| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 99 === An adaptive auto-regressive model is proposed in this thesis for frame rate up-conversion. In conventional AR model, each pixel in the to-be-interpolated frame is modeled as a linear combination of temporal neighborhood, spatial neighborhood, or joint temporal-spatial neighborhood pixels. This thesis proposed a temporal AR model (called TAR) utilizing temporal neighborhood; and a spatial AR model (called SAR) utilizing spatial neighborhood. Besides that this thesis also proposed a scheme which selects TAR or SAR adaptively according to motion information in the video sequence. By selecting appropriate AR model, unnecessary variables can be eliminated from regression process. Compared to STAR model [2] which utilizes joint temporal-spatial neighborhood for each pixel, computational cost can be greatly reduced with the proposed method. In addition, the experiment results show that visual quality can also be improved by adaptively adopting appropriate AR models for frame interpolation. The results demonstrate the superiority of the proposed method in regarding to improved visual quality and reduced computational cost.
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