Jung Yung Eun, Lee Dong Seop, Jeon Keun Hwan, Lee Yang Weon

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 9, pp. 2294-2301, Sep. 1998
10.3745/KIPSTE.1998.5.9.2294,   PDF Download:

Abstract

The aim of this paper is to extract features from each news scenes for example, symbol icon which can be distinct each broadcasting crop, icon and caption which are has feature and important information for the scene in respectively. In this paper, we propose extraction methods of caption that has important problem of news videos and it can be classified in three steps. First of all, we converted that input images from video frame to YIQ color vector in first stage. And then, we divide input image into regions in clear by using equalized color histogram of input image. In last, we extract news icon in selected key frames by the difference of inter-histogram and can divide each scene by the extracted icon. In this paper, we used comparison method of edge histogram instead of complex methods based on color histogram or wavelet or moving objects, so we shorten computation through using simpler algorithm and we shown good result of feature's extraction.

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