Planning for conjunctive goals
Artificial Intelligence
Complexity, decidability and undecidability results for domain-independent planning
Artificial Intelligence - Special volume on planning and scheduling
MPEG: A Technological Basis for Multimedia Applications
IEEE MultiMedia
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
An Extensible and Scalable Content Adaptation Pipeline Architecture to Support Heterogeneous Clients
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
A knowledge-based framework for multimedia adaptation
Applied Intelligence
The MPEG-21 Book
Multimedia Content Adaptation Modelled as a Constraints Matching Problem with Optimisation
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Generic Adaptation of Scalable Multimedia Resources
Generic Adaptation of Scalable Multimedia Resources
DCAF: An MPEG-21 Dynamic Content Adaptation Framework
Multimedia Tools and Applications
Multimedia Adaptation Decisions Modelled as Non-deterministic Operations
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Fast planning through planning graph analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
CAIN-21: An Extensible and Metadata-Driven Multimedia Adaptation Engine in the MPEG-21 Framework
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Backward-Chaining flexible planning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Optimal adaptation decision-taking for terminal and network quality-of-service
IEEE Transactions on Multimedia
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This paper proposes a novel combination of artificial intelligence planning and other techniques for improving decision-making in the context of multi-step multimedia content adaptation. In particular, it describes a method that allows decision-making (selecting the adaptation to perform) in situations where third-party pluggable multimedia conversion modules are involved and the multimedia adaptation planner does not know their exact adaptation capabilities. In this approach, the multimedia adaptation planner module is only responsible for a part of the required decisions; the pluggable modules make additional decisions based on different criteria. We demonstrate that partial decision-making is not only attainable, but also introduces advantages with respect to a system in which these conversion modules are not capable of providing additional decisions. This means that transferring decisions from the multi-step multimedia adaptation planner to the pluggable conversion modules increases the flexibility of the adaptation. Moreover, by allowing conversion modules to be only partially described, the range of problems that these modules can address increases, while significantly decreasing both the description length of the adaptation capabilities and the planning decision time. Finally, we specify the conditions under which knowing the partial adaptation capabilities of a set of conversion modules will be enough to compute a proper adaptation plan.