Paper Info
Title
Rate distortion analysis of leaky prediction layered video coding using quantization noise modeling
Abstract
Unlike conventional layered scalable video coding, leaky prediction layered video coding (LPLC) introduces a leaky factor α, which takes on values in the range between 0 and 1, to partially include the enhancement layer in the motion compensation loop, hence obtaining a trade-off between coding efficiency and error resilience performance. In this paper, we use quantization noise modeling to theoretically analyze the rate distortion performance of LPLC. An alternative block diagram of LPLC is first developed, which significantly simplifies the theoretical analysis. Closed form expressions, as a function of the leaky factor, are derived for two scenarios, where drift error occurs in the enhancement layer and no drift occurs within the motion compensation loop. Theoretical results are evaluated with respect to the leaky factor, showing that a leaky factor of 0.4-0.6 is a good choice in terms of the overall rate distortion performance of LPLC.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1419419
ICIP
Keywords
Field
DocType
motion compensation,lplc,leaky prediction layered video coding,error resilience,rate distortion analysis,quantisation (signal),leaky factor,video coding,quantization noise modeling,prediction theory,rate distortion theory,motion compensation loop,scalable video coding,quantization noise
Expression (mathematics),Computer science,Motion compensation,Coding (social sciences),Artificial intelligence,Rate–distortion theory,Scalable Video Coding,Algorithmic efficiency,Pattern recognition,Algorithm,Speech recognition,Quantization (signal processing),Block diagram
Conference
Volume
ISSN
ISBN
2
1522-4880
0-7803-8554-3
Citations 
PageRank 
References 
9
0.67
6
Authors
4
Name
Order
Citations
PageRank
Yuxin Liu190.67
Josep Prades-nebot21349.59
Paul Salama3468.23
Edward J. Delp42321351.37