计算机科学 ›› 2010, Vol. 37 ›› Issue (9): 282-286.

• 图形图像 • 上一篇    下一篇

基于运动补偿和自适应双闭值的镜头分割

张玉珍,杨明,王建宇,戴跃伟   

  1. (南京理工大学自动化学院 南京210094)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受南京理工大学科技发展基金(XKF09023)资助。

Shot Segmentation Based on Motion Compensation and Self-adaptive Dual Thresholds

ZHANG Yu-zhen,YANG Ming,WANG Jian-yu,DAI Yue-wei   

  • Online:2018-12-01 Published:2018-12-01

摘要: 镜头分割是视频检索的结构化基础。提出一种高效的镜头分割算法,首先针对视频中的图像帧序列间存在一定的运动,对视频中的图像帧采用运动矢量场自适应搜索技术进行分块运动矢量估计,然后进行运动补偿,接着在此基础上计算两帧间的像素值不变点数,并基于滑动窗口获取局部自适应的双阂值,最后基于自适应双阂值间的比较检测切变和渐变。实验结果证实,该算法不仅能够有效地检测出镜头的切变和渐变,而且对运动具有较强的鲁棒性。

关键词: 分块运动矢量估计,运动补偿,自适应双阂值,镜头分割

Abstract: Shot segmentation is structural base for video retrieval. An efficient shot segmentation algorithm was proposed in this paper. Firstly aiming at the motion among the video frames,motion vector field adaptive search technique was used to estimate block motion vectors between two video frames and then motion compensation was made. Afterwards on this base the number of pixsels whose value don't change much between two frames were computed and then based on sliding window, local self-adaptive dual thresholds were gained. Finally based on comparison between dual thresholds, cuts and gradual transition were detected. Experimental results prove that this algorithm can not only efficiently detect cuts and gradual transitions, but also is robust to motion.

Key words: B1ock motion vector estimation, Motion compensation, Self-adaptive dual thresholds, Shot segmentation

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!