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Robust automatic transcription of lectures

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ISBN: 9783866443945 Year: Pages: XXVI, 173 p. DOI: 10.5445/KSP/1000011992 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:00
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Abstract

Automatic transcription of lectures is becoming an important task. Possible applications can be found in the fields of automatic translation or summarization, information retrieval, digital libraries, education and communication research. Ideally those systems would operate on distant recordings, freeing the presenter from wearing body-mounted microphones. This task, however, is surpassingly difficult, given that the speech signal is severely degraded by background noise and reverberation.

Photonic crystal slabs for low-cost biosensors

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ISBN: 9783866445598 Year: Pages: VI, 165 p. DOI: 10.5445/KSP/1000019644 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:57
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Biosensors are devices that utilize biological recognition elements to selectively detect and analyze specific biological and chemical analyte substances. In this work a technology platform for label-free optical biosensors based on surface-functionalized photonic crystal slabs is proposed. Using this technology platform, low-cost solutions for three biotechnical questions are presented.

Beitrag zur Unterwasserbildrestauration

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Book Series: Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung ISSN: 18665934 ISBN: 9783731505792 Year: Volume: 9 Pages: XX, 210 p. DOI: 10.5445/KSP/1000058567 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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Abstract

Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.

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