Invention Grant
- Patent Title: Translating texts for videos based on video context
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Application No.: US16678378Application Date: 2019-11-08
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Publication No.: US11481563B2Publication Date: 2022-10-25
- Inventor: Mahika Wason , Amol Jindal , Ajay Bedi
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06F40/58
- IPC: G06F40/58 ; G06V20/40 ; G06N3/08 ; G06N3/04

Abstract:
The present disclosure describes systems, non-transitory computer-readable media, and methods that can generate contextual identifiers indicating context for frames of a video and utilize those contextual identifiers to generate translations of text corresponding to such video frames. By analyzing a digital video file, the disclosed systems can identify video frames corresponding to a scene and a term sequence corresponding to a subset of the video frames. Based on images features of the video frames corresponding to the scene, the disclosed systems can utilize a contextual neural network to generate a contextual identifier (e.g. a contextual tag) indicating context for the video frames. Based on the contextual identifier, the disclosed systems can subsequently apply a translation neural network to generate a translation of the term sequence from a source language to a target language. In some cases, the translation neural network also generates affinity scores for the translation.
Public/Granted literature
- US20210141867A1 TRANSLATING TEXTS FOR VIDEOS BASED ON VIDEO CONTEXT Public/Granted day:2021-05-13
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