Invention Application
- Patent Title: SYSTEMS AND METHODS FOR SEMANTICALLY CLASSIFYING AND NORMALIZING SHOTS IN VIDEO
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Application No.: US15225665Application Date: 2016-08-01
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Publication No.: US20160342842A1Publication Date: 2016-11-24
- Inventor: Heather Dunlop , Matthew Berry
- Applicant: TiVo Inc.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06T7/00

Abstract:
The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
Public/Granted literature
- US09852344B2 Systems and methods for semantically classifying and normalizing shots in video Public/Granted day:2017-12-26
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