Share Email Print
cover

Proceedings Paper

Format-agnostic adaptation using the MPEG-21 DIA framework
Author(s): Debargha Mukherjee; Huisheng Wang; Amir Said; Sam J. Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Part 7 of MPEG-21 entitled Digital Item Adaptation (DIA), is an emerging metadata standard defining protocols and descriptions enabling content adaptation for a wide variety of networks and terminals, with attention to format-independent mechanisms. The descriptions standardized in DIA provide a standardized interface not only to a variety of format-specific adaptation engines, but also to format-independent adaptation engines for scalable bit-streams. A fully format-independent engine contains a decision-taking module operating in a media-type and context independent manner, cascaded with a bit-stream adaptation module that models the bit-stream adaptation process as an XML transformation operating on a high-level syntax description of the bit-stream, with parameters derived from decisions taken. In this paper, we describe the DIA descriptions and underlying mechanisms that enable such fully format-independent scalable bit-stream adaptation. Further, a new model-based, compact and lightweight transformation language for scalable bit-streams is described for use in the bit-stream adaptation module. Fully format-independent adaptation mechanisms lead to universal adaptation engines that substantially reduce adoption costs for new media types and formats because the same delivery and adaptation infrastructure can be used for different types of scalable media, including proprietary and encrypted content.

Paper Details

Date Published: 2 November 2004
PDF: 12 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.564440
Show Author Affiliations
Debargha Mukherjee, Hewlett-Packard Labs. (United States)
Huisheng Wang, Hewlett-Packard Labs. (United States)
Amir Said, Hewlett-Packard Labs. (United States)
Sam J. Liu, Hewlett-Packard Labs. (United States)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top