Title :
Temporal visual masking for HEVC/H.265 perceptual optimization
Author :
Adzic, Velibor ; Kalva, Hari ; Furht, B.
Author_Institution :
Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
Abstract :
We present a method that employs human visual system characteristics for perceptually lossless optimization of video coding. Algorithm is robust and applicable for any modern hybrid coder. We decided to evaluate it using the most recent standard (HEVC/H.265) in order to show potential benefits for future applications. Experiments show savings of up to 8% in bitrate without any loss in quality as confirmed by two sets of subjective experiments using DSCQS and ACJ methodology.
Keywords :
data compression; video codecs; video coding; ACJ methodology; DSCQS; HEVC-H.265 perceptual optimization; human visual system characteristics; hybrid coder; perceptually lossless optimization; temporal visual masking; video coding; Bit rate; Motion pictures; Optimization; Quantization (signal); Video coding; Video sequences; Visualization; H.265; HEVC; HVS; perceptual video; subjective quality;
Conference_Titel :
Picture Coding Symposium (PCS), 2013
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0292-7
DOI :
10.1109/PCS.2013.6737775