A new HD and UHD video eye tracking dataset
| Autor: | Patrick Le Callet, Matthieu Perreira Da Silva, Toinon Vigier, Josselin Rousseau |
|---|---|
| Přispěvatelé: | Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Eye tracking
CCS Concepts General and reference → Evaluation business.industry Computer science Information systems → Multimedia databases 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION [SCCO.COMP]Cognitive science/Computer science 02 engineering and technology Video processing video UHD 050105 experimental psychology 0202 electrical engineering electronic engineering information engineering Visual attention 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Computer vision Artificial intelligence Visual angle business Visual saliency |
| Zdroj: | ACM Multimedia Systems 2016 ACM Multimedia Systems 2016, May 2016, Klagenfurt, Austria. pp.1-6, ⟨10.1145/2910017.2910622⟩ MMSys |
| DOI: | 10.1145/2910017.2910622⟩ |
| Popis: | International audience; The emergence of UHD video format induces larger screens and involves a wider stimulated visual angle. Therefore, its effect on visual attention can be questioned since it can impact quality assessment, metrics but also the whole chain of video processing and creation. Moreover, changes in visual attention from different viewing conditions challenge visual attention models. In this paper, we present a new HD and UHD video eye tracking dataset composed of 37 high quality videos observed by more than 35 naive observers. This dataset can be used to compare viewing behavior and visual saliency in HD and UHD, as well as for any study on dynamic visual attention in videos. It is available at http://ivc. univ-nantes.fr/en/databases/HD UHD Eyetracking Videos/. |
| Databáze: | OpenAIRE |
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