Shot detection using image subtraction and histogram

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Shot detection using image subtraction and histogram

  1. 1. Tran Quang Anh Tran Thuong Khanh Bui Ngo Da Thao Pham The BaoFaculty of Mathematics and Computer Science University of Science, VNUHCM
  2. 2.  Introduction Our solution Result Conclusion
  3. 3. Shot A Shot Shot B boundary
  4. 4.  Using histogram ◦ Temporal color variation [1]  Using Non-histogram ◦ Feature point [2]1. Jordi Mas, GarielFrenadez,Video shot boundary detection based on color histogram, Proceedings of the TRECVid Workshop, Gaithersburg, Maryland USA, 20032. Yousri Abdeljaoued, Touradj Ebrahimi, Charilaos Christopoulos2and Ignacio Mas Ivars, Proceeding of European Signal Processing Conference 1998
  5. 5. Frame A Image One shot subtractionFrame A+b Two shots Histogram Comparison
  6. 6. Frame A Frame B Result Image
  7. 7. Histogram of frame A Histogram of frame B
  8. 8. We test base on database volume : 250GB include many kinds of videoComputer configuration : Core 2 Duo 2.2GHz , 3GB Ram, Win 7.Pro withMatlab version 2009Ra Database Number of Time Correct ratio Incorrect frames ratio 250GB 60 342 857 1462857s 61% 39% frames
  9. 9. Fast and simple solution High accuracy with abrupt detection and some dissolve shot detections.Having some error in dissolve detection .Having false shot.
  10. 10.  Improving redundant detection. Building new methods

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