&lt;title&gt;New television with 2D/3D image conversion technologies&lt;/title&gt;

Okino, Toshiyuki; Murata, Haruhiko; Taima, Kenji; Iinuma, T; Oketani, Kazunobu

doi:10.1117/12.237421

Cited by 33 publications

(14 citation statements)

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“…따라서 본 논문에서는 주관적 화질 평가를 수행하였다. 기존 기법으로는 대표적인 변환 기법인 MTD 기법 [2] 과 H.264로 압축된 영상으로부터 복호화 과정에서 얻게 되는 움직임 정보를 이용한 기법 [4] , 에지 방향성 히스 토그램을 이용한 기법 [10] 을 이용하였다. 주관적 화질 평가 는 DSCQS 방법을 이용하였고 정상으로 생각되는 10명의 평가자를 선별하여 입체감, 화면떨림 현상, 눈의 피로도 등 의 항목에 대하여 평가를 진행하였다 [17] .…”

Section: ⅳ 실험 결과 및 분석unclassified

“…Ross 현상은 정신물리학 이론으로써 양안의 시간 적인 지연이 입체감을 느끼는 원인이 된다는 것이다 [1] . 많 은 변환기법들이 제안되었으며 대표적인 자동변환 기법으 로는 T. Okino의 MTD(modified time difference) 기법 [2] , Y. Matsumoto의 운동 시차(motion parallax)를 이용한 스테 레오 동영상 변환기법 [3] 등이 있다. 압축 영상의 움직임 정보를 이용한 연구도 진행되었고 [4] , 영상의 깊이 정보를 추출하고 그에 따른 깊이감을 부여하여 변환하는 방법들 도 제안되었다 [5,6,7,8] .…”

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3D conversion of 2D video using depth layer partition

Kim¹,

Yoo²

2011

Journal of Broadcast Engineering

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In this paper, we propose a 3D conversion algorithm of 2D video using depth layer partition method. In the proposed algorithm, we first set frame groups using cut detection algorithm. Each divided frame groups will reduce the possibility of error propagation in the process of motion estimation. Depth image generation is the core technique in 2D/3D conversion algorithm. Therefore, we use two depth map generation algorithms. In the first, segmentation and motion information are used, and in the other, edge directional histogram is used. After applying depth layer partition algorithm which separates objects(foreground) and the background from the original image, the extracted two depth maps are properly merged. Through experiments, we verify that the proposed algorithm generates reliable depth map and good conversion results.

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Section: ⅳ 실험 결과 및 분석unclassified

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3D conversion of 2D video using depth layer partition

Kim¹,

Yoo²

2011

Journal of Broadcast Engineering

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“…The decision can be made by obtaining the difference image between the delayed image ( 1 t I − ) and the current image ( t I ) as seen in Eq. (11). If the resulting value is larger than a threshold T , it is classified as a global camera motion.…”

Section: ) Horizontal Imagementioning

confidence: 99%

“…T. Okino developed a dedicated digital video processor to perform 2D/3D conversion, employing a technique called "Modified Time Difference (MTD)" algorithm. The technology automatically converts ordinary 2D images into binocular parallax 3D images according to the detected motion of objects in images in real-time [11]. In Korea, researchers in Kangwon National University developed a 3D video conversion method using delayed images [12], and Soft4D Co. in Korea, developed a 3D conversion program for MPEG-2 video, called 3D Plus [13].…”

Section: Introductionmentioning

confidence: 99%

3D Conversion of 2D Video Encoded by H.264

Hong¹,

Ko²,

Seo³

et al. 2012

Journal of Electrical Engineering and Technology

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-In this paper, we propose an algorithm that creates three-dimensional (3D) stereoscopic video from two-dimensional (2D) video encoded by H.264 instead of using two cameras conventionally. Very accurate motion vectors are available in H.264 bit streams because of the availability of a variety of block sizes. 2D/3D conversion algorithm proposed in this paper can create left and right images by using extracted motion information. Image type of a given image is first determined from the extracted motion information and each image type gives a different conversion algorithm. The cut detection has also been performed in order to prevent overlapping of two totally different scenes for left and right images. We show an improved performance of the proposed algorithm through experimental results.

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“…Recently, some researchers and companies, such as Dynamic Digital Depth (DDD), HDlogix, Sony Image Works, and Victor Company of Japan, have paid much attention on this technique [4]. One kind of SVC methods [5][6][7] tries to create stereo effect (for a two-view display) without estimating the depth map. This kind of depth-free methods relies on its ability in analyzing motion information and then directly synthesizing the left-and right-views from the original image sequence.…”

Section: Introductionmentioning

confidence: 99%

A stereoscopic video conversion scheme based on spatio-temporal analysis of MPEG videos

Lin

Huang

Chen

et al. 2012

EURASIP J. Adv. Signal Process.

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In this article, an automatic stereoscopic video conversion scheme which accepts MPEG-encoded videos as input is proposed. Our scheme is depth-based, relying on spatio-temporal analysis of the decoded video data to yield depth perception cues, such as temporal motion and spatial contrast, which reflect the relative depths between the foreground and the background areas. Our scheme is shot-adaptive, demanding that shot change detection and shot classification be performed for tuning of algorithm or parameters that are used for depth cue combination. The above-mentioned depth estimation is initially block-based, followed by a locally adaptive joint trilateral upsampling algorithm to reduce the computing load significantly. A recursive temporal filter is used to reduce the possible depth fluctuations (and also artifacts in the synthesized images) resulting from wrong depth estimations. The traditional Depth-Image-Based-Rendering algorithm is used to synthesize the left-and right-view frames for 3D display. Subjective tests show that videos converted by our scheme provide comparable perceived depth and visual quality with those converted from the depth data calculated by stereo vision techniques. Also, our scheme is shown to outperform the well-known TriDef software in terms of human's perceived 3D depth. Based on the implementation by using "OpenMP" parallel programming model, our scheme is capable of executing in real-time on a multi-core CPU platform.

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<title>New television with 2D/3D image conversion technologies</title>

Cited by 33 publications

References 0 publications

3D conversion of 2D video using depth layer partition

3D conversion of 2D video using depth layer partition

3D Conversion of 2D Video Encoded by H.264

A stereoscopic video conversion scheme based on spatio-temporal analysis of MPEG videos

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