A compressed-domain spatio-temporal adaptation system for video delivery

ABSTRACT

In this demo, we present a working system that we have built for metadata-based compressed-domain spatio-temporal video adaptation of H.264/AVC videos. Our approach is in contrast to most existing approaches that do adaptation in a series of cascaded decode/re-encode procedures. We show that by applying compressed-domain operations, adaptation can be expedited for real-time application scenarios like news/sports broadcasting. Moreover, the system can be applied as a tool box for distributed adaptation within P2P video distribution applications to support heterogeneous devices.

References

1. ISO/IEC 21000-7:2004, Information Technology -- Multimedia Framework -- Part 7: Digital Item Adaptation.
2. {online}. http://www.w3.org/TR/xslt

Index Terms

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Computer vision problems

        • Video segmentation

      • Computer vision tasks

        • Video summarization

      • Image and video acquisition