Content-Based Retrieval of Historical Ottoman Documents Stored as Textual Images

Keyframe-based video mosaicing for historical Ottoman documents

Image mosaicing is a trendy research area in computer vision in recent years. Instead of images, video frames can be mosaiced to form a larger aggregate. In both cases, merging computations generally depend on the common parts in consecutive images, which are called overlapping regions. The presence of mobile devices with a camera provides higher image and video acquisition; hence video mosaici...

Content Based Retrieval of Images

As the Internet expands, there are an everincreasing number of digital image libraries being produced everyday in many areas such as art collections, photo databases, collections of technical drawings as well as a variety of other fields. This imposes problems for the retrieval of data from these representations, as conventional methods are not always applicable. Therefore we need to look at ra...

A System for the Content-Based Retrieval of Textual and Non-Textual Documents Using a Natural Language Interface

A system for the content-based querying of large databases containing documents of different classes (texts, images, image sequences, audio signals) is introduced.1 Queries are formulated in natural language and are evaluated for their semantic contents. For the document evaluation, a knowledge model consisting of a set of domain specific concept interpretation methods is constructed. Thus, the...

Combining Content-based Image Retrieval with Textual Information Retrieval

Content-based Information Retrieval from Handwritten Documents

This paper is about retrieving the closest matches from a set of scanned handwritten documents based on a query that is a document image. System indexing and retrieval is based on writer characteristics, textual content as well as document meta data such as writer profile. Documents are indexed using global image features, e.g., stroke width, slant, word gaps, as well local features that descri...