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Structured Scalable Meta-formats (SSM) for Digital Item Adaptation

Mukherjee, Debargha; Said, Amir

HPL-2002-326

Keyword(s): scalable bit-streams; adaptation; transcoding; network; codec-independent; compressed domain; secure

Abstract: This paper motivates and develops an end-to-end methodology for representation and adaptation of arbitrary scalable content in a fully content non- specific manner. Scalable bit-streams are naturally organized in a symmetric multi-dimensional logical structure, and any adaptation is essentially a downward manipulation of this structure. Higher logical constructs are defined on top of this multi- tier structure to make the model more generally applicable to a variety of bit-streams involving rich media. The resultant composite model is referred to as the Structured Scalable Meta-format (SSM). Apart from the implicit bit-stream constraints that must be satisfied to make a scalable bit-stream SSM-compliant, two other elements that need to be formalized to build a complete adaptation and delivery infrastructure based on SSM are: a binary or XML description of the structure of the bit-stream resource and how it is to be manipulated to obtain various adapted versions; and a binary or XML specification of outbound constraints derived from capabilities and preferences of receiving terminals. By interpreting the descriptor and the constraint specifications, a universal adaptation engine can adapt the content appropriately to suit the specified needs and preferences of recipients, without knowledge of the specifics of the content, its encoding and/or encryption. With universal adaptation engines, different adaptation infrastructures are no longer needed for different types of scalable media. Notes: Copyright 2003 Society of Photo-Optical Instrumentation Engineers. This paper will be published in the Proceedings of the SPIE, vol. 5018, 2003 and presented at IS&T/SPIE's 15th Annual Symposium Electronic Imaging Science and Technology, Internet Imaging IV, 20-24 January 2003, Santa Clara, CA. and is made available with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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