US 12,445,696 B2
Psycho-visual-model based video watermark gain adaptation
Patrick George Downes, San Diego, CA (US); Rade Petrovic, San Diego, CA (US); and Jian Zhao, San Diego, CA (US)
Appl. No. 18/246,331
Filed by Verance Corporation, San Diego, CA (US)
PCT Filed Sep. 23, 2021, PCT No. PCT/US2021/051843
§ 371(c)(1), (2) Date Mar. 22, 2023,
PCT Pub. No. WO2022/066974, PCT Pub. Date Mar. 31, 2022.
Claims priority of provisional application 63/081,917, filed on Sep. 23, 2020.
Prior Publication US 2023/0396859 A1, Dec. 7, 2023
Int. Cl. H04N 21/8358 (2011.01); G06T 1/00 (2006.01); G06V 10/60 (2022.01)
CPC H04N 21/8358 (2013.01) [G06T 1/0028 (2013.01); G06T 1/005 (2013.01); G06V 10/60 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
determining areas of poor visual quality in a video content that may be the result of watermark embedding by analyzing the luma values of pixels of the video content immediately below a particular watermark symbol to derive a brightness parameter that represents the perceptual brightness of the surrounding video content;
determining watermark robustness requirements;
embedding the video content with a watermark including watermark symbols, wherein the watermark symbols replace pixels in the video content with pixels in which luma values are modulated such that the luma value for a 0 bit (“Bit0”) renders as black and the luma value for a 1 bit (“Bit1”) renders as a shade of gray; and
adjusting the 1 bit luma level based on visual quality and said watermark robustness requirements.