Multimedia data analysis on a massively distributed parallelization network of Anonymous Web Clients

Jeremy Hall, Shuichi Kurabayashi, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an architecture for forming a parallelization network composed of anonymous web clients - those users anonymously browsing a website. This architecture is layered on conventional HTTP-based web applications to organize their clients as computing nodes in a massively distributed computation. The key technology of this architecture is a dynamic installation mechanism for a media analysis module, and a dual-channel communications protocol established between Anonymous Web Clients and servers in order to distribute work, and to retrieve the computing results. The important feature of this architecture is that the clients are kept anonymous to the server, so the server does not have to keep track of clients' status. This stateless communication architecture enables scalable expansion of the parallelization network's computing power without relying upon a centralized data center. In effect, this allows a web-based video sharing service to offload some of its analysis onto users browsing the site, in the background, without interrupting a user's browsing experience. This paper also demonstrates an important optimization for performing media analysis within the parallelization network, which takes advantage of video inter and intra-frame pixel color homogeneity. This paper shows several experimental results for clarifying the system's feasibility and effectiveness, by using a prototype system implementation.

Original languageEnglish
Title of host publication24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010
Pages615-620
Number of pages6
DOIs
Publication statusPublished - 2010 Jul 26
Event24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010 - Perth, Australia
Duration: 2010 Apr 202010 Apr 23

Publication series

Name24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

Other

Other24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010
CountryAustralia
CityPerth
Period10/4/2010/4/23

Keywords

  • Content-based multimedia retrieval
  • Distributed computing
  • Multimedia data analysis
  • Parallelized computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Hall, J., Kurabayashi, S., & Kiyoki, Y. (2010). Multimedia data analysis on a massively distributed parallelization network of Anonymous Web Clients. In 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010 (pp. 615-620). [5480329] (24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010). https://doi.org/10.1109/WAINA.2010.132