公开(公告)号：US09971940B1

公开(公告)日：2018-05-15

申请号：US15231445

申请日：2016-08-08

Applicant: Google Inc.

Inventor： Luciano Sbaiz ,  Jay Yagnik ,  King Hong Thomas Leung ,  Hanna Pasula ,  Thomas Chadwick Walters ,  Thomas Bugnon ,  Matthias Rochus Konrad

IPC: G06K9/62 ,  G06K9/00 ,  G06F21/32 ,  G06N3/04

CPC classification number: G06K9/00758 ,  G06F21/10 ,  G06F2221/074 ,  G06K9/00718 ,  G06K9/00765 ,  G06K9/6215 ,  G06K9/6255 ,  G06K9/6269 ,  G06N3/04

Abstract: Provided content is determined to contain an asset represented by reference content by comparing digital fingerprints of the provided content and the reference content. The fingerprints of the reference content and the provided content are generated using a convolutional neural network (CNN). The CNN is trained using a plurality of frame triplets including an anchor frame representing the reference content, a positive frame which is a transformation of the anchor frame, and a negative frame representing content that is not the reference content. The provided content is determined to contain the asset represented by the reference content based on a similarity measure between the generated fingerprints. If the provided content is determined to contain the asset represented by the reference content, a policy associated with the asset is enforced on the provided content.