Summary: Optimal Quality Adaptation for MPEG­4
Fine­Grained Scalable Video
Taehyun Kim and Mostafa H. Ammar
Abstract--- Dynamic behavior of the Internet's transmission
resources makes it difficult to provide perceptually good quality
of streaming video. MPEG­4 Fine­Grained Scalable coding is
proposed to deal with this problem by distributing the data in
enhancement layers over a wide range of bit rates. However,
encoded video also exhibits significant data rate variability to
provide a consistent quality video. We are, therefore, faced with
the problem of trying to accommodate the mismatch between the
available bandwidth variability and the encoded video variability.
In this paper, we investigate quality adaptation of the layered
VBR video generated by MPEG­4 FGS. Our goal is to develop
a quality adaptation scheme that maximizes perceptual video
quality through minimizing quality variation while at the same
time increasing the usage of available bandwidth. We develop
an optimal adaptation scheme and an online heuristic based on
whether the network conditions are known a priori. Experimental
results show that the online heuristic as well as the optimal

Source: Ammar, Mostafa - College of Computing, Georgia Institute of Technology

Collections: Computer Technologies and Information Sciences