公开(公告)号：US20240114158A1

公开(公告)日：2024-04-04

申请号：US18529173

申请日：2023-12-05

Applicant: Google LLC

Inventor： Vihan Jain ,  Joonseok Lee ,  Ming Zhao ,  Sheide Chammas ,  Hexiang Hu ,  Bowen Zhang ,  Fei Sha ,  Tze Way Eugene Ie

IPC: H04N19/30 ,  G06N20/00 ,  H04N19/172

CPC classification number: H04N19/30 ,  G06N20/00 ,  H04N19/172

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

公开(公告)号：US20230103148A1

公开(公告)日：2023-03-30

申请号：US18070556

申请日：2022-11-29

Applicant: Google LLC

Inventor： Vihan Jain ,  Joonseok Lee ,  Ming Zhao ,  Sheide Chammas ,  Hexiang Hu ,  Bowen Zhang ,  Fei Sha ,  Tze Way Eugene Ie

IPC: H04N19/30 ,  G06N20/00 ,  H04N19/172

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

公开(公告)号：US20220256175A1

公开(公告)日：2022-08-11

申请号：US17162150

申请日：2021-01-29

Applicant: Google LLC

Inventor： Vihan Jain ,  Joonseok Lee ,  Ming Zhao ,  Sheide Chammas ,  Hexiang Hu ,  Bowen Zhang ,  Fei Sha ,  Tze Way Eugene Ie

IPC: H04N19/30 ,  H04N19/172 ,  G06N20/00

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

公开(公告)号：US11876986B2

公开(公告)日：2024-01-16

申请号：US18070556

申请日：2022-11-29

Applicant: Google LLC

Inventor： Vihan Jain ,  Joonseok Lee ,  Ming Zhao ,  Sheide Chammas ,  Hexiang Hu ,  Bowen Zhang ,  Fei Sha ,  Tze Way Eugene Ie

IPC: H04N19/30 ,  H04N19/00 ,  H04N19/172 ,  G06N20/00

CPC classification number: H04N19/30 ,  G06N20/00 ,  H04N19/172

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

公开(公告)号：US11533495B2

公开(公告)日：2022-12-20

申请号：US17162150

申请日：2021-01-29

Applicant: Google LLC

Inventor： Vihan Jain ,  Joonseok Lee ,  Ming Zhao ,  Sheide Chammas ,  Hexiang Hu ,  Bowen Zhang ,  Fei Sha ,  Tze Way Eugene Ie

IPC: H04N19/30 ,  H04N19/00 ,  H04N19/172 ,  G06N20/00

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.