An adaptive threshold shot detection algorithm based on improved block color features

Huayong Liu, Tao Li
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引用次数: 2

Abstract

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.
基于改进块颜色特征的自适应阈值镜头检测算法
提出了一种基于改进块颜色特征的自适应阈值镜头检测算法。本文采用一种改进的基于矩形环等面积的块色特征提取方法。提取子块累积颜色直方图作为颜色特征,对不同的矩形环设置不同的权值,以突出帧的中心部分。然后,计算突变镜头和渐变镜头检测的自适应阈值,并根据帧间特征的距离使用不同的检测模块;在突发镜头检测中,通过计算若干帧的帧差和相邻帧之间的边缘形状特征来检测闪光。在渐变镜头检测中,利用当前帧与后帧之间的不连续帧差来检测渐变镜头的边界。实验结果表明,该方法对不同类型的视频都有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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