&lt;title&gt;Stereoscopic conversion of monoscopic video by the transformation of vertical-to-horizontal disparity&lt;/title&gt;

Kim, Manbae; Song, Mun-Sup; Kim, Do-Kyoon; Choi, Kwang-Chul

doi:10.1117/12.307194

Cited by 14 publications

(9 citation statements)

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“…MVs of 8×8 pixel blocks can be interpolated based on an affine motion model: p are transform parameters. Given the available MVs of the current MB and its 8-neighboring ones (for intracoded MBs, there will be no MVs), at least 3 point-pairs (i.e., corresponding reference points of MBs between two consecutive frames) could be used to establish a system of equations (5). Parameters 6 1~p p can then be solved by using the least square error method.…”

Section: Initial Foreground Depth Estimationmentioning

confidence: 99%

“…The technique concerning the conversion of 2D videos to stereoscopic ones is commonly called 2D/3D video conversion [5]- [9], [11]- [15]. Up to now, there are two kinds of 2D/3D video conversion schemes.…”

Section: Introductionmentioning

confidence: 99%

“…One is to analyze image contents and then directly generate binocular images without depth estimation. For example, [5] proposed a method called MTD (Modified Time Difference), by which motion analysis is performed for each frame and then a time delay is determined according to the magnitude of the motion vector. Two binocular images are generated by selecting two frames with the obtained time delay.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A 2D to 3D conversion scheme based on depth cues analysis for MPEG videos

Lin

Yeh

Chen

et al. 2010

2010 IEEE International Conference on Multimedia and Expo

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In this article, we propose a 2D to 3D video conversion scheme for MPEG videos. The difficulty for 2D/3D conversion problem lies on depth estimation/ assignment with insufficient information. Our depth assignment is based on the analyses of multiple cues, e.g., motion parallax, atmospheric perspective, texture gradient, linear perspective, and relative height, separately for the foreground objects and the background area. To fit more kinds of videos, the proposed depth assignment scheme is content-adaptive by segmenting a video into shots and classifying each of them into three categories for different conversion schemes. Subjective experiments show that the 3D stereo video generated by using our depth assignment scheme and the Depth Image Based Rendering (DIBR) technique presents little difference to that created based on the depth ground truths.

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Section: Initial Foreground Depth Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A 2D to 3D conversion scheme based on depth cues analysis for MPEG videos

Lin

Yeh

Chen

et al. 2010

2010 IEEE International Conference on Multimedia and Expo

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“…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] . 2차원 평면 영상으로부터 영상의 입 체적인 특징을 파악하는 것은 쉬운 문제가 아니다.…”

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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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“…Basically, generation of 3D video from monoscopic 2D video input source [2][3][4][5][6][7][8][9][10] have been investigated for many years. Most of them are based on an estimated depth map of each frame and then using DIBR (Depth Image Based Rendering) [12] to synthesized the additional views.…”

Section: Introductionmentioning

confidence: 99%

Automatic 2D-to-3D video conversion technique based on depth-from-motion and color segmentation

Zhu

et al. 2010

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS

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Abstract-Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting 2D video content to stereoscopic 3D video displays. In this paper, an automatic monoscopic video to stereoscopic 3D video conversion scheme is presented using block-based depth from motion estimation and color segmentation for depth map enhancement. The color based region segmentation provides good region boundary information, which is used to fuse with block-based depth map for eliminating the staircase effect and assigning good depth value in each segmented region. The experimental results show that this scheme can achieve relatively high quality 3D stereoscopic video output.

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<title>Stereoscopic conversion of monoscopic video by the transformation of vertical-to-horizontal disparity</title>

Cited by 14 publications

References 0 publications

A 2D to 3D conversion scheme based on depth cues analysis for MPEG videos

A 2D to 3D conversion scheme based on depth cues analysis for MPEG videos

3D conversion of 2D video using depth layer partition

Automatic 2D-to-3D video conversion technique based on depth-from-motion and color segmentation

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