US 11,736,699 B2
Perceptual quality assessment metric based content and viewer aware encoding
Abdul Rehman, Kitchener (CA); Zhou Wang, Waterloo (CA); Ahmed Badr, Waterloo (CA); Christopher Vytautas Olekas, Breslau (CA); Ian Wormsbecker, Baden (CA); Waqas Ahmed, London (GB); and Peter Olijnyk, Kitchener (CA)
Assigned to SSIMWAVE, Inc., Waterloo (CA)
Filed by SSIMWAVE INC., Waterloo (CA)
Filed on May 14, 2021, as Appl. No. 17/320,723.
Claims priority of provisional application 63/024,865, filed on May 14, 2020.
Prior Publication US 2021/0360260 A1, Nov. 18, 2021
Int. Cl. H04N 19/154 (2014.01); H04N 19/184 (2014.01); H04N 19/103 (2014.01); H04N 19/149 (2014.01)
CPC H04N 19/154 (2014.11) [H04N 19/103 (2014.11); H04N 19/149 (2014.11); H04N 19/184 (2014.11)] 42 Claims
OG exemplary drawing
 
1. A method for optimization of video encoding using perceptual quality assessment, comprising:
producing candidate encodes of a source video using a plurality of encoding configurations;
computing a source content quality-of-experience (QoE) score for the source video;
computing a perceptual quality metric for each of the candidate encodes;
determining an absolute QoE score for each of the candidate encodes from the perceptual quality metric adapted to the source content QoE score;
comparing the absolute QoE scores of the candidate encodes to determine a lowest bitrate encode that achieves a target QoE score; and
selecting the lowest bitrate encode that achieve the target QoE score as an optimized output video.