公开(公告)号：US20250157187A1

公开(公告)日：2025-05-15

申请号：US18506881

申请日：2023-11-10

Applicant: Netflix, Inc.

Inventor： Aneesh Vartakavi ,  Dong Liu ,  Benjamin Eliot Klein

IPC: G06V10/74 ,  G06T11/60

Abstract: A computer-implemented method may include accessing an image associated with a media item and identifying an association between the accessed image and an image take fraction that indicates how well the accessed image correlates to views of the associated media item. Then, based on the identified association between the accessed media item image and the corresponding image take fraction, the method may include training a machine learning (ML) model to predict which images will optimally correlate to views of the associated media item. The method may further include accessing an unprocessed image associated with a new media item that has not been processed by the trained ML model and implementing the trained ML model to predict an image take fraction for the unprocessed image to indicate how well the unprocessed image will correlate to views of the new, unprocessed media item. Various other methods, systems, and computer-readable media are also disclosed.