One-take video boundary point extraction based on frame characteristics

This paper deals with a system for extracting boundary points for unedited video. The term 'unedited' means that the user continuously shoots at once without stopping the shooting through a device such as a camera or mobile phone. In general, if image intrinsic pixel values or RGB characte...

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Bibliographic Details
Published in2021 International Conference on Information and Communication Technology Convergence (ICTC) pp. 524 - 526
Main Authors Lee, Jaewon, Jang, Dalwon, Lee, JongSeol
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.10.2021
Subjects
Feature extraction
Filtering
Image segmentation
Information and communication technology
Mobile handsets
One-Take video splitting
Real-time systems
Real-Time Video Splitting
Shot Boundary Detection
Streaming media
Video Splitting System
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Summary:This paper deals with a system for extracting boundary points for unedited video. The term 'unedited' means that the user continuously shoots at once without stopping the shooting through a device such as a camera or mobile phone. In general, if image intrinsic pixel values or RGB characteristics are used to compare adjacent frames, it is difficult to extract a boundary point from continuous one-take video. However, the pixel mean and the standard deviation was obtained and the ratio was used as a primary filtering. Through key point extraction and comparison using SURF(Speeded-Up Robust Features), segmentation points were well extracted even in one-take videos with severe shaking. The entire system is tested with the a video shot directly through a mobile phone and a short film shot with one-take, and found that the speed of about 30fps of more was obtained, indicating real-time performance.
DOI:10.1109/ICTC52510.2021.9620953