Presentation

Statistical Analysis and Consideration of Subjective Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method

Authors:
To read the file of this research, you can request a copy directly from the authors.

Abstract

Recently, we are able to watch 3D videos or movies increasingly without glasses. However, they are various stereological and evaluation methods for multi-view 3D with no glasses for image quality, and their display methods are not unified. In this paper, we showed 3D CG images with 8 viewpoints lenticular lens method by ACR and DSIS methods, when we analyzed the results statistically with subjective evaluation. The experiment examined whether or not assessor were able to comfortable view the images by degree of camera’s interval and viewpoints, and whether or not they perceive or annoy degree of coded degradation at certain viewpoints.

No file available

Request Full-text Paper PDF

To read the file of this research,
you can request a copy directly from the authors.

... When we displayed a 3D image on the 3D display, we performed real-time parallax mix automatically using a media player provided by Newsight Corporation [16]. Furthermore, we defined the CG camera interval based on the experiment results reported in [17]. Figure 6 shows the presentation order and image sequence time for the experiment (DSIS: Double Stimulus Impairment Scale). ...
... This cycle was defined as one set, and we repeated the cycle until the last set. When the assessors performed the subjective evaluation for longer than 30 minutes, they suffered from accumulated fatigue (such as visual fatigue) [17][18][19]. Therefore, when the subjective evaluation time was longer than 30 minutes, we divided the assessors' subjective evaluation time into intervals of several seconds each. ...
Article
Full-text available
Thus far, we have studied multi-view 3D image quality evaluation, including visible digital watermarking, in the case of considering coded degradation, region, resistance, and number of viewpoints. As a result, the more we process watermarking in the low frequency domain, the more the assessment tends toward independence from image or video patterns. However, we do not consider color information in the case where we generate digital watermarking images. In this paper, first, for the 3D CG images encoded and decoded by H.265/HEVC with 8 Viewpoints Parallax Barrier Method, we process the wavelet transformation, and perform embedding for the arrangement of the high and low frequency domain (LL3, HL3, LH3) in the same frequency level per viewpoint. Next, we evaluate the generated image, analyze the results, and classify for RGB pattern and coded degradation using SVM (Support Vector Machine).
Presentation
Previously, there were many studies about the image quality evaluation based on S-CIELAB color space including the spatial frequency characteristics of human vision system. It is not obvious to what extent was accepted for the assessors when we see the 3D image which the luminance change may affect the stereoscopic effect and assessment generally. Similarly, it is not obvious when we see the multi-view 3D image. As represented by ROI (Region Of Interest), it is important where the assessors are interested in or focused on the part of the 3D image when they see the 3D image. Seeing the content creators, we consider that they create expecting for users to focus on the object region than the background region. Therefore, we considered that we need to verify by subjective evaluation experiment to what extent was not interfered with regard to the contrast enhancement and the coded degradation. Furthermore, we consider that we are able to become to carry out the general evaluation for the luminance component using both S-CIELAB color space and CIEDE2000, in addition to the subjective evaluation. In this paper, first, we carried out the subjective evaluation experiment for the contrast enhancement of the object region in an image with 8 viewpoints parallax barrier method. Next, we analyzed their results statistically using a Support Vector Machine (SVM). On the other hand, we evaluated objectively about luminance value measurement using CIEDE2000 in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not.
Presentation
In this paper, we processed the contrast enhancement for multi-view 3D image, therefore, we changed luminance. Next, we generated image by composing each view image by coding H.265/HEVC. Then, we carried out the subjective evaluation about generating image. On the other hand, we evaluated objectively about luminance value measurement by using color difference (such as CIEDE2000) in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not. Finally, we analyzed their results statistically using a Support Vector Machine (SVM).
Poster
Until now, there have been many studies about image quality for multi-viewpoint 3D images. Particularly, as represented by ROI (Region Of Interest), it becomes important that users are interested in or focused on what region or area. Also, in the multi-viewpoint 3D still images, it's not clearly that users focused on objects or background in their images since there are many viewpoints. Until now, there were the case studies considered about the coded degradation for 2D videos, binocular 3D videos. However, there were not case studies for multi-viewpoint 3D, and their results were not cleared. In this paper, we demonstrated image quality assessment in the case of occurring the coded degradation for objects or background region with 8 viewpoints parallax barrier method, and we analyzed experimental results.
Article
Full-text available
Recently, we are able to watch 3D videos or movies increasingly without glasses. However, they are various stereological and evaluation methods for multi-view 3D with no glasses for image quality, and their display methods are not unified. In this paper, we showed 3D CG images with 8 viewpoints lenticular lens method by ACR and DSIS methods, when we analyzed the results statistically with subjective evaluation. The experiment examined whether or not assessor were able to comfortable view the images by degree of camera’s interval and viewpoints, and whether or not they perceive or annoy degree of coded degradation at certain viewpoints.
Article
Recently, the use of 3D video systems without glasses has increased, and therefore 3D image quality and presence evaluation is important. There are various stereo-logical image quality evaluation methods for multi-view 3D systems without glasses. However, there is no uniform method for evaluating 3D video systems. In this study, we focus on camera interval and JPEG coding degradation with a multi-view 3D system. Previously, many studies have examined camera interval or JPEG coding degradation with 3D glasses or the binocular method. In such systems, viewers perceive stereoscopic and depth effects. Moreover, they can see from different angles, increasing viewpoints with multi-view 3D systems. However, viewers feel discomfort when changing their viewpoint. Hence, we consider, in particular, the accommodation of the camera interval and JPEG coding degradation while changing viewpoints. We have performed subjective evaluations using the absolute category rating system to assess the effects of changing the camera interval of 3D CG images or video content using an 8 viewpoint lenticular lens method. We measure assessors' ability to identify the degree of the camera interval. We analyze the results of our subjective evaluations statistically and discuss the results. Using the optimal camera interval, we perform a subjective quality evaluation employing the double stimulus impairment scale to determine assessors' ability to identify JPEG coding degradation by degree. The experimental results of this subjective evaluation are also statistically analyzed.
Article
These days, we have a good chance to watch 3D movies at home or movie theater. However, there is various form of stereogram or display style, and these haven’t ever unified officially yet. In addition, there is no standardization for evaluating objective video quality of 3D movies. For constructing a better viewing environment, a suitable viewing condition about the presence, depth, and nature of the stereoscopic vision should be known. In this paper, in order to find out the viewing conditions better, we experimented image quality evaluation of 3D CG images with 8 viewpoints lenticular lens method, and considered in detail.
Poster
These days, we have a good chance to watch 3D movies at home or movie theater. However, there is various form of stereogram or display style, and these haven’t ever unified officially yet. In addition, there is no standardization for evaluating objective video quality of 3D movies. For constructing a better viewing environment, a suitable viewing condition about the presence, depth, and nature of the stereoscopic vision should be known. In this paper, in order to find out the viewing conditions better, we experimented image quality evaluation of 3D CG images with 8 viewpoints lenticular lens method, and considered in detail.
Article
Stereoscopic three-dimensional (3-D) services do not always prevail when compared with their two-dimensional (2-D) counterparts, though the former can provide more immersive experience with the help of binocular depth. Various specific 3-D artefacts might cause discomfort and severely degrade the Quality of Experience (QoE). In this paper, we analyze one of the most annoying artefacts in the visualization stage of stereoscopic imaging, namely, crosstalk, by conducting extensive subjective quality tests. A statistical analysis of the subjective scores reveals that both scene content and camera baseline have significant impacts on crosstalk perception, in addition to the crosstalk level itself. Based on the observed visual variations during changes in significant factors, three perceptual attributes of crosstalk are summarized as the sensorial results of the human visual system (HVS). These are shadow degree, separation distance, and spatial position of crosstalk. They are classified into two categories: 2-D and 3-D perceptual attributes, which can be described by a Structural SIMilarity (SSIM) map and a filtered depth map, respectively. An objective quality metric for predicting crosstalk perception is then proposed by combining the two maps. The experimental results demonstrate that the proposed metric has a high correlation (over 88%) when compared with subjective quality scores in a wide variety of situations.
Conference Paper
Most quality models for stereoscopic presentations are dedicated to measuring quality degradation caused by compression artefacts. However, non-compression distortions induced during acquisition and presentation usually have significant influence on 3D viewing experience. In this paper, we propose an objective metric for viewing experience assessment by taking camera baseline and binocular distortion crosstalk into consideration. In particular, the proposed metric is based on our previous work on both subjective evaluation and objective assessment of crosstalk perception. Results on a publicly available stereoscopic quality database demonstrate that the proposed metric can achieve more than 87% correlation with subjective assessment of viewing experience.
Yuukou Horita, Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method
  • Norifumi Kawabata
  • Keiji Shibata
  • Yasuhiro Inazumi
Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita, Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method, IEICE IE / MVE, Mar 2012 (in Japanese).
Yuukou Horita, Video Quality Evaluation of three-dimensional CG Movies with Active Shutter Glasses
  • Norifumi Kawabata
  • Keiji Shibata
  • Yasuhiro Inazumi
Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita, Video Quality Evaluation of three-dimensional CG Movies with Active Shutter Glasses, IEICE IMQ, Mar 2011 (in Japanese).
Image Quality Evaluation of Three-Dimensional CG Images with 8 Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints
  • Norifumi Kawabata
  • Keiji Shibata
  • Yasuhiro Inazumi
  • Yuukou Horita
Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita, Image Quality Evaluation of Three-Dimensional CG Images with 8 Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints, IEICE IMQ, Oct 2012 (in Japanese).
Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints
Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints, IEICE IMQ, Oct 2012 (in Japanese).
Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method
  • Norifumi Kawabata
  • Keiji Shibata
  • Yasuhiro Inazumi
  • Yuukou Horita
Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita, Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method, IEICE IE / MVE, Mar 2012 (in Japanese).