This paper introduces a publicly available historical manuscript database DIVA-HisDB for
the evaluation of several Document Image Analysis (DIA) tasks. The database consists of …

We present 1) a work in progress method to visually segment key regions of scientific
articles using an object detection technique augmented with contextual features, and 2) a …

In this paper, we present a novel approach for initializing deep neural networks, ie, by using
Principal Component Analysis (PCA) to initialize neural layers. Usually, the initialization of …

This paper reports on the ICDAR2017 Competition on Layout Analysis for Challenging
Medieval Manuscripts (HisDoc-Layout-Comp) and provides further details and discussions …

Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access
to their resources, are based on Document Image Analysis and Recognition (DIAR) …

In this paper, we study the problem of discovering a timeline of events in a temporal network.
We model events as dense subgraphs that occur within intervals of network activity. We …

Layout analysis is a task of uttermost importance in ancient handwritten document analysis
and represents a fundamental step toward the simplification of subsequent tasks such as …

Document layout segmentation is a challenging task due to the variability and complexity of
document layouts. Ancient manuscripts in particular are often damaged by age, have very …

Historical palm-leaf manuscript and early paper documents from Indian subcontinent form
an important part of the world's literary and cultural heritage. Despite their importance, large …

Textual content appearing in videos represents an interesting index for semantic retrieval of
videos (from archives), generation of alerts (live streams), as well as high level applications …