An Algorithm of Video Shot Detection Based on Partitioning Image Wavelet Entropy
基于分块图像小波相对能量和熵的视频镜头边界检测算法

Shot boundary detection is considered to be the primitives for higher level content analysis,indexing,and classification.A new video shot detection algorithm based on wavelet energy and wavelet entropy of the partitioning image is presented.The proposed detector includes twofold.The solution to shot-boundary detection or distinguish the cut and gradual shot using the low frequency of partitioning image wavelet entropy is provided.The formula of partitioning image wavelet entropy is given out.A solution is given to detect the fade in/out or wipe shot boundary using the high frequency of partitioning image wavelet entropy.Major advantages of the detector are its robust and good performance,while there is also the possibility to detect different types of shot boundaries simultaneously.The experiment results indicate that the new algorithm gives better performance than A.Hanjalic.