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» Detecting Irregularities in Images and in Video
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TCSV
2008
125views more  TCSV 2008»
13 years 8 months ago
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
H. Vajaria, S. Sarkar, R. Kasturi
ISWC
1998
IEEE
14 years 21 days ago
StartleCam: A Cybernetic Wearable Camera
StartleCam is a wearable video camera, computer, and sensing system, which enables the camera to be controlled via both conscious and preconscious events involving the wearer. Tra...
Jennifer Healey, Rosalind W. Picard
SIGCOMM
2009
ACM
14 years 3 months ago
VUPoints: collaborative sensing and video recording through mobile phones
Mobile phones are becoming a convergent platform for sensing, computation, and communication. This paper envisions VUPoints, a collaborative sensing and video-recording system tha...
Xuan Bao, Romit Roy Choudhury
IVC
2006
187views more  IVC 2006»
13 years 8 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Resource-adaptive multimedia analysis on stream mining systems
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
Deepak S. Turaga, Rong Yan, Olivier Verscheure, Br...