Invention Grant
- Patent Title: Transition detector neural network
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Application No.: US17226841Application Date: 2021-04-09
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Publication No.: US11881012B2Publication Date: 2024-01-23
- Inventor: Joseph Renner , Aneesh Vartakavi , Robert Coover
- Applicant: Gracenote, Inc.
- Applicant Address: US CA Emeryville
- Assignee: Gracenote, Inc.
- Current Assignee: Gracenote, Inc.
- Current Assignee Address: US NY New York
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: G06V10/82
- IPC: G06V10/82 ; H04N21/81 ; G06N3/049 ; G06N3/08 ; H04N21/234 ; G06V20/40 ; G06F18/24 ; G06F18/2413 ; G06V10/80

Abstract:
In one aspect, an example method includes (i) extracting a sequence of audio features from a portion of a sequence of media content; (ii) extracting a sequence of video features from the portion of the sequence of media content; (iii) providing the sequence of audio features and the sequence of video features as an input to a transition detector neural network that is configured to classify whether or not a given input includes a transition between different content segments; (iv) obtaining from the transition detector neural network classification data corresponding to the input; (v) determining that the classification data is indicative of a transition between different content segments; and (vi) based on determining that the classification data is indicative of a transition between different content segments, outputting transition data indicating that the portion of the sequence of media content includes a transition between different content segments.
Public/Granted literature
- US20210321150A1 Transition Detector Neural Network Public/Granted day:2021-10-14
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