A Consideration on Motion Compensation Prediction Efficiency using Image Models.

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  • 画像モデルを用いた動き補償フレーム間予測効率の検討
  • ガゾウ モデル オ モチイタ ウゴキ ホショウ フレームカン ヨソク コウリツ

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For digital video compression, motion-compensated interframe prediction is one of the most effective technique and many kinds of predictor have been studied. In this paper, we propose a method to calculate efficiency of the predictors. The method consists of image models and descriptions of the predictors. The image models are band-limited and sampled functions : step function and impulse. The descriptions of the predictors specify the way to construct predictive pixels. Three descriptions are introduced in this paper : simple prediction, half-pel prediction and average type prediction. The image models are processed according to the description and prediction efficiencies are derived as reciprocal of average prediction error. Theoretical results obtained by the proposed method are also compared to the results of computer simulation with a video sequence. The simulation results show good agreement.

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