Extraction of Essential Regions on Sports Tickers for Segmenting Baseball Broadcasts into All the Plate Appearances

Abstract

Contents of sports tickers in broadcasted sports videos could be efficient as queries in analyzing the video contents. However, since sports tickers are displayed with various colors and brightness, it is difficult to recognize inner objects of the sports tickers only according to the brightness distribution. Besides, in order to recognize what the objects represent, it is indispensable to investigate the change of these objects according to time traveling. In this paper, the proposed method can recognize locations of the out ticker, score tickers, and runner markers in the sports ticker of broadcasted baseball videos analyzing the brightness histograms obtained from every of grayscale and color images, and the change of the sports ticker with the correlation coefficient. Experimental results with four broadcasted baseball videos have shown that the proposed method can exactly work in the case when the out ticker is represented by a letter. © 2007, The Institute of Image Electronics Engineers of Japan. All rights reserved.