公开(公告)号：US11948358B2

公开(公告)日：2024-04-02

申请号：US17455126

申请日：2021-11-16

Applicant: ADOBE INC.

Inventor： Sumegh Roychowdhury ,  Sumedh A. Sontakke ,  Mausoom Sarkar ,  Nikaash Puri ,  Pinkesh Badjatiya ,  Milan Aggarwal

IPC: G06V20/40 ,  G06N3/088

CPC classification number: G06V20/41 ,  G06N3/088 ,  G06V20/47 ,  G06V20/44

Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure generate a plurality of image feature vectors corresponding to a plurality of frames of a video; generate a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors; generate a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors; and identify a plurality of high-level events occurring in the video based on the plurality of high-level event representation vectors.

公开(公告)号：US20230154186A1

公开(公告)日：2023-05-18

申请号：US17455126

申请日：2021-11-16

Applicant: ADOBE INC.

Inventor： Sumegh Roychowdhury ,  Sumedh A. Sontakke ,  Mausoom Sarkar ,  Nikaash Puri ,  Pinkesh Badjatiya ,  Milan Aggarwal

IPC: G06K9/00 ,  G06N3/08

CPC classification number: G06K9/00718 ,  G06K9/00751 ,  G06N3/088 ,  G06K2009/00738

Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure generate a plurality of image feature vectors corresponding to a plurality of frames of a video; generate a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors; generate a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors; and identify a plurality of high-level events occurring in the video based on the plurality of high-level event representation vectors.