公开(公告)号：US20220284590A1

公开(公告)日：2022-09-08

申请号：US17192599

申请日：2021-03-04

Applicant: Lemon Inc.

Inventor： Linjie Yang ,  Ziyu Jiang ,  Ding Liu ,  Longyin Wen

IPC: G06T7/174 ,  G06K9/62 ,  G06K9/00

Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.

公开(公告)号：US11501447B2

公开(公告)日：2022-11-15

申请号：US17192599

申请日：2021-03-04

Applicant: Lemon Inc.

Inventor： Linjie Yang ,  Ziyu Jiang ,  Ding Liu ,  Longyin Wen

IPC: G06K9/00 ,  G06T7/174 ,  G06K9/62 ,  G06V20/40 ,  G06T7/194

Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.