Abstract:

Video shot type can bridge the gap between the low-level features and the high-level semantics and helps to detect highlights. In this paper , a new method for the classification of the close short shot in soccer video is proposed , which classifies the shot into close-up shot or out-of-field audiences' shot. In the proposed method , a component image with the minimal summation in all pixel values is selected from the key frame of a close short shot in RGB color space , and the size of the image is then normalized. After that , the isotropic Sobel operator and the closed operation are adopted to obtain the corresponding binarization edge image , and the classification decision is made by calculating the amount of black blocks in the binarization edge image. Experimental results finally reveal the validity and practicality of the proposed method.

Key words: video signal, signal processing, classification, close-up shot, out-of-field audiences' shot, Sobel operator, closed operation