Video Processing and Communications

By Yao Wang, Yaqian Zhang, Jörn Ostermann. 2001

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Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain (2009, background): “For two motion vectors which have the same magnitudebutdifferentdirections,theywillcausedifferenttemporal effects on a 2-D spatial frequency [ 25 ].”
k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI (2009, unknown): “ρ = ρ̄ + FH (F FH + λI)−1(υ − Fρ̄), [24]”
Distributed Video Coding (2005, methodology): “…VIDEO ENCODING Implementations of current video compression standards, such as the ISO MPEG schemes or the ITU-T recommendations H.263 and H.264 [56], [57] require much more computation for the encoder than for the decoder; typically the encoder is 5–10 times more complex than the decoder.”
Video Object Segmentation without Temporal Information (2017, background): “The illusion of motion pictures is due to the persistence of human vision [23], [65], [71]: the fact that it cannot perceive very high frequency changes [71] because of the temporal integration of incoming light into the retina [65].”
Low-Complexity Transcoding of JPEG Images With Near-Optimal Quality Using a Predictive Quality Factor and Scaling Parameters (2010, methodology): “Finding the set of parameters leading to optimal quality in the OQJT system can be compared to the search for optimal motion vectors performed in video coding [23].”