Title :
Perceptual Video Compression: A Survey
Author :
Lee, Jong-Seok ; Ebrahimi, Touradj
Author_Institution :
Sch. of Integrated Technol., Yonsei Univ., Incheon, South Korea
Abstract :
With the advances in understanding perceptual properties of the human visual system and constructing their computational models, efforts toward incorporating human perceptual mechanisms in video compression to achieve maximal perceptual quality have received great attention. This paper thoroughly reviews the recent advances of perceptual video compression mainly in terms of the three major components, namely, perceptual model definition, implementation of coding, and performance evaluation. Furthermore, open research issues and challenges are discussed in order to provide perspectives for future research trends.
Keywords :
data compression; video coding; coding; computational model; human visual system; maximal perceptual quality; perceptual video compression; performance evaluation; Encoding; Humans; Image coding; PSNR; Transform coding; Video coding; Video compression; Coding efficiency; focus of attention; human visual system; perceptual video compression; quality of experience (QoE); region of interest; visual perception;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2012.2215006