We propose a new technique of shot transition detection based on

K-L

transform for news video according to the characteristics of human visual system.Firstly

the algorithm uses

K-L

transform of the RGB color space to produce image parameter modal that is consisted of eigenvectors.Secondly

the algorithm calculates the frame distance with the first and second principle axis’s direction differences in the two adjacent frames and weightingcoefficients.Thirdly the algorithm uses a fixed length sliding window of current frame to detect candidate transition.Lastly

through calculating the differences between the head frame and the other frames in the local window

which is defined as the candidate transition frame

we get and analysis the model variance curve to l

ocate and classify the shot transitions and at the same time disposes the flash shot.The experimental results show that the proposed algorithm outperforms the traditional methods

and is robust to illumination changes or camera motion.