KEYWORDS: Video, Video compression, Video processing, Computer programming, Retina, Photons, Visual process modeling, Signal processing, Satellites, Error analysis
This paper describes the theory and application of a perceptually-inspired video processing technology that was recently
incorporated into professional video encoders now being used by major cable, IPTV, satellite, and internet video service
providers. We will present data that show that this perceptual video processing (PVP) technology can improve video
compression efficiency by up to 50% for MPEG-2, H.264, and High Efficiency Video Coding (HEVC). The PVP
technology described in this paper works by forming predicted eye-tracking attractor maps that indicate how likely it
might be that a free viewing person would look at particular area of an image or video. We will introduce in this paper
the novel model and supporting theory used to calculate the eye-tracking attractor maps. We will show how the
underlying perceptual model was inspired by electrophysiological studies of the vertebrate retina, and will explain how
the model incorporates statistical expectations about natural scenes as well as a novel method for predicting error in
signal estimation tasks. Finally, we will describe how the eye-tracking attractor maps are created in real time and used
to modify video prior to encoding so that it is more compressible but not noticeably different than the original
unmodified video.
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