¹Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, 310018, China
²Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou Dianzi University, Hangzhou, 310018, China
³College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China

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Abstract—Text in video is a very compact and accurate clue for video indexing and summarization. The paper presents a new method for text location in news video with ant colony algorithm. Three features of characters are extracted as a basis for the formation of heuristic function. In order to balance the weight of the three features, three functions are introduced to transform them. The ants will be randomly put on sub-blocks of video frames for searching text areas. Therefore, ants would leave pheromone in each sub-block. After the ant colony algorithm is finished, it produces a pheromone matrix. By binarizing the pheromone matrix, the text blocks can be located. The result has proved that the binarization method proposed in this paper is more accurate than otsu’s method. At last, to reduce the false detection rate, the different directions of edge intensity ratio of text areas are computed, as the real text areas’ edge intensity ratio is much smaller than the false one.

Index Terms—video indexing, text location, ant colony algorithm, binarization, edge intensity ratio.

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Cite: Ming Jiang, Taotao Zha, Xingqi Wang, Jingfan Tang, Chunming Wu, "A New Method for Text Location in News Video Based on Ant Colony Algorithm," Journal of Computers vol. 9, no. 5, pp. 1090-1095, 2014.