{"title":"Motion compensated video sequence interpolation using digital image warping","authors":"J. Nieweglowski, Timo Moisala, P. Haavisto","doi":"10.1109/ICASSP.1994.389496","DOIUrl":null,"url":null,"abstract":"A new method for temporal interpolation of video sequences is proposed. For each pair of original frames a new frame is created by averaging frames obtained by motion compensated warping of original frames. The parameters of the geometrical transformation applied to original frames are determined by the motion in the sequence. The advantage of the proposed method is that it can compensate for various motion types such as translations, rotations, and scaling. The primary application of the presented algorithm is the frame interpolation of video sequences coded at very low bitrates where the warping scheme ran also he used for motion compensated prediction. In that case the decoder does not have to perform motion estimation but can use motion vectors from encoder for frame interpolation.<<ETX>>","PeriodicalId":290798,"journal":{"name":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1994.389496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
A new method for temporal interpolation of video sequences is proposed. For each pair of original frames a new frame is created by averaging frames obtained by motion compensated warping of original frames. The parameters of the geometrical transformation applied to original frames are determined by the motion in the sequence. The advantage of the proposed method is that it can compensate for various motion types such as translations, rotations, and scaling. The primary application of the presented algorithm is the frame interpolation of video sequences coded at very low bitrates where the warping scheme ran also he used for motion compensated prediction. In that case the decoder does not have to perform motion estimation but can use motion vectors from encoder for frame interpolation.<>