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Please use this identifier to cite or link to this item: http://hdl.handle.net/11133/989

Title: 画像のアフィン変換動き補償予測に関する検討
Other Titles: ガゾウ ノ アフィン ヘンカン ウゴキ ホショウ ヨソク ニカンスル ケントウ
A Study on Motion Compensated Prediction for Video Sequences based on Affine Transformation
Authors: 水野, 正吾
沢田, 克敏
MIZUNO, Shogo
SAWADA, Katsutoshi
Issue Date: 31-Mar-1996
Publisher: 愛知工業大学
Abstract: The motion compensated prediction is an essential technique for redundancy reduction coding of video sequences. This paper describes motion compensated prediction based on affine motion model where not only translation motion but also rotation and scaling motions are compensated. Computer simulation experiments using actual video sequences were carried out in order to clarify the relationship between affine parameters and coding performance. Prediction error entropy and affine parameter entropy were estimated for various parameter sets. The result have shown that half-pel translation is most effective for reduction of total coding entropy and that rotation and scaling are less effective compared with the translation.
URI: http://hdl.handle.net/11133/989
Appears in Collections:31号

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