Paper Info
Title
Pattern-based video coding with dynamic background modeling.
Abstract
The existing video coding standard H.264 could not provide expected rate-distortion (RD) performance for macroblocks (MBs) with both moving objects and static background and the MBs with uncovered background (previously occluded). The pattern-based video coding (PVC) technique partially addresses the first problem by separating and encoding moving area and skipping background area at block level using binary pattern templates. However, the existing PVC schemes could not outperform the H.264 with significant margin at high bit rates due to the least number of MBs classified using the pattern mode. Moreover, both H.264 and the PVC scheme could not provide the expected RD performance for the uncovered background areas due to the unavailability of the reference areas in the existing approaches. In this paper, we propose a new PVC technique which will use the most common frame in a scene (McFIS) as a reference frame to overcome the problems. Apart from the use of McFIS as a reference frame, we also introduce a content-dependent pattern generation strategy for better RD performance. The experimental results confirm the superiority of the proposed schemes in comparison with the existing PVC and the McFIS-based methods by achieving significant image quality gain at a wide range of bit rates.
Year
DOI
Venue
2013
10.1186/1687-6180-2013-138
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
Video coding, Virtual reference frame, Long-term reference frame, Uncovered background, Multiple reference frames
Reference frame,Computer vision,Binary pattern,Pattern generation,Computer science,Image quality,Coding (social sciences),Unavailability,Artificial intelligence,Motion estimation,Encoding (memory)
Journal
Volume
Issue
ISSN
2013
1
1687-6180
Citations 
PageRank 
References 
7
0.42
29
Authors
4
Name
Order
Citations
PageRank
Manoranjan Paul137286.59
Weisi Lin25366280.14
Chiew Tong Lau340635.82
Bu-Sung Lee42119140.18