Perceptual Characterization of 3D Graphical Contents based on Attention Complexity Measures
| Autor: | Matthieu Perreira Da Silva, Patrick Le Callet, Mona Abid |
|---|---|
| Přispěvatelé: | Image Perception Interaction (IPI), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), ANR-17-CE33-0005,PISCo,Niveaux de détails perceptuels pour la visualisation distante, interactive et immersive de scènes 3D riches(2017) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
media_common.quotation_subject 020207 software engineering Context (language use) 02 engineering and technology Benchmarking Rendering (computer graphics) Colored Human–computer interaction Perception [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing [INFO]Computer Science [cs] Performance indicator Quality of experience ComputingMilieux_MISCELLANEOUS media_common Coding (social sciences) |
| Zdroj: | MM '20: The 28th ACM International Conference on Multimedia MM '20: The 28th ACM International Conference on Multimedia, Oct 2020, Seattle WA USA, United States. pp.31-36, ⟨10.1145/3423328.3423498⟩ QoEVMA @ ACM Multimedia |
| Popis: | This paper provides insights on how to perceptually characterize colored 3D Graphical Contents (3DGC). In this study, pre-defined viewpoints were considered to render static graphical objects. For perceptual characterization, we used visual attention complexity (VAC) measures. Considering a view-based approach to exploit the perceived information, an eye-tracking experiment was conducted using colored graphical objects. Based on the collected gaze data, we revised the VAC measure, suggested in 2D imaging context, and adapted it to 3DGC. We also provided an objective predictor that highly mimics the experimental attentional complexity information. This predictor can be useful in Quality of Experience (QoE) studies: to balance content selection when benchmarking 3DGC processing techniques (e.g., rendering, coding, streaming, etc.) for human panel studies or ad hoc key performance indicator, and also to optimize the user's QoE when rendering such contents. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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