Real-time communication for distributed vision processing based on imprecise computation model

H. Yoshimoto, D. Arita, R. I. Taniguchi

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

5 Citations (Scopus)

Abstract

In this paper we propose an efficient real-time communication mechanism for distributed vision processing. One of the biggest problems of distributed vision processing, as is the same as in other distributed systems, is how to reduce the overhead of communication among computation nodes. In vision processing, we have to deal with a lot of time varying variables, some of which are large in size, and, therefore, the efficiency of sending and receiving of those variables is essential. To solve the problem, we propose Accuracy-driven Memory architecture, whose key idea is based on imprecise computation model and predictive coding. Here, we will present the basic framework of Accuracy-driven Memory architecture and show its efficiency based on some simulation results.

Original languageEnglish
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128
Number of pages1
ISBN (Electronic)0769515738, 9780769515731
DOIs
Publication statusPublished - 2002
Event16th International Parallel and Distributed Processing Symposium, IPDPS 2002 - Ft. Lauderdale, United States
Duration: Apr 15 2002Apr 19 2002

Publication series

NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002

Other

Other16th International Parallel and Distributed Processing Symposium, IPDPS 2002
CountryUnited States
CityFt. Lauderdale
Period4/15/024/19/02

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Modelling and Simulation

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