Design and analysis of dynamic Huffman codes
Journal of the ACM (JACM)
Fundamentals of digital image processing
Fundamentals of digital image processing
Vector quantization and signal compression
Vector quantization and signal compression
Adapting to network and client variability via on-demand dynamic distillation
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
Document image compression and analysis
Document image compression and analysis
Introduction to data compression
Introduction to data compression
Scalable compression and transmission of internet multicast video
Scalable compression and transmission of internet multicast video
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In this paper we propose a new approach to adaptation of content-based processing, media preparation and presentation. We address multimedia consumption terminals having a variable amount of resources. The proposed technique adapts the required service data contained within the multimedia to the abilities of the hybrid network elements and application requirements. In our approach the data representations are transformed and converted efficiently to reduce delivery requirements and to emphasize quality of service ratio. An experimental system is implemented in a distributed environment providing only low processing requirements from the data processing nodes. We perform media profiling based on cross-media translation to achieve an efficient scaling and fit the content with terminal capabilities. Our approach aims to build an intelligent content service infrastructure in a way that the servers, nodes, and terminals are aware of their capabilities along with the capabilities of their surroundings. We demonstrate with an example service with scalable multimedia delivery over hybrid network elements.