An Adaptive threshold Shot Detection Algorithm Based on Improved Block Color Features

An adaptive threshold shot detection algorithm based on improved block color features is proposed in this paper. This paper adopts an improved block color feature extraction method based on equal area of rectangular ring. Sub-block accumulative color histogram is extracted as color features and different weight for different rectangle rings is set in order to highlight the central part of frame. Then, adaptive threshold of detecting abrupt shot and gradual shot is calculated, and different detection modules is used according to the distance of the characteristics between frames. In the abrupt shots detection, several frames' frame difference and the edge shape features between adjacent frames are calculated to detect the flash. In the gradual shots detection, the discontinuous frame differences between the current frame and back frames are used to detect the boundary of the gradual shot. The experimental results show that this method has better effect to different types of video.