TV Corner-Logo Adaptive Threshold Segmentation Algorithm Based on Saliency Detection
TV corner-logo is widely used in current video program, and becomes one of the hot spots in information extraction and analysis. TV corner-logo detection and segmentation algorithm is important for information extraction. In this paper, we presented an adaptive threshold segmentation algorithm, based on the combined time-averaged edge detection and saliency detection, to effectively separate and extract the TV corner-logo from the video sequence. First, we applied Canny operator to detect edges and then calculate the weighted average edge of ten frames, so as to get the time-averaged edge image. Then we combine the time-averaged edge image with the saliency map to get a more accurate segmentation. Finally, we used the adaptive threshold segmentation algorithm to separate the corner-logo. Experimental results show that, this method can effectively detect and separate the corner-logo from the background.
corner-logo segmentation time-averaged edge detection saliency detection adaptive threshold
Xinwei Wang Dongmei Li Shaobin Li Yuzhe Sun Shanzhen Lan
School of Information and Engineering Communication University of China Beijing, China
国际会议
秦皇岛
英文
1885-1888
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）