Structured scalable meta-formats (SSM) for digital item application

Debargha Mukherjee; Amir Said

doi:10.1117/12.478426

10 January 2003 Structured Scalable Meta-formats (SSM) for Digital Item Adaptation

Debargha Mukherjee, Amir Said

Proceedings Volume 5018, Internet Imaging IV; (2003) https://doi.org/10.1117/12.478426
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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 of 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.

Citation Download Citation

Debargha Mukherjee and Amir Said "Structured Scalable Meta-formats (SSM) for Digital Item Adaptation", Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); https://doi.org/10.1117/12.478426

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