Systems challenges of media collectives supporting media collectives with adaptive MDC

  • Authors:
  • Ketan Mayer-Patel

  • Affiliations:
  • University of North Carolina: Chapel Hill, Chapel Hill, NC

  • Venue:
  • Proceedings of the 15th international conference on Multimedia
  • Year:
  • 2007

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Abstract

With the rise of social networking as an on-line paradigm, we are also witnessing the birth of unstructured, unmanaged, "media collectives" in which hundreds, thousands, or even millions of users create, share, tag, link, and reuse media objects (i.e., pictures, audio, and video). The level of redundancy and repurposing within these collectives is reasonably high. For example, the same video clip (or portions of it) may appear in a variety of different contexts and formats. This redundancy and diversity serve to preserve popular media objects in a completely decentralized and unmanaged manner as a result of individuals optimizing for their own interests and goals. On the other end of the spectrum, however, is a long heavy-tail of media objects which may in fact be the only copy of its kind in the entire world. This paper addresses some of the systems issues which may be at play in dealing with such an extremely bimodal distribution and speculates that there may be opportunities to leverage these media collectives while preserving the autonomy of individual users in order to increase efficient use of networking and storage resources as well as providing richer capabilities to those who participate. The main idea behind our approach is to view adaptation through the lens of multiple description coding in order to expose coding structure and compactly specify how different versions of the same media object relate to each other.