Efficient, robust, and fast global motion estimation for video coding
By Frédéric Dufaux, Janusz Konrad. IEEE Transactions on Image Processing, 2000
365 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/a0c422e21d7f7063b51a13deed607e116c859eca
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In Computer Vision and Pattern Recognition
In Signal Processing
Citations in the corpus
- Unsupervised convolutional neural networks for motion estimation (2016, background): “Motion fields, that is fields that describe how pixels move from a reference to a target frame, are rich source of information for the analysis of image sequences and beneficial for several applications such as video coding [1, 2], medical image processing [3, 4, 5], segmentation [6] and human actio”
- Digital Video Transcoding (2005, methodology): “Direct GME methods operate in the pixel-domain [61], [62].”