US 11,895,344 B1
Distribution of media content enhancement with generative adversarial network migration
Aaron K. Baughman, Cary, NC (US); Jeremy R. Fox, Georgetown, TX (US); Zachary A. Silverstein, Georgetown, TX (US); and Sarbajit K. Rakshit, Kolkata (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 9, 2022, as Appl. No. 18/063,747.
Int. Cl. H04N 21/2343 (2011.01); H04N 21/234 (2011.01); H04N 21/25 (2011.01); H04N 21/24 (2011.01)
CPC H04N 21/234327 (2013.01) [H04N 21/23418 (2013.01); H04N 21/23439 (2013.01); H04N 21/2402 (2013.01); H04N 21/251 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
responsive to determining a media content of a defined quality is unavailable on a cloud hosted server, identifying, by one or more processors, a degree of enhancement to be performed on the media content to attain the defined quality;
calculating, by one or more processors, a length of time required to enhance the media content to the degree of enhancement identified considering one or more factors;
identifying, by one or more processors, a buffer required to enhance the media content to the degree of enhancement identified, wherein the buffer prevents an interruption in the media content;
identifying, by one or more processors, a distribution to enhance the media content between a cloud hosted server and the user computing device; and
enhancing, by one or more processors, the media content according to the distribution identified.