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视觉呈现:观看超高清3D娱乐的几何视觉信息。

Visual Presence: Viewing Geometry Visual Information of UHD S3D Entertainment.

出版信息

IEEE Trans Image Process. 2016 Jul;25(7):3358-3371. doi: 10.1109/TIP.2016.2567099. Epub 2016 May 11.

Abstract

To maximize the presence experienced by humans, visual content has evolved to achieve a higher visual presence in a series of high definition (HD), ultra HD (UHD), 8K UHD, and 8K stereoscopic 3D (S3D). Several studies have introduced visual presence delivered from content when viewing UHD S3D from a content analysis perspective. Nevertheless, no clear definition has been presented for visual presence, and only a subjective evaluation has been relied upon. The main reason for this is that there is a limitation to defining visual presence via the use of content information itself. In this paper, we define the visual presence for each viewing environment, and investigate a novel methodology to measure the experienced visual presence when viewing both 2D and 3D via the definition of a new metric termed volume of visual information by quantifying the influence of the viewing geometry between the display and viewer. To achieve this goal, the viewing geometry and display parameters for both flat and atypical displays are analyzed in terms of human perception by introducing a novel concept of pixel-wise geometry. In addition, perceptual weighting through analysis of content information is performed in accordance with monocular and binocular vision characteristics. In the experimental results, it is shown that the constructed model based on the viewing geometry, content, and perceptual characteristics has a high correlation of about 84% with subjective evaluations.

摘要

为了最大化人类所体验到的临场感,视觉内容已经发展到在一系列高清(HD)、超高清(UHD)、8K UHD和8K立体3D(S3D)中实现更高的视觉临场感。一些研究从内容分析的角度介绍了观看UHD S3D时内容所带来的视觉临场感。然而,尚未对视觉临场感给出明确的定义,并且仅依赖于主观评估。主要原因在于,通过使用内容信息本身来定义视觉临场感存在局限性。在本文中,我们针对每个观看环境定义视觉临场感,并通过定义一种名为视觉信息量的新度量来研究一种新颖的方法,以测量观看2D和3D内容时所体验到的视觉临场感,该方法通过量化显示器与观看者之间观看几何结构的影响来实现。为了实现这一目标,通过引入逐像素几何结构的新概念,从人类感知的角度分析了平面显示器和非典型显示器的观看几何结构和显示参数。此外,根据单眼和双眼视觉特性,通过对内容信息的分析进行感知加权。实验结果表明,基于观看几何结构、内容和感知特性构建的模型与主观评估具有约84%的高相关性。

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