Title | ||
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gBFlavor: a new tool for fast and automatic generation of generic bitstream syntax descriptions |
Abstract | ||
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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 |
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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 Deursen | 1 | 225 | 28.22 |
Wesley De Neve | 2 | 525 | 54.41 |
Davy De Schrijver | 3 | 124 | 17.67 |
Rik Van de Walle | 4 | 2040 | 238.28 |