Title
gBFlavor: a new tool for fast and automatic generation of generic bitstream syntax descriptions
Abstract
The efficient adaptation of scalable media resources is a major point of interest, due to today's tremendous heterogeneity in terms of end-user terminals, network technologies, and coding formats. In order to create a media resource adaptation engine supporting current and future coding formats, a generic (i.e., format-independent) solution is needed. One way to realize this goal is to rely on automatically created textual descriptions of the high-level syntax of binary media resources. MPEG-21 generic Bitstream Syntax Schema (gBS Schema) is a tool that is part of the MPEG-21 Multimedia Framework. It enables the use of generic Bitstream Syntax Descriptions (gBSDs), i.e., textual descriptions in XML, to steer the adaptation of a binary media resource, using format-independent adaptation logic. The major contribution of this paper is the introduction of gBFlavor. It is a novel solution for the automatic and format-agnostic generation of gBSDs. gBFlavor offers the possibility to automatically create a format-specific parser that is able to produce a gBSD, taking as input a particular media resource compliant to the coding format described by the parser. This paper provides an overview of the gBFlavor language, which allows describing the high-level structure of a coding format. The overall functioning of a gBFlavor-enabled adaptation framework is discussed as well. Performance results for two scalable coding formats, in particular H.264/AVC Scalable Video Coding and JPEG2000, show that our proposed solution outperforms existing techniques in terms of execution speed.
Year
DOI
Venue
2008
10.1007/s11042-008-0214-3
Multimedia Tools Appl.
Keywords
Field
DocType
Automatic code generation,Bitstream syntax descriptions,Description-driven content adaptation,MPEG-21 gBS Schema,Scalable video coding
Programming language,Computer science,Coding (social sciences),Theoretical computer science,Multimedia framework,Artificial intelligence,Scalable Video Coding,Computer vision,MPEG-21,XML,Parsing,Bitstream,Scalability
Journal
Volume
Issue
ISSN
40
3
1380-7501
Citations 
PageRank 
References 
1
0.37
21
Authors
4
Name
Order
Citations
PageRank
Davy Van Deursen122528.22
Wesley De Neve252554.41
Davy De Schrijver312417.67
Rik Van de Walle42040238.28