基于重叠区域相关系数的视频影像关键帧提取算法

提出了3种基于影像重叠区相关系数的视频影像关键帧快速提取算法。该算法首先采用多项式快速、准确地拟合出视频影像相关系数的变化趋势，然后利用相邻关键帧影像重叠区的高相关特性实现关键帧帧位的快速、准确提取，并通过实例与基于重叠度计算关键帧算法的时效性进行对比。结果表明，该算法单次计算相关系数的时间相对于单次重叠度计算时间缩短了近4倍，准确度达到88%，且针对不同拍摄手段下的视频影像，提取的关键帧影像精度较高。同时，还对基于视频提取的关键帧影像进行全景图拼接，结果显示未出现明显场景缺失，且可靠性高，适用性强。

Key Frame Extraction Algorithm for Video Images Based on Correlation Coefficient of Overlap Regions

This paper presents an effective algorithm to extract key frames from video images based on the correlation coefficients derived from the overlapping regions of adjacent images. Firstly, the polynomial model is employed to fit the change trend of correlation coefficients. Secondly, the positions of key frames are located and extracted rapidly and correctly via the high correlation of overlapping regions of adjacent key frame images. Finally, the time-effectiveness of extracting key frames based on the degree of overlap is tested in a stance. The result shows that the proposed algorithm takes only near 1/4 of time consumed by single computing of the degree of overlap, with an accuracy up to 88% and it can achieve higher accuracy for extracting key frames with different requires of degree of overlap between video images. The panchromatic image generated from the mosaic of extracted key video frames shows no apparent missing of scenes, and the new algorithm demonstrates high reliability and transferability.