Abstract
The paper proposes a key frame extraction method for video copyright protection. The fast and robust method is based on frame difference with low level features, including color feature and structure feature. A two-stage method is used to extract accurate key frames to cover the content for the whole video sequence. Firstly, an alternative sequence is got based on color characteristic difference between adjacent frames from original sequence. Secondly, by analyzing structural characteristic difference between adjacent frames from the alternative sequence, the final key frame sequence is obtained. And then, an optimization step is added based on the number of final key frames in order to ensure the effectiveness of key frame extraction. Compared with the previous methods, the proposed method has advantage in computation complexity and robustness on several video formats, video resolution, and so on.
Highlights
A Fast and Robust Key Frame Extraction Method for Video Copyright ProtectionThe paper proposes a key frame extraction method for video copyright protection
Video data has been increased rapidly due to rapid development of digital video capture and editing technology
A key frame extraction method based on frame difference with low level features is proposed for video copyright protection
Summary
The paper proposes a key frame extraction method for video copyright protection. The fast and robust method is based on frame difference with low level features, including color feature and structure feature. A two-stage method is used to extract accurate key frames to cover the content for the whole video sequence. An alternative sequence is got based on color characteristic difference between adjacent frames from original sequence. By analyzing structural characteristic difference between adjacent frames from the alternative sequence, the final key frame sequence is obtained. An optimization step is added based on the number of final key frames in order to ensure the effectiveness of key frame extraction. Compared with the previous methods, the proposed method has advantage in computation complexity and robustness on several video formats, video resolution, and so on
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