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Intelligent Video Highlights Generation with Front-Camera Emotion Sensing
Content Provider | MDPI |
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Author | Meyer, Hugo Wei, Peter Jiang, Xiaofan |
Copyright Year | 2021 |
Description | In this paper, we present HOMER, a cloud-based system for video highlight generation which enables the automated, relevant, and flexible segmentation of videos. Our system outperforms state-of-the-art solutions by fusing internal video content-based features with the user’s emotion data. While current research mainly focuses on creating video summaries without the use of affective data, our solution achieves the subjective task of detecting highlights by leveraging human emotions. In two separate experiments, including videos filmed with a dual camera setup, and home videos randomly picked from Microsoft’s Video Titles in the Wild (VTW) dataset, HOMER demonstrates an improvement of up to |
Starting Page | 1035 |
e-ISSN | 14248220 |
DOI | 10.3390/s21041035 |
Journal | Sensors |
Issue Number | 4 |
Volume Number | 21 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-02-03 |
Access Restriction | Open |
Subject Keyword | Sensors Artificial Intelligence Mobile Computing Emotion Recognition Image Processing Signal Processing Algorithms |
Content Type | Text |
Resource Type | Article |