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Video Communication Final Project – Motion Estimation

Video Communication Final Project – Motion Estimation. Advisor: 葉家宏 老師 Presenter: 陳威佑 2011/1/13 (Thu.). Outline. Project processing Motion vector analysis Proposed algorithm Experiment results PSNR v.s . frame number curve Demo Conclusion. Project Processing.

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Video Communication Final Project – Motion Estimation

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  1. Video CommunicationFinal Project – Motion Estimation Advisor: 葉家宏 老師 Presenter: 陳威佑 2011/1/13 (Thu.)

  2. Outline • Project processing • Motion vector analysis • Proposed algorithm • Experiment results • PSNR v.s. frame number curve • Demo • Conclusion

  3. Project Processing • Implement motion estimation • Full search, three step search • Design motion estimation by myself • Get balance between quality and complexity • Compare to full search and three step search

  4. Motion Vector Analysis • Statistics

  5. Motion Vector Analysis Football.qcif Akiyo.qcif A rhombus Stefan.qcif Foreman.qcif

  6. Proposed Algorithm

  7. ProposedAlgorithm

  8. ProposedAlgorithm

  9. ProposedAlgorithm

  10. ProposedAlgorithm

  11. ProposedAlgorithm

  12. ProposedAlgorithm

  13. ProposedAlgorithm

  14. ProposedAlgorithm

  15. ProposedAlgorithm

  16. ProposedAlgorithm

  17. ProposedAlgorithm

  18. ProposedAlgorithm

  19. ProposedAlgorithm

  20. ProposedAlgorithm

  21. ProposedAlgorithm

  22. ProposedAlgorithm

  23. ProposedAlgorithm

  24. Experiment Results PSNR(dB) Time(sec)

  25. PSNR v.s. Frame Number Curve • Akiyo.qcif

  26. PSNR v.s. Frame Number Curve • Football.qcif

  27. PSNR v.s. Frame Number Curve • Foreman.qcif

  28. Demo • Akiyo.qcif Original Proposed

  29. Demo • Football.qcif Original Proposed

  30. Demo • Foreman.qcif Original Proposed

  31. Conclusion • Sequences with higher motion have worse performance. In contrast, sequences with lower motion have better performance • To enhance the performance, maybe I can change the shape of the first step of searching

  32. Thanks for Your Attendance

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