Robotics and Computer Vision Lab

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International Conference
2009.09.16 18:22

Shot detection combining Bayesian and structural information

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저 자 Seunghoon Han, In So Kweon
학 회 SPIE : Storage and Retrieval for Media Database 2001
논문일시(Year) 2001
논문일시(Month) 01
There are a number of shots in a video, each of which has boundary types, such as cut, fade, dissolve and wipe. Many
previous approaches can find the cut boundary without difficulty. However, most of them often produce false alarms for the
videos with large motions of camera and objects. We propose a shot boundary detection method combining Bayesian and
structural information. In the Bayesian approach, a probability distribution function models each transition type, e.g.,
normal, abrupt, gradual transition, and also models shot length. But inseparability between those distributions causes
unwanted results and degrades the precision. In this paper, we demonstrate that the shape of the filtered frame difference,
called the structural information, provides an important cue to distinguish fade and dissolve effects from cut effects and
gradual changes caused by motion of camera and objects. The proposed method has been tested for a few golf video
segments and shown good performances in detecting fade and dissolve effects as well as cut.

List of Articles
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40. COP: A new method for extracting edges and corners
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39. Cosegmentation as a Generalized Correspondence Problem -A Motion Model Driven Approach
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The 4th International Conference on Ubiquitous Robots and Ambient Intelligence(URAI) 2007 / 11
38. Euclidean Structure from Confocal Conics: Theory and Application to Camera Calibration
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Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006 / 07
37. Terrain Classification Using Texture Recognition for Autonomous Robot
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The 4th International Conference on Ubiquitous Robots and Ambient Intelligence(URAI) 2007 / 11
36. Simultaneous Plane Extraction and 2D Homography Estimation using Local Feature Transformations
Ouk Choi, Hyeongwoo Kim, In So Kweon
Asian Conference on Computer Vision 2007 / 11
35. Robust Feature Matching for Loop Closing and Localization
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34. Feature Matching for Loop Closing
Jungho Kim, In So Kweon
The 13th International Conference on Advanced Robotics 2007 / 08
» Shot detection combining Bayesian and structural information
Seunghoon Han, In So Kweon
SPIE : Storage and Retrieval for Media Database 2001 2001 / 01
32. Moving Object Segmentation Algorithm
Kukjin Yoon, In So Kweon
1st International Workshop on Human-friendly Welfare Robotic Systems (HWRS) 2000 / 01
31. Self-calibration using the linear projective reconstruction
Jongeun Ha, Jinyoung Yang, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2000 / 11
30. Bayesian Shot Detection using Structural Weighting
Seunghoon Han, In So Kweon
International Workshop on Machine Vision Applications (MVA) 2000 / 11
29. A novel image-based control-law for the visual servoing system
Jaeseung Cho, Howon Kim, In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2000 / 10
28. Robust Real-time Face Tracking Using Adaptive Color Model
Gijeong Jang, In So Kweon
International Symposium on Mechatronics and Intelligent Mechanical System for 21 Century (ISIM) 2000 / 10
27. Self-calibration algorithm under varying cameras using the linear
Jongeun Ha, In So Kweon
Asian Conference on Computer Vision (ACCV) 2000 / 01
26. Stereo Matching with Symmetric Cost Functions
Kukjin Yoon, In So Kweon
Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006 / 06
25. Correspondence Search in the Presence of Specular Highlights Using Specular-Free Two-Band Images
Kukjin Yoon, In So Kweon
Asian Conference on Computer Vision (ACCV) 2006 / 01
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