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MCFI-based animation tweening algorithm for 2D parametric motion flow/optical flow

Sakchaicharoenkul T.

Machine Graphics and Vision

2006

Vol. 15, No. 1

29-49

In hand drawn animation, some of the animations are created at very low frame rates (12 frames per second) because of a limited budget. A simple technique for increasing frame rates is animation tweening. In fact, most animation tweening applications process only vector-based objects. Further, there is no algorithm which can automatically define extensive modelling and animation of 3D objects for the animation tweening process. In this work, a raster-based animation tweening algorithm which does not require extensive modelling and animation of 3D objects is presented. The algorithm is based on motion-compensated frame rate up-conversion (MC-FRC), whose performance depends heavily on motion estimation (ME). A more accurate flow field, which is a combination of 2D parametric motion flow field and optical flow field, is developed. The results obtained for various types of hand drawn animation scenes are illustrated. The experimental results show that higher quality in-between frames can be obtained by the proposed algorithm.

Frame rate up-conversion using region-based optical flow

Sakchaicharoenkul T.

Machine Graphics and Vision

2006

Vol. 15, No. 3/4

599-606

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.