Adaptive Fibonacci Search Method of Video Key Frame Extraction
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-10 |
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| Year of Publication : 2019 | ||
| Authors : Baomin Shao, Hongyun Jia | ||
| DOI : 10.14445/22312803/IJCTT-V67I10P103 |
MLA Style:Baomin Shao, Hongyun Jia "Adaptive Fibonacci Search Method of Video Key Frame Extraction," International Journal of Computer Trends and Technology 67.10 (2019):16-19.
APA Style Baomin Shao, Hongyun Jia. Adaptive Fibonacci Search Method of Video Key Frame ExtractionInternational Journal of Computer Trends and Technology, 67(10),16-19.
Abstract
With the development of video techniques, one of the issues of building a proficient video processing system is to present a whole video with key frames to eliminate redundant information. This paper presented a novel video key frame extraction method using adaptive Fibonacci search algorithm. A pre-sampling was employed for selecting the suitable parameters for the sequence search process. After color and texture features were computed and combined, each frame was represented by a 92-dimensional feature vector, with the help of similarity measurement of frame combined feature vector, a divide-and-conquer searching method was executed. Experiments showed that this approach considerably reduced the processing time of each video while maintaining a similar precision and recall rates, at the same time, it could extract key frames from videos more effectively.
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Keywords
Key frame extraction, Video analysis, Fibonacci search, Image feature vector