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Click-Free, Video-Based Document Capture - Methodology and Evaluation

机译:点击免费,基于视频的文档捕获 - 方法论和评估

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摘要

We propose a click-free method for video-based digitization of multi-page documents. The work is targeted at the non-commercial, low-volume, home user. The document is viewed through a mounted camera and the user is only required to turn pages manually while the system automatically extracts the video frames representing stationary document pages. This is in contrast to traditional document conversion approaches such as photocopying and scanning which can be time-consuming, repetitive, redundant and can lead to document deterioration. Main contributions of our work are i) a 3-step method for automatic extraction of unique, stable and clear document pages from video, ii) a manually annotated data set of 37 videos consisting of 763 page turn events covering a large variety of documents, and iii) a soft, quantitative evaluation criterion that is highly correlated with the hard F1-measure. The criterion is motivated by the need to counter the subjectivity in human marked ground truth for videos. On our data set, we report an F1-measure of 0.91 and a soft score of 0.94 for the page extraction task.
机译:我们提出了一种自由点击基于视频的数字化的点击方法。这项工作是针对非商业,低批量的家庭用户的目标。通过安装的摄像头查看文档,用户只需要手动转动页面,而系统自动提取表示静止文档页面的视频帧。这与传统的文档转换方法相反,如复印和扫描,这可能是耗时的,重复,冗余,并且可以导致文档恶化。我们工作的主要贡献是i)自动提取来自视频的独特,稳定和清晰的文档页面的三步方法,ii)由覆盖大量文档的763页转向事件组成的手动注释数据集37个视频。和iii)一种柔软的定量评估标准,其与硬F 1 - 射程高度相关。该标准是有必要反击人类标记的对象的主观性。在我们的数据集上,我们向页面提取任务报告0.91的F 1 - 射程0.91,软分数为0.94。

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