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Adaptation Use Cases for Structured Scalable Meta- formats (SSM) Version 2.0
Mukherjee, Dehargha; Kuo, Geraldine; Hsiang, Shih-ta; Said, Amir
Keyword(s): structured; scalable; adaptation engine; format- independent; content-agnostic
Abstract: Recently, an end-to-end framework called SSM, for fully content agnostic adaptation of scalable bit- streams or certain non-scalable bit-streams operating in scalable modes, has been proposed. SSM develops metadata to describe a scalable bit-stream in terms of adaptations that can be conducted on it to obtain lower versions, and also allows recipients to specify usage environment constraints based on which a piece of content is to be adapted by a network adaptation engine. Based on this framework, a fully format agnostic universal adaptation engine software has been developed. In this report, we present adaptation use cases involving several different standard and non-standard bit-stream formats (MPEG-4, JPEG2000, MC- EZBC), and show how the universal adaptation engine adapts them. The SSM schema and software versions considered is 2.0.
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