Optimal adaptation decision-taking for terminal and network quality-of-service

In order to cater to the diversity of terminals and networks, efficient, and flexible adaptation of multimedia content in the delivery path to end consumers is required. To this end, it is necessary to associate the content with metadata that provides the relationship between feasible adaptation cho...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2005-06, Vol.7 (3), p.454-462
Main Authors: Mukherjee, D., Delfosse, E., Jae-Gon Kim, Yong Wang
Format: Article
Language:English
Subjects:
Adaptation
Computational efficiency
decision-taking
digital item adaptation
Engines
Image converters
Image resolution
Laboratories
Media
Metadata
Microelectronics
MPEG-21
Multimedia
Multimedia systems
Networks
Quality of service
rate shaping
requantization
scalable bit-streams
Specifications
Studies
terminal and network constraints
Terminals
Throughput
Transcoding
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Summary:In order to cater to the diversity of terminals and networks, efficient, and flexible adaptation of multimedia content in the delivery path to end consumers is required. To this end, it is necessary to associate the content with metadata that provides the relationship between feasible adaptation choices and various media characteristics obtained as a function of these choices. Furthermore, adaptation is driven by specification of terminal, network, user preference or rights based constraints on media characteristics that are to be satisfied by the adaptation process. Using the metadata and the constraint specification, an adaptation engine can take an appropriate decision for adaptation, efficiently and flexibly. MPEG-21 Part 7 entitled Digital Item Adaptation standardizes among other things the metadata and constraint specifications that act as interfaces to the decision-taking component of an adaptation engine. This paper presents the concepts behind these tools in the standard, shows universal methods based on pattern search to process the information in the tools to make decisions, and presents some adaptation use cases where these tools can be used.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2005.846798