• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.110-122
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• 2014

As multimedia technologies develop, three-dimensional (3D) technologies are attracting increasing attention from researchers. In particular, video quality assessment (VQA) has become a critical issue in stereoscopic image/video processing applications. Furthermore, a human visual system (HVS) could play an important role in the measurement of stereoscopic video quality, yet existing VQA methods have done little to develop a HVS for stereoscopic video. We seek to amend this by proposing a 3D visual attention (3DVA) model which simulates the HVS for stereoscopic video by combining multiple perceptual stimuli such as depth, motion, color, intensity, and orientation contrast. We utilize this 3DVA model for pooling on significant regions of very poor video quality, and we propose no-reference (NR) stereoscopic VQA (SVQA) method. We validated the proposed SVQA method using subjective test scores from our results and those reported by others. Our approach yields high correlation with the measured mean opinion score (MOS) as well as consistent performance in asymmetric coding conditions. Additionally, the 3DVA model is used to extract information for the region-of-interest (ROI). Subjective evaluations of the extracted ROI indicate that the 3DVA-based ROI extraction outperforms the other compared extraction methods using spatial or/and temporal terms.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.49-59
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• 2012

Although 3D stereoscopic movies had been paid attention to a few times since the 1900's, the interest had not been last. Most researchers pointed out the reason came from human factors because the early in the 3D technology growth had to develop technological possibility to realize 3D videos and ignore the importance viewers' perspective. In the 2D video research, many studies have explored the factors which make people got immersed or involved and felt visual fatigue, but they have not been the main issues in the 3D research until now. The present research believes human factor issue is one of the most important parts to accelerate 3D industry and thus, we try to make reliable and valid assessments to evaluate 3D video which are perceived characteristics, impression, and presence.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.51-54
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• 2012

본 논문에서는 스테레오스코픽 비디오 응용 포맷(Stereoscopic video Application Format)을 기반으로 IP환경에서 3차원 광고, 홍보 및 교육 등에 직접적으로 적용될 수 있는 3D Push 서비스 시스템을 제안한다. 스테레오스코픽 비디오 응용 포맷은 모바일 및 고정형 환경에서 스테레오스코픽 비디오 저장 및 전송을 위한 파일 포맷으로서 다양한 3D 디바이스에 공통으로 적용될 수 있으며 국제표준(ISO/IEC 23000-11)으로 채택되었다. 제안한 시스템은 스테레오스코픽 콘텐츠를 토대로 프로그램 저작을 위한 저작 및 저장을 위한 저작도구, 저작된 프로그램을 스케줄링하고 각 클라이언트의 요청에 따라 전송 관리하는 서버 및 프로그램에 따라 자동 3D 디스플레이 및 사용자 인터랙션을 제공하는 플레이어로 구성된다. 또한, 제안하는 시스템은 국제표준을 토대로 다양한 3D 디바이스와 호환성을 제공하며 모바일 및 고화질 3차원 서비스를 제공할 수 있으며, 각 사이트 과금에 따라 3D 프리미엄 서비스 및 Non-tapeless기반의 원격관리 3D Push 서비스를 제공하는 장점을 가진다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.3 s.309
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• pp.68-75
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• 2006

In this paper, we propose an adaptive video watermarking method using human visual system(HVS) and characteristics of three-dimensional cosine transform (3D-DCT) cubes. We classify 3D-DCT cubes into three patterns according to the distribution of coefficients in the 3D-DCT cube: cube with motion and textures, cube with high textures and little motion, and cube with little textures and line motion. Images are also classified into three types according to the ratio of these patterns: images with motion and textures, images with high textures and little motion, and images with little textures and little motion. The proposed watermarking method adaptivelyinserts the watermark on the coefficients of the mid-range in the 3D-DCT cube using the appropriately learned sensitivity table and the proportional constants depending on the patterns of 3D-DCT cubes and types of images. Experimental results show that the proposed method achieves better performance in terms of invisibility and robustness than the previous method.

• Journal of Satellite, Information and Communications
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• v.8 no.2
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• pp.68-73
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• 2013

In recent years, the developments in 3D technologies have initiated the commercialization of 3D services on mobile devices. For this purpose, stereoscopic 3D technology is used, which enables 3D TV on mobile devices including smartphone with glasses-free 3D viewing. As a result, the issues related with stereo imaging have been spotlighted greatly. Especially, three MPEG coding standards are provided for mobile 3D services, namely H.264/AVC with and without SEI message and H.264/MVC. In this respect, this paper presents an overview of developments in stereoscopic technologies for mobile devices to gain some perspective on the changes and progress. in this paper, we verified the availability of android based stereoscipic 3D technology related with mobile 3D TV and Smartphone with special emphasis on 3D video format and 3D features by various technollogy characteristics analysis.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.415-416
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• 2006

In this paper, we proposed a new coding technique of digital hologram video using 3D scanning method and video compression technique. The proposed coding consists of capturing a digital hologram to separate into RGB color space components, localization by segmenting the fringe pattern, frequency transform using $M{\tiems}N$ (segment size) 2D DCT (2 Dimensional Discrete Cosine Transform) for extracting redundancy, 3D scan of segment to form a video sequence, motion compensated temporal filtering (MCTF) and modified video coding which uses H.264/AVC.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.232-248
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• 2014

A series of kernel regression (KR) algorithms, such as the classic kernel regression (CKR), the 2- and 3-D steering kernel regression (SKR), have been proposed for image and video super-resolution. In existing KR frameworks, a single algorithm is usually adopted and applied for a whole image/video, regardless of region characteristics. However, their performances and computational efficiencies can differ in regions of different characteristics. To take full advantage of the KR algorithms and avoid their disadvantage, this paper proposes a kernel regression framework for video super-resolution. In this framework, each video frame is first analyzed and divided into three types of regions: flat, non-flat-stationary, and non-flat-moving regions. Then different KR algorithm is selected according to the region type. The CKR and 2-D SKR algorithms are applied to flat and non-flat-stationary regions, respectively. For non-flat-moving regions, this paper proposes a similarity-assisted steering kernel regression (SASKR) algorithm, which can give better performance and higher computational efficiency than the 3-D SKR algorithm. Experimental results demonstrate that the computational efficiency of the proposed framework is greatly improved without apparent degradation in performance.

• Journal of Broadcast Engineering
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• v.18 no.4
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• pp.559-571
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• 2013

This paper has presented a few problems when the 2D video superimposed the overlay text was converted to the 3D stereoscopic video. To resolve the problems, it proposes the scenario which the original video is divided into two parts, one is the video only with overlay text graphic region and the other is the video with holes, and then processed respectively. And this paper focuses on research only to detect and extract the overlay text graphic region, which is a first step among the processes in the proposed scenario. To decide whether the overlay text is included or not within a frame, it is used the corner density map based on the Harris corner detector. Following that, the overlay text region is extracted using the hybrid method of color and motion information of the overlay text region. The experiment shows the results of the overlay text region detection and extraction process in a few genre video sequence.

• Journal of Broadcast Engineering
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• v.14 no.5
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• pp.601-615
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• 2009

This paper proposes an efficient depth-map coding method for generating virtual-view images in 3D-Video. Virtual-view images can be generated by the view-interpolation based on the depth-map of the image. A conventional video coding method such as H.264 has been used. However, a conventional video coding method does not consider the image characteristics of the depth-map. Therefore, this paper proposes an adaptive depth-map coding method that can select between the H.264/AVC coding scheme and the proposed gray-coded bit plane-based coding scheme in a unit of block. This improves the coding efficiency of the depth-map data. Simulation results show that the proposed method, in comparison with the H.264/AVC coding scheme, improves the average BD-rate savings by 7.43% and the average BD-PSNR gains by 0.5dB. It also improves the subjective picture quality of synthesized virtual-view images using decoded depth-maps.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.302-305
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• 2016

This paper proposes a boundary artifacts reduction method for synthesized views in 3D video system using Projection onto Convex Sets (POCS). In 3D video system, boundary artifacts are occurred in synthesized views by distorted depth map. In this paper, we analyze boundary artifacts, and show the experimental results by the proposed algorithm on various situations.