@misc{Hoehn2006,
  type      = {Master Thesis},
  author    = {H{\"o}hn, Winfried},
  title     = {Mustererkennung in Fr{\"u}hdrucken},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-30429},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {No abstract available},
  subject      = {Mustererkennung},
  language  = {de}
}
@misc{Feineis2008,
  type      = {Master Thesis},
  author    = {Feineis, Markus},
  title     = {Wortgenaue Annotation digitalisierter mittelalterlicher Handschriften},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-30448},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {No abstract available},
  subject      = {Annotation},
  language  = {de}
}
@misc{Kaempgen2009,
  type      = {Master Thesis},
  author    = {Kaempgen, Benedikt},
  title     = {Deskriptives Data-Mining f{\"u}r Entscheidungstr{\"a}ger: Eine Mehrfachfallstudie},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-46343},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2009},
  abstract  = {Das Potenzial der Wissensentdeckung in Daten wird h{\"a}ufig nicht ausgenutzt, was haupts{\"a}chlich auf Barrieren zwischen dem Entwicklerteam und dem Endnutzer des Data-Mining zur{\"u}ckzuf{\"u}hren ist. In dieser Arbeit wird ein transparenter Ansatz zum Beschreiben und Erkl{\"a}ren von Daten f{\"u}r Entscheidungstr{\"a}ger vorgestellt. In Entscheidungstr{\"a}ger-zentrierten Aufgaben werden die Projektanforderungen definiert und die Ergebnisse zu einer Geschichte zusammengestellt. Eine Anforderung besteht dabei aus einem tabellarischen Bericht und ggf. Mustern in seinem Inhalt, jeweils verst{\"a}ndlich f{\"u}r einen Entscheidungstr{\"a}ger. Die technischen Aufgaben bestehen aus einer Datenpr{\"u}fung, der Integration der Daten in einem Data-Warehouse sowie dem Generieren von Berichten und dem Entdecken von Mustern wie in den Anforderungen beschrieben. Mehrere Data-Mining-Projekte k{\"o}nnen durch Wissensmanagement sowie eine geeignete Infrastruktur voneinander profitieren. Der Ansatz wurde in zwei Projekten unter Verwendung von ausschließlich Open-Source-Software angewendet.},
  subject      = {Data Mining},
  language  = {de}
}
@misc{Sieber2013,
  type      = {Master Thesis},
  author    = {Sieber, Christian},
  title     = {Holistic Evaluation of Novel Adaptation Logics for DASH and SVC},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-92362},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Streaming of videos has become the major traffic generator in today's Internet and the video traffic share is still increasing. According to Cisco's annual Visual Networking Index report, in 2012, 60\% of the global Internet IP traffic was generated by video streaming services. Furthermore, the study predicts further increase to 73\% by 2017. At the same time, advances in the fields of mobile communications and embedded devices lead to a widespread adoption of Internet video enabled mobile and wireless devices (e.g. Smartphones). The report predicts that by 2017, the traffic originating from mobile and wireless devices will exceed the traffic from wired devices and states that mobile video traffic was the source of roughly half of the mobile IP traffic at the end of 2012. With the increasing importance of Internet video streaming in today's world, video content provider find themselves in a highly competitive market where user expectations are high and customer loyalty depends strongly on the user's satisfaction with the provided service. In particular paying customers expect their viewing experience to be the same across all their viewing devices and independently of their currently utilized Internet access technology. However, providing video streaming services is costly in terms of storage space, required bandwidth and generated traffic. Therefore, content providers face a trade-off between the user perceived Quality of Experience (QoE) and the costs for providing the service. Today, a variety of transport and application protocols exist for providing video streaming services, but the one utilized depends on the scenario in mind. Video streaming services can be divided up in three categories: Video conferencing, IPTV and Video-on-Demand services. IPTV and video-conferencing have severe real-time constraints and thus utilize mostly datagram-based protocols like the RTP/UDP protocol for the video transmission. Video-on-Demand services in contrast can profit from pre-encoded content, buffers at the end user's device, and mostly utilize TCP-based protocols in combination with progressive streaming for the media delivery. In recent years, the HTTP protocol on top of the TCP protocol gained widespread popularity as a cost-efficient way to distribute pre-encoded video content to customers via progressive streaming. This is due to the fact that HTTP-based video streaming profits from a well-established infrastructure which was originally implemented to efficiently satisfy the increasing demand for web browsing and file downloads. Large Content Delivery Networks (CDN) are the key components of that distribution infrastructure. CDNs prevent expensive long-haul data traffic and delays by distributing HTTP content to world-wide locations close to the customers. As of 2012, already 53\% of the global video traffic in the Internet originates from Content Delivery Networks and that percentage is expected to increase to 65\% by the year 2017. Furthermore, HTTP media streaming profits from existing HTTP caching infrastructure, ease of NAT and proxy traversal and firewall friendliness. Video delivery through heterogeneous wired and wireless communications networks is prone to distortions due to insufficient network resources. This is especially true in wireless scenarios, where user mobility and insufficient signal strength can result in a very poor transport service performance (e.g. high packet loss, delays and low and varying bandwidth). A poor performance of the transport in turn may degrade the Quality of Experience as perceived by the user, either due to buffer underruns (i.e. playback interruptions) for TCP-based delivery or image distortions for datagram-based real-time video delivery. In order to overcome QoE degradations due to insufficient network resources, content provider have to consider adaptive video streaming. One possibility to implement this for HTTP/TCP streaming is by partitioning the content into small segments, encode the segments into different quality levels and provide access to the segments and the quality level details (e.g. resolution, average bitrate). During the streaming session, a client-centric adaptation algorithm can use the supplied details to adapt the playback to the current environment. However, a lack of a common HTTP adaptive streaming standard led to multiple proprietary solutions developed by major Internet companies like Microsoft (Smooth Streaming), Apple (HTTP Live Streaming) and Adobe (HTTP Dynamic Streaming) loosely based on the aforementioned principle. In 2012, the ISO/IEC published the Dynamic Adaptive Streaming over HTTP (MPEG-DASH) standard. As of today, DASH is becoming widely accepted with major companies announcing their support or having already implemented the standard into their products. MPEG-DASH is typically used with single layer codecs like H.264/AVC, but recent publications show that scalable video coding can use the existing HTTP infrastructure more efficiently. Furthermore, the layered approach of scalable video coding extends the adaptation options for the client, since already downloaded segments can be enhanced at a later time. The influence of distortions on the perceived QoE for non-adaptive video streaming are well reviewed and published. For HTTP streaming, the QoE of the user is influenced by the initial delay (i.e. the time the client pre-buffers video data) and the length and frequency of playback interruptions due to a depleted video playback buffer. Studies highlight that even low stalling times and frequencies have a negative impact on the QoE of the user and should therefore be avoided. The first contribution of this thesis is the identification of QoE influence factors of adaptive video streaming by the means of crowd-sourcing and a laboratory study. MPEG-DASH does not specify how to adapt the playback to the available bandwidth and therefore the design of a download/adaptation algorithm is left to the developer of the client logic. The second contribution of this thesis is the design of a novel user-centric adaption logic for DASH with SVC. Other download algorithms for segmented HTTP streaming with single layer and scalable video coding have been published lately. However, there is little information about the behavior of these algorithms regarding the identified QoE-influence factors. The third contribution is a user-centric performance evaluation of three existing adaptation algorithms and a comparison to the proposed algorithm. In the performance evaluation we also evaluate the fairness of the algorithms. In one fairness scenario, two clients deploy the same adaptation algorithm and share one Internet connection. For a fair adaptation algorithm, we expect the behavior of the two clients to be identical. In a second fairness scenario, one client shares the Internet connection with a large HTTP file download and we expect an even bandwidth distribution between the video streaming and the file download. The forth contribution of this thesis is an evaluation of the behavior of the algorithms in a two-client and HTTP cross traffic scenario. The remainder of this thesis is structured as follows. Chapter II gives a brief introduction to video coding with H.264, the HTTP adaptive streaming standard MPEG-DASH, the investigated adaptation algorithms and metrics of Quality of Experience (QoE) for video streaming. Chapter III presents the methodology and results of the subjective studies conducted in the course of this thesis to identify the QoE influence factors of adaptive video streaming. In Chapter IV, we introduce the proposed adaptation algorithm and the methodology of the performance evaluation. Chapter V highlights the results of the performance evaluation and compares the investigated adaptation algorithms. Section VI summarizes the main findings and gives an outlook towards QoE-centric management of DASH with SVC.},
  subject      = {DASH},
  language  = {en}
}
@misc{Vorbach2014,
  type      = {Master Thesis},
  author    = {Vorbach, Paul},
  title     = {Analysen und Heuristiken zur Verbesserung von OCR-Ergebnissen bei Frakturtexten},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-106527},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Zahlreiche Digitalisierungsprojekte machen das Wissen vergangener Jahrhunderte jederzeit verf{\"u}gbar. Das volle Potenzial der Digitalisierung von Dokumenten entfaltet sich jedoch erst, wenn diese als durchsuchbare Volltexte verf{\"u}gbar gemacht werden. Mithilfe von OCR-Software kann die Erfassung weitestgehend automatisiert werden. Fraktur war ab dem 16. Jahrhundert bis zur Mitte des 20. Jahrhunderts die verbreitete Schrift des deutschen Sprachraums. Durch einige Besonderheiten von Fraktur bleiben die Erkennungsraten bei Frakturtexten aber meist deutlich hinter den Erkennungsergebnissen bei Antiquatexten zur{\"u}ck. Diese Arbeit konzentriert sich auf die Verbesserung der Erkennungsergebnisse der OCR-Software Tesseract bei Frakturtexten. Dazu wurden die Software und bestehende Sprachpakete gesondert auf die Eigenschaften von Fraktur hin analysiert. Durch spezielles Training und Anpassungen an der Software wurde anschließend versucht, die Ergebnisse zu verbessern und Erkenntnisse {\"u}ber die Effektivit{\"a}t verschiedener Ans{\"a}tze zu gewinnen. Die Zeichenfehlerraten konnten durch verschiedene Experimente von zuvor 2,5 Prozent auf 1,85 Prozent gesenkt werden. Außerdem werden Werkzeuge vorgestellt, die das Training neuer Schriftarten f{\"u}r Tesseract erleichtern und eine Evaluation der erzielten Verbesserungen erm{\"o}glichen.},
  subject      = {Optische Zeichenerkennung},
  language  = {de}
}
@misc{Werner2024,
  type      = {Master Thesis},
  author    = {Werner, Lennart},
  title     = {Terrain Mapping for Autonomous Navigation of Lunar Rovers},
  doi       = {10.25972/OPUS-35826},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358268},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Autonomous mobile robots operating in unknown terrain have to guide their drive decisions through local perception. Local mapping and traversability analysis is essential for safe rover operation and low level locomotion. This thesis deals with the challenge of building a local, robot centric map from ultra short baseline stereo imagery for height and traversability estimation. Several grid-based, incremental mapping algorithms are compared and evaluated in a multi size, multi resolution framework. A new, covariance based mapping update is introduced, which is capable of detecting sub- cellsize obstacles and abstracts the terrain of one cell as a first order surface. The presented mapping setup is capable of producing reliable ter- rain and traversability estimates under the conditions expected for the Cooperative Autonomous Distributed Robotic Exploreration (CADRE) mission. Algorithmic- and software architecture design targets high reliability and efficiency for meeting the tight constraints implied by CADRE's small on-board embedded CPU. Extensive evaluations are conducted to find possible edge-case scenar- ios in the operating envelope of the map and to confirm performance parameters. The research in this thesis targets the CADRE mission, but is applicable to any form of mobile robotics which require height- and traversability mapping.},
  subject      = {Mondfahrzeug},
  language  = {en}
}