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» Video Object Segmentation Using Graphs
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PREMI
2007
Springer
14 years 3 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
TMM
2010
253views Management» more  TMM 2010»
13 years 3 months ago
Multi-View Video Summarization
Previous video summarization studies focused on monocular videos, and the results would not be good if they were applied to multi-view videos directly, due to problems such as the ...
Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuan...
ICIP
2002
IEEE
14 years 10 months ago
Perceived quality metrics for low bit rate compressed video
This paper presents an objective metric for the perceived quality of low bit rate compressed video. Frames are decomposed into several frequency bands at multiple scales and a mot...
Mark Masry, Sheila S. Hemami
PAMI
2007
196views more  PAMI 2007»
13 years 8 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
AVSS
2008
IEEE
13 years 11 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels