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A novel approach for detection and localization of caption in video based on pixel pairs

机译:基于像素对的视频中标题中标题的一种新方法

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This paper proposed a method for localization of caption text, particularly Kannada caption text from video sequence. The proposed method uses multiple frames integration approach based on three characteristics namely character location, edge distribution and pixel contrast. The novelty of our approach lies on the pairing of pixels by finding double edge maps of the original and its rotated image. To highlight the text area based on the video temporal information, a Roberts' edge detector is applied to reference gray scale frames of both original and rotated images, followed by combination of the two edge maps and later on a multiple frame integration based on the above three characteristics by employing logical AND operator that keeps only pixels that are invariant among the frames. The morphological operations are applied on the edge map to connect the text characters and discard nontext components. The result is then smoothed and overlaid on one of the original reference images to extract text candidate block. The experimental results carried out on sample video data of Kannada TV channel (Commercial) show that the proposed approach achieves a high precision and recall rate.
机译:本文提出了一种用于本地化文本的方法,特别是来自视频序列的Kannada标题文本。所提出的方法使用基于三个特征的多个帧集成方法即表示字符位置,边缘分布和像素对比度。我们的方法的新颖性通过查找原始图像的双刃图和其旋转图像来呈现像素的配对。为了基于视频时间信息来突出显示文本区域,罗伯茨的边缘检测器应用于原始和旋转图像的参考灰度级帧,然后基于上面的多帧集成的两个边缘映射和稍后的组合。采用逻辑和运算符的三种特征,该逻辑和运算符仅保留在帧之间不变的像素。形态操作应用于边缘映射以连接文本字符并丢弃非文本组件。然后将结果平滑并覆盖在原始参考图像之一上以提取文本候选块。在Kannada TV频道(商业)的样本视频数据上进行的实验结果表明,该方法实现了高精度和召回率。

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