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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F08%3A03150858%21RIV09-MSM-21230___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (``Detection and Identification of Rare Audio-visual Cues'') we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it. An audio-visual platform (%22AWEAR%22 - audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panorami It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (``Detection and Identification of Rare Audio-visual Cues'') we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it. An audio-visual platform (%22AWEAR%22 - audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panorami It is of prime importance in everyday human life to cope with and respond appropriately to events that are not foreseen by prior experience. Machines to a large extent lack the ability to respond appropriately to such inputs. An important class of unexpected events is defined by incongruent combinations of inputs from different modalities and therefore multimodal information provides a crucial cue for the identification of such events, e.g., the sound of a voice is being heard while the person in the fieldof- view does not move her lips. In the project DIRAC (``Detection and Identification of Rare Audio-visual Cues'') we have been developing algorithmic approaches to the detection of such events, as well as an experimental hardware platform to test it. An audio-visual platform (%22AWEAR%22 - audio-visual wearable device) has been constructed with the goal to help users with disabilities or a high cognitive load to deal with unexpected events. Key hardware components include stereo panorami
dcterms:title
The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events
skos:prefLabel
The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events
skos:notation
RIV/68407700:21230/08:03150858!RIV09-MSM-21230___
n3:aktivita
n20:R
n3:aktivity
R
n3:dodaniDat
n13:2009
n3:domaciTvurceVysledku
n15:1027832 n15:5043476 n15:6245269
n3:druhVysledku
n9:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
363721
n3:idVysledku
RIV/68407700:21230/08:03150858
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Audio-Visual Event Detection; Augmented Cognition; Multimodal Interaction; Sensor Platform
n3:klicoveSlovo
n12:Multimodal%20Interaction n12:Audio-Visual%20Event%20Detection n12:Augmented%20Cognition n12:Sensor%20Platform
n3:kontrolniKodProRIV
[1CDB5ACE5453]
n3:mistoKonaniAkce
Chania, Crete
n3:mistoVydani
New York
n3:nazevZdroje
ICMI 2008: Proceedings of the 10th International Conference on Multimodal Interfaces
n3:obor
n18:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
14
n3:rokUplatneniVysledku
n13:2008
n3:tvurceVysledku
Anemüller, J. Motlicek, P. Zweig, A. Torii, Akihiko Pajdla, Tomáš Kayser, H. Havlena, Michal Pavel, M. Jie, L. Bach, J. Leibe, B. Hermansky, H. Van Gool, L. Caputo, B.
n3:typAkce
n10:WRD
n3:zahajeniAkce
2008-10-20+02:00
s:numberOfPages
4
n19:hasPublisher
ACM
n8:isbn
978-1-60558-198-9
n6:organizacniJednotka
21230