Eintrag in der Universitätsbibliographie der TU Chemnitz
Beuth, Frederik
Hamker, Fred H. (Prof. Dr.) ; Neumann, Heiko (Prof. Dr.) ; Einhäuser-Treyer, Wolfgang (Prof. Dr.)
Visual attention in primates and for machines - neuronal mechanisms
Visuelle Aufmerksamkeit in Primaten und für maschinelle Systeme - Neuronale Mechanismen
Kurzfassung in englisch
Visual attention is an important cognitive concept for the daily life of humans, but still not fully understood. Due to this, it is also rarely utilized in computer vision systems. However, understanding visual attention is challenging as it has many and seemingly-different aspects, both at neuronal and behavioral level. Thus, it is very hard to give a uniform explanation of visual attention that can account for all aspects. To tackle this problem, this thesis has the goal to identify a common set of neuronal mechanisms, which underlie both neuronal and behavioral aspects. The mechanisms are simulated by neuro-computational models, thus, resulting in a single modeling approach to explain a wide range of phenomena at once. In the thesis, the chosen aspects are multiple neurophysiological effects, real-world object localization, and a visual masking paradigm (OSM). In each of the considered fields, the work also advances the current state-of-the-art to better understand this aspect of attention itself. The three chosen aspects highlight that the approach can account for crucial neurophysiological, functional, and behavioral properties, thus the mechanisms might constitute the general neuronal substrate of visual attention in the cortex. As outlook, our work provides for computer vision a deeper understanding and a concrete prototype of attention to incorporate this crucial aspect of human perception in future systems.
| Universität: | Technische Universität Chemnitz | |
| Institut: | Juniorprofessur Media Computing | |
| Fakultät: | Fakultät für Informatik | |
| Dokumentart: | Dissertation | |
| Betreuer: | Hamker, Fred H. (Prof. Dr.) | |
| ISBN/ISSN: | 978-3-96100-102-6 | |
| URL/URN: | https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-356553 | |
| Quelle: | Chemnitz : Universitätsverlag Chemnitz, 2019. - xxvii, 255 S. | |
| SWD-Schlagwörter: | Visuelle Aufmerksamkeit , Neurophysiologie , Visuelle Suche , Visuelles System , Künstliche Intelligenz , Neuronales Netz , Objekterkennung , Maschinelles Sehen | |
| Freie Schlagwörter (Deutsch): | Top-Down Aufmerksamkeit , Object Substitution Masking , Computational Neuroscience , Computational Model , Objektlokalisation , Computer Vision | |
| Freie Schlagwörter (Englisch): | Visual Attention , Top-Down Attention , Neurophysiology , Visual Search , Object Substitution Masking , Computational Neuroscience , Computational Model , Visual System , Artificial Intelligence , Neuronal Network , Object Recognition , Object Localization , Computer Vision | |
| DDC-Sachgruppe: | Informatik, Informationswissenschaft, allgemeine Werke, Datenverarbeitung; Informatik, Psychologie, Sinneswahrnehmung, Bewegung, Emotionen, Triebe, Kognitive Prozesse, Intelligenz, Unterbewusste und bewusstseinsveränderte Zustände | |
| Sprache: | englisch | |
| Tag der mündlichen Prüfung | 30.10.2018 |
