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VideoM: Multi-Video Synopsis.

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저 자 Teng Li, Tao Mei, In So Kweon
학 회 In association with IEEE International Conference on Data Mining (ICDM2008)
논문일시(Year) 2008
논문일시(Month) 12
Conventional video representation methods focus predominantly on a single video, aiming at reducing the spacetime redundancy as much as possible, while this paper describes a novel approach to simultaneously presenting dynamics of multiple videos, aiming at a less intrusive viewing experience. Given a main video and multiple supplementary videos, the proposed approach automatically constructs a synthesized multi-video synopsis, called VideoM, by integrating the supplementary videos into the most suitable space-time portions within the main video. We formulate the problem of VideoM as a Maximum a Posterior (MAP) problem which maximizes the desired properties related to less intrusive viewing experience, i.e., informativeness, consistency, visual naturalness, and stability. This problem is solved by the Viterbi beam search algorithm to optimally find the suitable integration between the main video and supplementary videos.

List of Articles
94. A three-layered system architecture for behavior-based mobile robots
M. Watanabe, K. Onoguchi, In So Kweon, Y. Kuno
IEEE International Conference on Robotics and Automation (ICRA) 1992 / 05
93. Vision-based behaviors for indoor mobile robots
In So Kweon, K. Onoguchi, M. Watanabe, Y. Kuno
Information Processing Society of Japan Workshop on Computer Vision 1992 / 01
92. Vehicle control using target tracking
K. Onoguchi, M. Watanabe, In So Kweon, Y. Kuno
Information Processing Society of Japan Workshop on Computer Vision 1991 / 07
91. Extracting topographic terrain features for outdoor mobile robots
In So Kweon, T. Kanade
IEEE International Conference on Robotics and Automation (ICRA) 1991 / 04
90. Behavior-based mobile robot using multiple sensors
In So Kweon, M. Watanabe, K. Onoguchi, Y. Kuno
The 1st Korea-Japan Joint Conference on Computer Vision 1991 / 10
89. High resolution terrain map from multiple sensor data
In So Kweon, T. Kanade
IEEE International Workshop on Intelligent Robots and Systems (IROS) 1990 / 07
88. A mobile robot for lunar surface operations
Bares, In So Kweon, D. Wettegreen, W. Whittaker
NASA Conference on Space Telerobotics 1990 / 03
87. Methods for identifying footfall positions for a legged robot
Caillas, In So Kweon, E. Krotkov, M. Hebert
IEEE International Workshop on Intelligent Robots and Systems (IROS) 1989 / 09
86. Terrain mapping for a roving planetary explorer
M. Hebert, E. Krotkov, In So Kweon, T. Kanade
IEEE International Conference on Robotics and Automation (ICRA) 1989 / 05
85. First results in terrain mapping for a roving planetary explorer
E. Krotkov, M. Hebert, In So Kweon, T.Kanade
NASA Conference on Space Telerobotics 1989 / 01
84. Sensor fusion of range and reflectance data for outdoor scene analysis
In So Kweon, M. Hebert, T. Kanade
NASA Workshop on Space Operations, Automation, and Robotics 1988 / 07
83. Perception for rugged terrain
In So Kweon, M. Hebert, T. Kanade
SPIE International Symposium on Intelligent Robots and Computer Vision 1988 / 11
82. CMU sidewalk navigation system: A blackboard-based outdoor navigation system using sensor fusion with colored-range images
Y. Goto, K. Matsuzaki, In So Kweon, T. Obatake
Fall Joint Computer Conference (FJCC) 1986 / 11
81. Automatic Method for Closed Eye Correction
Jean-Charles Bazin, D.Q. Pham, In So Kweon, Kukjin Yoon
ICIP'09 2009 / 11
80. Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application
Jean-Charles Bazin, Kukjin Yoon, In So Kweon, C. Demonceaux, P. Vasseur
BMVC'09 2009 / 09
79. Contextual Decomposition of Multi-Label Images.
Teng Li, Tao Mei, Shuicheng Yan, In So Kweon, Chilwoo Lee
Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR2009) 2009 / 06
» VideoM: Multi-Video Synopsis.
Teng Li, Tao Mei, In So Kweon
In association with IEEE International Conference on Data Mining (ICDM2008) 2008 / 12
77. A Semantic Region Descriptor For Local Feature Based Image Categorization.
Teng Li, In So Kweon
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2008 / 03
76. Learning Optimal Compact Codebook for Efficient Object Categorization.
Teng Li, Tao Mei, In So Kweon
In IEEE 2008 Workshop on Application of Computer Vision (WACV) 2008 / 01
75. Graph-Based Robust Shape Matching for Robotic Application
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2009 / 05
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