SAWACMMM'17: The 1st workshop on multi media applications within the South African context

Johan Du Preez, Riaan Wolhuter, Ben Herbst, Nicu Sebe, Vincent Oria

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

Abstract

The South African research community has strong individual interests in pattern recognition and machine learning, but to date has had limited interactions with the worldwide multimedia research community. In an attempt to redress this, this workshop aims to introduce a selection of South African researchers to the multimedia community, and expose the multimedia community to a range of multimedia-related work, primarily from South Africa. The theme to be presented will be broader than strict multimedia, but as far as the methodologies applied are concerned, investigations explored are relevant to real time practical problems encountered in multimedia. Many of the problems to be discussed are also particular to Southern Africa. The applications proposed for discussion vary from biological research to communications protocol optimisation and computer vision. More generally, the workshop will focus on probabalistic graphical models, a powerful modelling technique that we believe will be of great interest to the multimedia research community.

Original languageEnglish (US)
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages1965-1966
Number of pages2
ISBN (Electronic)9781450349062
DOIs
StatePublished - Oct 23 2017
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: Oct 23 2017Oct 27 2017

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Other

Other25th ACM International Conference on Multimedia, MM 2017
CountryUnited States
CityMountain View
Period10/23/1710/27/17

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Software

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