Frame rate up-conversion using region-based optical flow

• Autorzy: Sakchaicharoenkul T.
• Konferencja: International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

Frame rate up-conversion is widely used for converting between the standards and increasing the frame rate of low bit rate compression video conferences. The raster-based animation tweening algorithm can not be directly applied with frame rate up-conversion, because the crucial procedure of the algorithm, the mean shift-based image segmentation method, can not handle complex characteristics of a real world video image. In some case, the background and foreground may be merged into one segment. In this work, a synergistic image segmentation method is used according to the particular needs of a real world video image. The experimental results illustrate that higher quality in-between frames can be obtained by the proposed algorithm.

Słowa kluczowe

EN

image processing; computer vision

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2006
• Tom: Vol. 15, No. 3/4
• Strony: 599--606
• Opis fizyczny: Bibliogr. 8 poz., il., rys., tab.

Twórcy

autor

Sakchaicharoenkul T.

• Departament of Computer Science, Faculty of Science and Technology, Thammasat University Klong Luang, Pathumthani 12121, Thailand,

Bibliografia

• [1] Bouguet J. Y.: Pyramidal implementation of the lucas kanade feature trackerdescription of the algorithm. OpenCV Documents, 1999.
• [2] Comanicu D., Meer P.: Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell., pages 603-619, 2002.
• [3] Christoudias C., Georgescu B., Meer P.: Synergism in low-level vision. Proceedings of 16th International Conference on Pattern Recognition, pages 150-155, Quebec City, Canada, 2002.
• [4] Wong K. Y., Spetsakis M. E.: Motion segmentation and tracking. Proceedings of 15th International Conference on Vision Interface, pages 80-87, Calgary, Canada, 2002.
• [5] Wong K. Y., Spetsakis M. E.: Tracking, segmentation and optical flow. Proceedings of 16th International Conference on Vision Interface, pages 57-64, Halifax, Canada, 2003.
• [6] Sakchaicharoenkul T.: Hybrid quadratic flow/optical flow mcfi-based animation tweening algorithm. Proceedings of 10th International Conference on Virtual System and Multimedia, Gifu, Japan, 2004.
• [7] Sakchaicharoenkul T.: Combined quadratic flow/optical flow mcfibased animation tweening algorithm. Proceedings of Computer Vision/Computer Graphics Collaboration Techniques and Applications, INRIA Rocquencourt, Prance, 2005.
• [8] Sakchaicharoenkul T.: 2D parametric motion flow/optical flow MCFI-based animation tweening algorithm. MGV, 15(1), pp. 29-49, 2006.