Multimodal Computational Attention for Scene Understanding and Robotics
Springer International Publishing (Verlag)
978-3-319-33794-4 (ISBN)
This book presents state-of-the-art computationalattention models that have been successfully tested in diverse applicationareas and can build the foundation for artificial systems to efficientlyexplore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recentcomputational attention models for processing visual and acoustic input. Itcovers the biological background of visual and auditory attention, as well as bottom-up and top-down attentionalmechanisms and discusses various applications. In the first part new approachesfor bottom-up visual and acoustic saliency models are presented and applied tothe task of audio-visual scene exploration of a robot. In the second part theinfluence of top-down cues for attention modeling is investigated.
Introduction.- Background.- Bottom-up Audio-Visual Attention for Scene Exploration.- Multimodal Attention with Top-Down Guidance.- Conclusion.- Applications.- Dataset Overview.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Cognitive Systems Monographs |
| Zusatzinfo | XXIV, 203 p. 55 illus., 51 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | artificial intelligence (incl. robotics) • Cognitive Systems • Computational Intelligence • Computer Vision Recognition • Computer Vision Software • Engineering • image processing and computer vision • Multimodal Computational Attention • pattern recognition • Robotics and Automation • Scene Recognition Software • Scene Understanding • Visual and Auditory Attention • Visual Saliency Models |
| ISBN-10 | 3-319-33794-7 / 3319337947 |
| ISBN-13 | 978-3-319-33794-4 / 9783319337944 |
| Zustand | Neuware |
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