Abstract
A growing need for high-quality video frame rate conversion methods exists, such as those offered by motion-compensated frame interpolation (MCFI). However, with MCFI inaccurate motion trajectories may cause visible artifacts. An advanced MCFI-based frame rate converter has been developed that uses image segmentation, object-based motion field processing, and a method for measuring motion reliability. It is able to accurately estimate true motion trajectories and process motion occlusion well, producing high-quality frames with smooth motion. In this paper, the methods, algorithms, and techniques used in this advanced frame rate converter are first described. Then, objective and subjective performance comparisons are conducted between the proposed frame rate converter and four other frame rate converters.
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