DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-2,Issue-8 ( Aug, 2014 ) | |||||||||
Paper Title |
Key Frame Selection From Video Based On Weighted Minkowski Distance | |||||||||
Author Name |
Arun Kumar Gautam | |||||||||
Affilition |
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi | |||||||||
Pages |
83-86 | |||||||||
Abstract |
Key frames are extracted to make video processing more efficient and effective. The key frames are those frames which are selected from the total frames of a video that can represent the information of whole video. Basically a video contains hundred, or thousands, or millions of frames depending upon the size and frame rate. The previous approaches have been either extracted a single frame or extracted those frames which are visually different. This paper have been used the Minkowski as a method to measure the distance between the two images and compares them with a threshold value to find the key frames. In this paper the standard deviation of the differences of images has been used asa threshold to determine the key frames. | |||||||||
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