Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video

Hewage, Chaminda; Worrall, Stewart; Dogan, S.; Villette, S.; Kondoz, A.M.

doi:10.1109/jstsp.2009.2014805

Cited by 144 publications

(57 citation statements)

References 34 publications

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“…The equation for SSIM is shown below: Due to the multi-dimensional nature of 3D video (e.g., video quality, depth perception, naturalness, etc), these commonly used 2D objective quality assessment techniques cannot provide 100% accurate measurements for video quality and depth perception of 3D video [1]. Currently, assessing 3D video quality in a reliable way can only be per-5 5 formed using subjective quality assessment techniques conducted with real human observers.…”

Section: Similarity (Ssim)mentioning

confidence: 99%

“…The effects of varying ambient illumination context in the usage environment surrounding the user on the use and experience of video quality and depth perception of 3D video have been reported in our previous study [2]. Extending on this work, video quality and depth perception of 3D video are modeled considering ambient illumination context in this paper.Color-plus-depth map 3D video representation is employed for the research carried out in the paper since it has many advantages compared to the left and right 3D video representation, and has also been highly exploited in research and standardization activities to date [1].In order to model user perception of 3D video considering ambient illumination context, the video quality and depth perception of users towards 3D video are monitored under different ambient illumination conditions through a series of subjective experiments initially. Afterwards, video quality and depth perception models are developed by exploiting the results of the subjective experiments conducted.…”

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confidence: 99%

“…Due to its good SSIM is another objective quality measurement technique, which evaluates the structural distortion of a distorted video compared to the original one. SSIM is formed based on the fact that HVS is specialized in extracting structural information from a visual scene rather than the errors in the scene [9].The equation for SSIM is shown below: Due to the multi-dimensional nature of 3D video (e.g., video quality, depth perception, naturalness, etc), these commonly used 2D objective quality assessment techniques cannot provide 100% accurate measurements for video quality and depth perception of 3D video [1]. Currently, assessing 3D video quality in a reliable way can only be per-5 5 formed using subjective quality assessment techniques conducted with real human observers.…”

mentioning

confidence: 99%

“…Even though, there are commonly used 2D objective quality assessment models available in literature, which correlate with Human Visual System (HVS), these models cannot provide accurate video quality and depth perception assessments for 3D video due to the multi-dimensional nature of it (e.g., video quality, depth perception, naturalness, etc) [1]. Therefore, reliably assessing 3D video perception can only be performed using subjective quality assessment techniques currently, which are conducted with real human observers.…”

mentioning

confidence: 99%

“…Color-plus-depth map 3D video representation is employed for the research carried out in the paper since it has many advantages compared to the left and right 3D video representation, and has also been highly exploited in research and standardization activities to date [1].…”

mentioning

confidence: 99%

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Modeling user perception of 3D video based on ambient illumination context for enhanced user centric media access and consumption

Nur

Arachchi

Dogan

et al. 2011

Multimed Tools Appl

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Abstract-For enjoying 3D video to its full extent, it is imperative that access and consumption of it is user centric, which in turn ensures improved 3D video perception. Several important factors including video characteristics, users' preferences, contexts prevailing in various usage environments, etc have influences on 3D video perception. Thus, to assist efficient provision of user centric media, user perception of 3D video should be modeled considering the factors affecting perception. Considering ambient illumination context to model 3D video perception is an interesting research topic, which has not been particularly investigated in literature. This context is taken into account while modeling video quality and depth perception of 3D video in this paper. For the video quality perception model: motion and structural feature characteristics of color texture sequences; and for the depth perception model: luminance contrast of color texture and depth intensity of depth map sequences of 3D video are used as primary content related factors in the paper.Results derived using the video quality and depth perception models demonstrate that these models can efficiently predict user perception of 3D video considering the ambient illumination context in user centric media access and consumption environments.Index Terms-3D video, 3D user perception model, ambient illumination context, depth perception, user centric 3D media access and consumption, video quality perception. INTRODUCTION3-Dimensional (3D) video distribution and access in heterogeneous usage environments have posed significant research and technology development challenges for delivering 3D video to a wide range of users. These challenges have been exacerbated not only by the existence of different networking infrastructures, diverse user terminals, and numerous media content representations, but also by the users themselves and their various preferences and high levModeling User Perception of 3D Video Based on Ambient Illumination Context for Enhanced User Centric Media Access and Consumption 2 2 els of expectations. In turn, this has led the research efforts to focus on user centricity while providing media services rather than conventional purely technology orientated service provisions.Although the development of 3D video related technologies such as capture, representation, coding, transmission, rendering, etc are evolving promptly, the influence of these technologies on 3D perceptual quality to enrich proliferation of user centric 3D video applications into the consumer market has not been thoroughly investigated to date. One of the reasons for this is the lack of available 3D video perception models to predict the user perception towards 3Dvideo. Even though, there are commonly used 2D objective quality assessment models available in literature, which correlate with Human Visual System (HVS), these models cannot provide accurate video quality and depth perception assessments for 3D video due to the multi-dimensional nature of it (e.g., video qualit...

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Section: Similarity (Ssim)mentioning

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