Visual Presence: Viewing Geometry Visual Information of UHD S3D Entertainment

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...

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Bibliographic Details
Published in:IEEE transactions on image processing 2016-07, Vol.25 (7), p.3358-3371
Main Authors: Oh, Heeseok, Lee, Sanghoon
Format: Article
Language:English
Subjects:
Binocular vision
Content analysis
Geometry
High definition
High definition video
Image processing
Paternity
Perception
Sensitivity
stereoscopic 3D
Three dimensional
Three-dimensional displays
Two dimensional displays
UHD
Viewing
viewing geometry
Visual
Visual presence
Visualization
volume of visual information
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Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2016.2567099