In this paper, we propose an approach to interactively propagate annotations representing the historians’ knowledge on a database of lettrine images manually populated by historians (with annotations). Based on a novel document indexing processing scheme which combines the use of the Zipf law and the use of bag of patterns, our approach extends the bag-of-words model to represent the knowledge by visual features through relevance feedback. Then, annotation propagation is automatically performed to propagate knowledge to the lettrine database. Our approach is presented together with preliminary experimental results and an illustrative example.

中文翻译：

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一种适用于lettrines的自适应文件识别系统

在本文中，我们提出了一种在历史学家手动填充的带注释的图像图像数据库上交互传播表示历史学家知识的注释的方法。基于一种新颖的文档索引处理方案，该方案结合了Zipf定律的使用和模式袋的使用，我们的方法扩展了词袋模型以通过相关性反馈以视觉特征表示知识。然后，自动执行注释传播，以将知识传播到lettrine数据库。我们的方法与初步的实验结果和一个说明性的例子一起介绍。