A Perception-Based Framework for Wide Color Gamut Content Selection

Lee, Junghyuk; Vigier, Toinon; Callet, Patrick Le; Lee, Jong-Seok

doi:10.1109/icip.2018.8451497

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…In order to approximate the subjective score of the color difference due to gamut reduction in an objective manner, we employ the color extension of the structural similarity index (cssim) [49], [50], which can effectively measure perceptually significant structural differences due to gamut reduction between two color images. The preliminary study [1] shows that it performs best with the highest accuracy among eight commonly-used objective color difference metrics [51], [52], [53], [54], [55], [56], [57].…”

Section: Fitting Objective Metricmentioning

confidence: 99%

“…In this paper, we propose a novel framework to characterize WCG contents and its applications. 1 We note that WCG contents are frequently exposed to the gamut mapping processes targeting diverse displaying environments. Therefore, it is important to consider the perceptual difference caused by gamut reduction for the WCG contents.…”

Section: Introductionmentioning

confidence: 96%

“…We demonstrate that the reliability of the benchmarking is maximized by content selection using the proposed framework. Note that this paper has distinguished contributions compared to our preliminary work [1] in various respects. While the preliminary work only introduces the basic idea of the proposed framework, this paper provides its detailed description and further analysis along with the shared source code.…”

Section: Introductionmentioning

confidence: 99%

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Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

Lee

Vigier

Callet

et al. 2021

IEEE Trans. Multimedia

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In this paper, we propose a novel framework to characterize a wide color gamut image content based on perceived quality due to the processes that change color gamut, and demonstrate two practical use cases where the framework can be applied. We first introduce the main framework and implementation details. Then, we provide analysis for understanding of existing wide color gamut datasets with quantitative characterization criteria on their characteristics, where four criteria, i.e., coverage, total coverage, uniformity, and total uniformity, are proposed. Finally, the framework is applied to content selection in a gamut mapping evaluation scenario in order to enhance reliability and robustness of the evaluation results. As a result, the framework fulfils content characterization for studies where quality of experience of wide color gamut stimuli is involved.Index Terms-Wide color gamut, color gamut mapping, content characterization, content selection, quality of experience.

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Section: Fitting Objective Metricmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

Lee

Vigier

Callet

et al. 2021

IEEE Trans. Multimedia

Self Cite

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“…), and its semantic category (e.g., sports, news, movies, etc.). Ad hoc measures have been suggested and used for various Quality of Experience (QoE) use cases: spatial and temporal complexity of a 2D video sequence [21], colorfulness of the visual information [9], depth features [29] and disparity [16] for stereoscopic 3D video, dynamic range features or gamut characterisation for HDR [20] and wide color gamut contents [18]. In this study, we focus on visual patterns to characterize the graphical contents.…”

Section: Introductionmentioning

confidence: 99%

Perceptual Characterization of 3D Graphical Contents based on Attention Complexity Measures

Abid

Silva

Callet

2020

Proceedings of the 1st Workshop on Quality of Experience (QoE) in Visual Multimedia Applications

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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. CCS CONCEPTS• Computing methodologies → Perception; Interest point and salient region detections.

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“…), and its semantic (e.g., sports, news, movies, etc.). In addition, specific measures have been proposed in the literature, for example to quantify the spatial and temporal complexity of a 2D video sequence [3], the colorfulness of the visual information [4], depth features [5] and disparity [6] for 3D content, or to reflect perceptual issues related to the visualization for high dynamic range [7] and wide color gamut content [8].…”

Section: Introductionmentioning

confidence: 99%

Complexity measurement and characterization of 360-degree content

Simone¹,

Gutiérrez²,

Callet³

2019

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The appropriate characterization of the test material, used for subjective evaluation tests and for benchmarking image and video processing algorithms and quality metrics, can be crucial in order to perform comparative studies that provide useful insights. This paper focuses on the characterisation of 360-degree images. We discuss why it is important to take into account the geometry of the signal and the interactive nature of 360-degree content navigation, for a perceptual characterization of these signals. Particularly, we show that the computation of classical indicators of spatial complexity, commonly used for 2D images, might lead to different conclusions depending on the geometrical domain used to represent the 360-degree signal. Finally, new complexity measures based on the analysis of visual attention and content exploration patterns are proposed.

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A Perception-Based Framework for Wide Color Gamut Content Selection

Cited by 4 publications

References 14 publications

Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

Perceptual Characterization of 3D Graphical Contents based on Attention Complexity Measures

Complexity measurement and characterization of 360-degree content

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