As a fundamental unit in video analysis

automatic shot detection and classification plays a significant role. To keep consistent with the characteristics of human visual perception

the semi-supervised label propagation based shot boundary detection and classification technique is proposed in this paper. Taking the correlations among consecutive frames in video stream into consideration

the pre-constructed initial state of label for each shot category is propagated continuously via correlation graph，of which the final convergent state can be exploited to reveal the intrinsic description of various shot categories. Furthermore

we apply a multi-class SVM to fulfill the shot classification. The experimental results show the effectiveness of the proposed algorithm

from which the performance of video analysis and retrieval can be expected to benefit.