View source for Adobe, Inc. (20240430515). DETERMINING VIDEO PROVENANCE UTILIZING DEEP LEARNING

=DETERMINING VIDEO PROVENANCE UTILIZING DEEP LEARNING=


==Organization Name==

[[:Category:Adobe, Inc.|Adobe, Inc.]]


[[Category:Adobe, Inc.]]

==Inventor(s)==

[[:Category:Alexander Black of London (GB)|Alexander Black of London (GB)]][[Category:Alexander Black of London (GB)]]

[[:Category:Van Tu Bui of Guildford (GB)|Van Tu Bui of Guildford (GB)]][[Category:Van Tu Bui of Guildford (GB)]]

[[:Category:John Collomosse of Woking (GB)|John Collomosse of Woking (GB)]][[Category:John Collomosse of Woking (GB)]]

[[:Category:Simon Jenni of Hagendorf (CH)|Simon Jenni of Hagendorf (CH)]][[Category:Simon Jenni of Hagendorf (CH)]]

[[:Category:Viswanathan Swaminathan of Saratoga CA (US)|Viswanathan Swaminathan of Saratoga CA (US)]][[Category:Viswanathan Swaminathan of Saratoga CA (US)]]

==DETERMINING VIDEO PROVENANCE UTILIZING DEEP LEARNING==


This abstract first appeared for US patent application 20240430515 titled 'DETERMINING VIDEO PROVENANCE UTILIZING DEEP LEARNING




==Original Abstract Submitted==

the present disclosure relates to systems, methods, and non-transitory computer readable media that utilize deep learning to map query videos to known videos so as to identify a provenance of the query video or identify editorial manipulations of the query video relative to a known video. for example, the video comparison system includes a deep video comparator model that generates and compares visual and audio descriptors utilizing codewords and an inverse index. the deep video comparator model is robust and ignores discrepancies due to benign transformations that commonly occur during electronic video distribution.



[[Category:H04N21/434]]
[[Category:G06F16/732]]
[[Category:G06F16/78]]
[[Category:H04N21/84]]
[[Category:H04N21/845]]
[[Category:CPC_H04N21/4341]]