Visual Quality Assessment of Stereoscopic Image and Video: Challenges, Advances, and Future Trends

Su, Chih‐Ying; Moorthy, Anush K.; Bovik, Alan C.

doi:10.1007/978-3-319-10368-6_7

Cited by 25 publications

(10 citation statements)

References 103 publications

(115 reference statements)

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“…Several research studies investigated the 3D display to indicate whether a 3D display was better than a 2D display [61][62][63]. A 3D display offers a new virtual system with factors that should attract increased attention [64,65]. For this study, a 3D product has the same meaning when applied to 3D handicraft products.…”

Section: Behavioral Intention (Bi)mentioning

confidence: 99%

Sentiment Level Evaluation of 3D Handicraft Products Application for Smartphones Usage

2021

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Three-dimensional (3D) technology has attracted users’ attention because it creates objects that can interact with a given product in a system. Nowadays, Thailand’s government encourages sustainability projects through advertising, trade shows and information systems for small rural entrepreneurship. However, the government’s systems do not include virtual products with a 3D display. The objective of this study was four-fold: (1) develop a prototype of 3D handicraft product application for smartphones; (2) create an online questionnaire to collect user usage assessment data in terms of five sentiment levels—strongly negative, negative, neutral, positive and strongly positive—in response to the usage of the proposed 3D application; (3) evaluate users’ sentiment level in 3D handicraft product application usage; and (4) investigate attracting users’ attention to handicraft products after using the proposed 3D handicraft product application. The results indicate that 78.87% of participants’ sentiment was positive and strongly positive under accept using 3D handicraft product application, and evaluations in terms of assessing attention paid by participants to the handicraft products revealed that positive and strongly positive sentiment was described by 79.61% of participants. The participants’ evaluation results in this study prove that our proposed 3D handicraft product application affected users by attracting their attention towards handicraft products.

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Section: Behavioral Intention (Bi)mentioning

confidence: 99%

Sentiment Level Evaluation of 3D Handicraft Products Application for Smartphones Usage

2021

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“…The perceptual quality measurement of 3D images that have been distorted is the topic of this study, which can be quite different from the perceptual quality measurement of 3D content. Further, 3D distortion measurement can be divided into two categories: subjective measurement and objective measurement [9]. Subjective measurement can provide accurate results but has many limitations, e.g., time-consuming, complex, tedious, and unsuitable for real-time systems [10].…”

Section: Introductionmentioning

confidence: 99%

Perceptual quality measurement of 3D images based on binocular vision

Zhou

2015

Appl. Opt.

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Three-dimensional (3D) technology has become immensely popular in recent years and widely adopted in various applications. Hence, perceptual quality measurement of symmetrically and asymmetrically distorted 3D images has become an important, fundamental, and challenging issue in 3D imaging research. In this paper, we propose a binocular-vision-based 3D image-quality measurement (IQM) metric. Consideration of the 3D perceptual properties of the primary visual cortex (V1) and the higher visual areas (V2) for 3D-IQM is the major technical contribution to this research. To be more specific, first, the metric simulates the receptive fields of complex cells (V1) using binocular energy response and binocular rivalry response and the higher visual areas (V2) using local binary patterns features. Then, three similarity scores of 3D perceptual properties between the reference and distorted 3D images are measured. Finally, by using support vector regression, three similarity scores are integrated into an overall 3D quality score. Experimental results for two public benchmark databases demonstrate that, in comparison with most current 2D and 3D metrics, the proposed metric achieves significantly higher consistency in alignment with subjective fidelity ratings.

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“…Thusly, it is necessary to design objective 3DIQM methods to automatically and robustly measure and analysis the quality of 3D image. Based on the availability of a reference stereopair, objective 3DIQM methods can be divided into three categories: full reference (FR), reducedreference [RR] and no/blind reference (NR/blind) methods [4,5].…”

Section: Introductionmentioning

confidence: 99%

Reduced-Reference 3D Image Quality Measurement via Spatial to Gradient Domain Feature Aggregation

Han

2021

J. Electr. Eng. Technol.

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Objective quality measurement of a three-dimensional (3D) image is a challenging issue in various 3D visual applications since it is influenced by multiple aspects such as binocular fusion, binocular rivalry and visual comfort, etc. Existing studies show that classic 2D and some 3D image quality measurement (IQM) are only perform well for symmetric distorted 3D images, but not able to evaluate the quality of asymmetrical distorted 3D images accurately. In this paper, based on the statistical characteristics of natural images and perceptual properties of human visual system (HVS), we propose a novel reduced-reference (RR) 3D quality assessment evaluator (R3DQAE) to deal with the characteristics of 3D images. Two key technical steps are involved in R3DQAE: the statistical characteristics of 3D images and the perceptual properties of HVS. Specifically, in spatial domain, the generalized Gaussian density fits of luminance wavelet coefficients and correlations of luminance and disparity wavelet coefficients are used to represent the statistical characteristics of 3D image. Furthermore, in gradient domain, the enhanced gradient magnitudes are computed by using neighborhood phase congruency information to weight the gradient magnitudes in a locally adaptive manner. Afterward, the entropy differencing of discrete wavelet transform coefficients of enhanced gradient magnitudes are extracted as the perceptual features of HVS. Finally, the qualities index of both the statistical characteristics of 3D image and the perceptual properties of HVS are combined to yield 3D image quality index. Experiments are performed on published 3D image quality assessment database show that the proposed model achieves highly competitive performance as compared with the state-of-the art some typical full-reference and RR 3DIQM models. Keywords3D image quality • Generalized Gaussian density (GGD) • Enhanced gradient magnitudes • Phase congruency (PC) and Human visual * Jian Ma

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Visual Quality Assessment of Stereoscopic Image and Video: Challenges, Advances, and Future Trends

Cited by 25 publications

References 103 publications

Sentiment Level Evaluation of 3D Handicraft Products Application for Smartphones Usage

Sentiment Level Evaluation of 3D Handicraft Products Application for Smartphones Usage

Perceptual quality measurement of 3D images based on binocular vision

Reduced-Reference 3D Image Quality Measurement via Spatial to Gradient Domain Feature Aggregation

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