Abstract
In this paper, we introduce a synchronization method of music and video, where the music is arranged with the video using emotion similarity. The music segments are matched with the video segments so that the music best follows the video's narrative. The temporal order of video segments are unchanged. Due to the disparity of structural musical content between segment boundaries, we design a cost function to overcome the problem. We perform a user study where the participants rate the overall quality of each synchronized video and show that our method generates a promising result.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 47-50 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509030156 |
| DOIs | |
| Publication status | Published - 2017 Mar 17 |
| Event | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 - Jeju Island, Korea, Republic of Duration: 2017 Feb 13 → 2017 Feb 16 |
Publication series
| Name | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
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Other
| Other | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
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| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 17/2/13 → 17/2/16 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Information Systems
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition