Title
A real-time content adaptation framework for exploiting ROI scalability in H.264/AVC
Abstract
In many application scenarios, the use of Regions of Interest (ROIs) within video sequences is a useful concept. It is shown in this paper how Flexible Macroblock Ordering (FMO), defined in H.264/AVC as an error resilience tool, can be used for the coding arbitrary-shaped ROIs. In order to exploit the coding of ROIs in an H.264/AVC bitstream, a description-driven content adaptation framework is introduced that is able to extract the ROIs of a given bitstream. The results of a series of tests indicate that the ROI extraction process significantly reduces the bit rate of the bitstreams and increases the decoding speed. In case of a fixed camera and a static background, the impact of this reduction on the visual quality of the video sequence is negligible. Regarding the adaptation framework itself, it is shown that in all cases, the framework operates in real time and that it is suited for streaming scenarios by design.
Year
DOI
Venue
2006
10.1007/11864349_40
ACIVS
Keywords
Field
DocType
real-time content adaptation framework,roi scalability,decoding speed,flexible macroblock ordering,bit rate,roi extraction process,adaptation framework,avc bitstream,description-driven content adaptation framework,coding arbitrary-shaped rois,application scenario,video sequence,real time,region of interest
Computer vision,Pattern recognition,Computer science,Image quality,Coding (social sciences),Artificial intelligence,Decoding methods,Bitstream,Flexible Macroblock Ordering,Content adaptation,Scalable Video Coding,Scalability
Conference
Volume
ISSN
ISBN
4179
0302-9743
3-540-44630-3
Citations 
PageRank 
References 
12
0.96
9
Authors
6
Name
Order
Citations
PageRank
Peter Lambert153867.24
Davy De Schrijver212417.67
Davy Van Deursen322528.22
Wesley De Neve452554.41
Yves Dhondt5996.80
Rik Van de Walle62040238.28