Invention Grant
- Patent Title: Video object segmentation by reference-guided mask propagation
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Application No.: US15949935Application Date: 2018-04-10
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Publication No.: US10671855B2Publication Date: 2020-06-02
- Inventor: Joon-Young Lee , Seoungwug Oh , Kalyan Krishna Sunkavalli
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/155 ; G06K9/62 ; G06T9/00

Abstract:
Various embodiments describe video object segmentation using a neural network and the training of the neural network. The neural network both detects a target object in the current frame based on a reference frame and a reference mask that define the target object and propagates the segmentation mask of the target object for a previous frame to the current frame to generate a segmentation mask for the current frame. In some embodiments, the neural network is pre-trained using synthetically generated static training images and is then fine-tuned using training videos.
Public/Granted literature
- US20190311202A1 VIDEO OBJECT SEGMENTATION BY REFERENCE-GUIDED MASK PROPAGATION Public/Granted day:2019-10-10
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