Source Coding Alternatives for Video Transport Over Networks

Thursday, February 1, 2001 - 2:00pm - 3:00pm
Lind 400
Amy Reibman (AT&T Laboratories - Research)
We consider scalable video coding and multiple description video coding as alternatives for compressing video which is to be transported over a network. Each type of network and application has different requirements that are placed on the video system; hence each of the possible source coding methods is advantageous in different scenarios. The goal of this talk is threefold: first, to present a conceptual methodology for joint network and video optimization; second, to familiarize the audience with source coding alternatives for video, with a clear understanding of the advantages and disadvantages associated with each; and third, to begin to identify scenarios in which one alternative may be better than the others.

We begin by identifying a set of common parameters that begin to characterize how a generic network affects the video system. We then introduce the different options available for compressing video for networks, and indicate the trade-offs associated with each algorithm. Next, using some of the identified common parameters, we begin to identify scenarios in which each video coding algorithm may be advantageous.

Multiple description video coding may be advantageous when there is a high packet loss rate with little knowledge in the network as to the instantaneous loss rate, or when the loss pattern is a close approximation to the ideal multiple description channels. Scalable video coding has a range of attractive features, including easy rate adaptation and easy prioritization. However, existing algorithms may be too inefficient to provide advantages over one-layer coding in some applications.