Text recognition and correction for automated data collection in participatory sensing applications

Text recognition and correction for automated data collection by mobile devices Ozarslan, Suleyman; Eren, Pekin Erhan (2014-02-06) Participatory sensing is an approach which allows mobile devices such as mobile phones to be used for data collection, analysis and sharing processes by individuals. Data collection is the first and most important part of a participatory sensing system, but it is time consuming for the participants. In this paper, we discuss automatic data collection approaches for reducing the time required for collection, and increasing the amount of collected data. In this context, we explore automated text recognition o...
Text Generation and Comprehension for Objects in Images and Videos Anayurt Özyeğin, Hazan; Kalkan, Sinan; Department of Computer Engineering (2021-9-09) Text generation from visual data is a problem often studied using deep learning, having a wide range of applications. This thesis focuses on two different aspects of this problem by proposing both supervised and unsupervised methods to solve it. In the first part of the thesis, we work on referring expression comprehension and generation from videos. We specifically work with relational referring expressions which we define to be expressions that describe an object with respect to another object. For this, ...
Text mining : a burgeroning quality improvement tool J.Mohammad, Mohammad Alkin; Weber, Gerhard Wilhelm; Department of Scientific Computing (2007) While the amount of textual data available to us is constantly increasing, managing the texts by human effort is clearly inadequate for the volume and complexity of the information involved. Consequently, requirement for automated extraction of useful knowledge from huge amounts of textual data to assist human analysis is apparent. Text mining (TM) is mostly an automated technique that aims to discover knowledge from textual data. In this thesis, the notion of text mining, its techniques, applications are p...
Text classification in Turkish marketing domain and context-sensitive ad distribution Engin, Melih; Can, Tolga; Department of Computer Engineering (2009) Online advertising has a continuously increasing popularity. Target audience of this new advertising method is huge. Additionally, there is another rapidly growing and crowded group related to internet advertising that consists of web publishers. Contextual advertising systems make it easier for publishers to present online ads on their web sites, since these online marketing systems automatically divert ads to web sites with related contents. Web publishers join ad networks and gain revenue by enabling ads...
Text reading in English as a second language: Evidence from the Multilingual Eye-Movements Corpus Kuperman, Victor; et. al. (2022-03-01) Research into second language (L2) reading is an exponentially growing field. Yet, it still has a relatively short supply of comparable, ecologically valid data from readers representing a variety of first languages (L1). This article addresses this need by presenting a new data resource called MECO L2 (Multilingual Eye Movements Corpus), a rich behavioral eye-tracking record of text reading in English as an L2 among 543 university student speakers of 12 different L1s. MECO L2 includes a test battery of com...

Citation Formats

S. ÖZARSLAN and P. E. Eren, “Text recognition and correction for automated data collection in participatory sensing applications,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69568.