DocumentCode :
3094933
Title :
Keynote Abstracts
Author :
Van der Schaar, Mihaela ; Shah, Mubarak ; Hujun Bao
Author_Institution :
Electr. Eng. Dept., Univ. of California Los Angeles, Los Angeles, CA, USA
fYear :
2011
fDate :
12-15 Aug. 2011
Abstract :
These keynote speeches discuss the following: Finding it Now: Stream Mining in Real Time; Patterns of Motion: Discovery and Generalized Representation; and 3D Structure Reconstruction from Videos.
Keywords :
computer vision; data mining; image motion analysis; image reconstruction; image representation; image sequences; media streaming; multimedia computing; tracking; video signal processing; 3D reconstruction; 3D scene structure; 3D structure reconstruction; K-means; action recognition; anomaly detection; articulated human actions; automatic camera tracking system; bundle optimization framework; camera motion recovery; classifier topology; computer vision; data streams; dense crowded motion; event recognition; foreground detection; generalised motion pattern representation; hierarchical flow vector clustering; high-quality depth map recovery; image noise; loop-back; mixed reality; mixture model representation; motion pattern discovery; moving cameras; multimedia data; multiple sequences; multivariate nonparametric probability density function; nonconsecutive feature tracking method; object motion; occlusions; optical flow; outliers; persistent object labeling; real-time multimedia stream mining; reconstruction drift problem; scene activity learning; scene activity modelling; semantic computing; spatio-temporal affinity based constraints; spatio-temporal variables; static cameras; statistical frameworks; stereo reconstruction; stream computing; temporal consistent object boundaries; tracking; user interfaces; video editing; video segmentation; video sequences; videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Type :
conf
DOI :
10.1109/ICIG.2011.9
Filename :
6005639
Link To Document :
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