Invention Grant
- Patent Title: Multi-model techniques to generate video metadata
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Application No.: US16028352Application Date: 2018-07-05
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Publication No.: US10685236B2Publication Date: 2020-06-16
- Inventor: Saayan Mitra , Viswanathan Swaminathan , Somdeb Sarkhel , Julio Alvarez Martinez, Jr.
- 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 ; G06N20/00 ; G06F16/73 ; G06F16/78 ; G06K9/62

Abstract:
A metadata generation system utilizes machine learning techniques to accurately describe content of videos based on multi-model predictions. In some embodiments, multiple feature sets are extracted from a video, including feature sets showing correlations between additional features of the video. The feature sets are provided to a learnable pooling layer with multiple modeling techniques, which generates, for each of the feature sets, a multi-model content prediction. In some cases, the multi-model predictions are consolidated into a combined prediction. Keywords describing the content of the video are determined based on the multi-model predictions (or combined prediction). An augmented video is generated with metadata that is based on the keywords.
Public/Granted literature
- US20200012862A1 Multi-model Techniques to Generate Video Metadata Public/Granted day:2020-01-09
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