DocumentCode
2828482
Title
Framing through peripheral perception
Author
Clarkson, Brian ; Pentland, Alex
Volume
3
fYear
2000
fDate
2000
Firstpage
38
Abstract
Context is an essential line of information for systems that rely on real world inputs. However, it is frequently ignored because modeling context by definition requires modeling features outside of the chosen domain. We model context by using peripheral perception, which basically means non-attentional features. This naturally and intuitively defines what it means to model context. We give the results of two experiments in the domain of wearable sensors (camera and microphone)
Keywords
audio signal processing; hidden Markov models; pattern clustering; video signal processing; audio; context; framing; images; microphone; nonattentional features; peripheral perception; real world input; video camera; wearable sensors; Cameras; Computer peripherals; Computer vision; Context modeling; Face recognition; Hidden Markov models; Microphones; Speech recognition; Wearable computers; Wearable sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899278
Filename
899278
Link To Document