi:10.1007/s11042-012-1150-9

Roya Choupani, Mehmet Tolun + Show 1 more

Open Access

https://doi.org/10.1007/s11042-012-1150-9

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Abstract

Streaming multimedia data on best-effort networks such as the Internet requires measures against bandwidth fluctuations and frame loss. Multiple Description Coding (MDC) methods are used to overcome the jitter and delay problems arising from frame losses by making the transmitted data more error resilient. Meanwhile, varying characteristics of receiving devices require adaptation of video data. Data transmission in multiple descriptions provides the feasibility of receiving it partially and hence having a scalable and adaptive video. In this paper, a new method based on integrating MDC and signal-to-noise ratio (SNR) scalable video coding algorithms is proposed. Our method introduces a transform on data to permit transmitting them using independent descriptions. Our results indicate that on average 1.71dB reduction in terms of Y-PSNR occurs if only one description is received.

Highlights

With the steady increase in the Internet access bandwidth, increasingly more applications utilize streaming audio and video contents [27]
Scalable Video Coding (SVC) schemes are intended to be a solution for the Internet heterogeneity and receiving devices diversity problem by encoding the data at the highest quality but enabling the receiver to utilize it partially depending on its screen, memory, or processing capabilities, or the available bandwidth [15, 19, 26]
The main drawback of the currently available scalable video coding methods is that they are not suitable for non-reliable environments with a high rate of frame loss or corruption. This problem stems from the fact that the SVC methods are based on the MotionCompensated Temporal Filtering (MCTF) scheme [11] where the frames are coded as the difference with a reference frame

Summary

Introduction

With the steady increase in the Internet access bandwidth, increasingly more applications utilize streaming audio and video contents [27]. The main drawback of the currently available scalable video coding methods is that they are not suitable for non-reliable environments with a high rate of frame loss or corruption. This problem stems from the fact that the SVC methods are based on the MotionCompensated Temporal Filtering (MCTF) scheme [11] where the frames are coded as the difference with a (generally prior) reference frame.

MDC-based video coding techniques

Our proposed method

Experimental results

Conclusion