Paper Title
Key Frame Selection From Video Based On Weighted Minkowski Distance

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.