论文标题
深度学习方法的分类19世纪书籍的生产技术
Deep Learning Approaches to Classification of Production Technology for 19th Century Books
论文作者
论文摘要
文化研究致力于了解知识传播的过程以及书行业的社会和技术实践。计算机系统可以支持19世纪儿童书籍的研究。具体而言，数字图像处理的进步似乎为分析和量化书籍中的视觉组件提供了绝佳的机会。 19世纪书籍中插图的生产技术的特点是从木材或铜雕刻到光刻的转变。我们报告了旨在基于生产技术对图像进行分类的分类实验。对于人类也很难的分类任务，分类质量仅达到70％左右。我们分析了一些其他错误来源，并确定了低性能的原因。
Cultural research is dedicated to understanding the processes of knowledge dissemination and the social and technological practices in the book industry. Research on children books in the 19th century can be supported by computer systems. Specifically, the advances in digital image processing seem to offer great opportunities for analyzing and quantifying the visual components in the books. The production technology for illustrations in books in the 19th century was characterized by a shift from wood or copper engraving to lithography. We report classification experiments which intend to classify images based on the production technology. For a classification task that is also difficult for humans, the classification quality reaches only around 70%. We analyze some further error sources and identify reasons for the low performance.
