Emotion Recognition In The Wild Challenge 2013

Simple item page
dc.contributor.authorDhall, Abhinav
dc.contributor.authorGoecke, Roland
dc.contributor.authorJoshi, Jyoti
dc.contributor.authorWagner, Michael
dc.contributor.authorGedeon, Tamas (Tom)
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-10T23:19:01Z
dc.date.createdDecember 9-13 2013
dc.date.issued2013
dc.date.updated2015-12-10T10:11:28Z
dc.description.abstractEmotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Tradit
dc.identifier.isbn9781450320337
dc.identifier.urihttp://hdl.handle.net/1885/65881
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofseries2013 ACM International Conference on Multimodal Interaction (ICMI)
dc.sourceEmotion Recognition In The Wild Challenge 2013
dc.titleEmotion Recognition In The Wild Challenge 2013
dc.typeConference paper
local.bibliographicCitation.lastpage7
local.bibliographicCitation.startpage1
local.contributor.affiliationDhall, Abhinav, College of Engineering and Computer Science, ANU
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.contributor.affiliationJoshi, Jyoti, University of Canberra
local.contributor.affiliationWagner, Michael, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.authoruidDhall, Abhinav, u4577817
local.contributor.authoruidGoecke, Roland, u9812468
local.contributor.authoruidWagner, Michael, u4593164
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1177
local.identifier.doi10.1145/2522848.2531739
local.identifier.scopusID2-s2.0-84892591989
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Dhall_Emotion_Recognition_In_The_2013.pdf
Size:
1.03 MB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS