计算机科学 ›› 2012, Vol. 39 ›› Issue (8): 300-303.

• 图形图像 • 上一篇    下一篇

一种改进的视频关键帧提取算法研究

瞿 中,高腾飞,张庆庆   

  1. (重庆邮电大学计算机科学与技术学院 重庆400065);(重庆邮电大学移通学院 重庆401520)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Study on an Improved Algorithm of Video Keyframe Extraction

  • Online:2018-11-16 Published:2018-11-16

摘要: 视频镜头分割和关键帧提取是基于内容的视频检索的核心问题。提出了一种改进的关键帧提取算法,其为视频检索莫定了基础,镜头分割部分采用改进直方图方法及基于像素方法的综合方法。首先,通过结合直方图交集及非均匀分块加权的改进直方图方法,根据视频内容将视频分割为镜头;然后,利用基于像素的帧差法,对得到的检测镜头进行二次检测,优化检测结果;最后,在HSV颜色空间的基础上,计算每个镜头内每帧的图像墒,从而确定关键帧序列。实验结果表明,提出的改进算法所得到的关键帧结构紧凑且分布均匀。

关键词: 视频镜头检测,关键帧提取,帧差法,图像嫡,视频检索

Abstract: Video segmentation and keyframe extraction are the core issues of Content based Video Retrieval(CBVR).We proposed an improved approach of key-frame extraction for video retrieval, adopting the synthesis method based on histogram-based method and pixel-based method in video shot segmentation. In the method, videos arc firstly segmented into shots according to video content, by our improved histogram-based method, with the use of histogram intersection and nonuniform partitioning and weighting. hhen, the obtained results arc secondly detected by pixel-based method to optimize the results. At last, within each shot, key-frames arc determined with the calculation of image entropy of every frame in HSV color space. Our simulation results prove that the extracted key frames with our method are compact and uniformly distributed.

Key words: Video shot detection, Keyframe extraction, Pixel-based method, Image entropy, Video retrieval

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