Title
Macroblock-Based Progressive Fine Granularity Scalable Video Coding
Abstract
A novel highly efficient macroblock-based progressive fine granularity scalable (MBPFGS) video coding scheme that can optimally balance drifting errors and coding efficiency is proposed in this article. In order to improve coding efficiency, the existing PFGS video coding scheme uses a set of high-quality references to predict the enhancement layers. However, potential drifting errors may arise because high-quality references may not always be available at the decoder when channel bandwidth fluctuates. To solve this problem, we first analyze when drifting errors occur and how they will propagate. Then, an iterative model is established to estimate the drifting errors at the encoder. Meanwhile, three new INTER modes are proposed for the coding of macroblocks at the enhancement layers. One of these modes provides an effective and flexible method to reduce the drifting errors at low enhancement bit rates. Furthermore, we present a decision-making mechanism to select the proper coding mode for each macroblock at the enhancement layers. Experimental results show that the proposed techniques can dramatically reduce drifting errors at low enhancement bit rates, while significantly improving coding efficiency, up to 2.3 dB in average PSNR, compared with MPEG-4 FGS at moderate or high bit rates. (C) 2004 Wiley Periodicals, Inc.
Year
DOI
Venue
2003
10.1002/ima.10071
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Keywords
DocType
Volume
layer-based coding, bit-plane coding, fine granularity, scalability (FGS), progressive fine granularity scalability (PFGS), drifting error and reduction, INTER coding mode
Journal
13
Issue
ISSN
Citations 
6
0899-9457
3
PageRank 
References 
Authors
0.45
16
5
Name
Order
Citations
PageRank
Feng Wu13635295.09
Shipeng Li23902252.94
Xiao-Yan Sun3100085.94
B Zeng41374159.35
Ya-Qin Zhang53684320.41