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—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)
This paper presents the concept and realization of a P ersonal I nformation 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)
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)
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted where 32 participants had to view documents in front of an eye tracker, query a search engine, and give explicit relevance ratings for the results. We examined the performance of(More)
Choosing a suitable classifier for a given dataset is an important part of developing a pattern recognition system. Since a large variety of classification algorithms are proposed in literature, non-experts do not know which method should be used in order to obtain good classification results on their data. Meta-learning tries to address this problem by(More)
We created a simple-to-use framework to construct gaze-responsive applications using web technology focussing on text. A plugin enables any compatible browser to interpret a new set of gaze handlers that behave similar to existing HTML and JavaScript mouse and keyboard event facilities. Keywords like <i>onFixation, onGazeOver</i>, and <i>onRead</i> can be(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)
—Traditionally, stamps are considered as a seal of authenticity for documents. For automatic processing and verification , segmentation of stamps from documents is pivotal. Existing methods for stamp extraction mostly employ color and/or shape based techniques, thereby limiting their applicability to only colored and specific shape stamps. In this paper, a(More)