Andreas Dengel

Learn More
Recognition of text in natural scene images is becoming a prominent research area due to the widespread availablity of imaging devices in low-cost consumer products like mobile phones. To evaluate the performance of recent algorithms in detecting and recognizing text from complex images, the ICDAR 2011 Robust Reading Competition was organized. Challenge 2(More)
In this paper we will give an overview of the Semantic Desktop paradigm, beginning with the history of the term, a definition, current work and its relevance to knowledge management of the future. Existing applications and research results are listed and their role as building blocks of the future Semantic Desktop described. Based on the analysis of(More)
The performance of most of the classification algorithms on a particular dataset is highly dependent on the learning parameters used for training them. Different approaches like grid search or genetic algorithms are frequently employed to find suitable parameter values for a given dataset. Grid search has the advantage of finding more accurate solutions in(More)
In this paper we present lessons learned from building a Semantic Desktop system, the gnowsis beta. On desktop computers, semantic software has to provide stable services and has to reflect the personal view of the user. Our approach to ontologies, the Personal Information Model PIMO allows to create tagging services like on the desktop. A(More)
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document parts the user read in some way. We use this information on the subdocument level as implicit feedback for query expansion and reranking. We evaluated three different variants(More)
This paper presents the concept and realization of a Personal Information Model (PIMO). A PIMO is used to represent a single users’ concepts, such as projects, tasks, contacts, organizations, allowing files, e-mails, and other resources of interest to the user to be categorized. This categorization using multiple criteria was used to integrate information(More)
Document image processing is a crucial process in the office automation and begins from the ’OCR’ phase with difficulty of the document ’analysis’ and ’understanding’. This paper presents a hybrid and comprehensive approach to document structure analysis. Hybrid in the sense, that it makes use of layout (geometrical) as well as textual features of a given(More)
We demonstrate how information about eye blink frequency and head motion patterns derived from Google Glass sensors can be used to distinguish different types of high level activities. While it is well known that eye blink frequency is correlated with user activity, our aim is to show that (1) eye blink frequency data from an unobtrusive, commercial(More)
Wearable eye trackers open up a large number of opportunities to cater for the information needs of users in today's dynamic society. Users no longer have to sit in front of a traditional desk-mounted eye tracker to benefit from the direct feedback given by the eye tracker about users' interest. Instead, eye tracking can be used as a ubiquitous interface in(More)