• ETRI Journal
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• v.35 no.6
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• pp.980-989
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• 2013

The important requirements for stereo video retargeting are threefold: keeping temporal coherence, preventing depth distortion, and minimizing shape distortions of the retargeted video. To meet these requirements, the left and right video sequences are divided into groups of frames (GoFs), where the GoF is a basic unit for the seam carving and we assign a set of fixed seams for all frames within the GoF. To determine the fixed seams for each GoF, we need to find the GoF boundary in the video first. Then, the representative frame for each GoF is generated by considering the spatial saliency and temporal coherence. Also, the confidence of the stereoscopic correspondence between the left and right frames is considered to prevent depth distortion.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.943-950
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• 2011

In this paper, we presented an attention measurement method in 2D and 3D image/video to be applied for image and video retargeting and compressive processing. 2D attention is derived from the three main components, intensity, color, and orientation, while depth information is added for 3D attention. A rarity-based attention method is presented to obtain more interested region or objects. Displaced depth information is matched to attention probability in distorted stereo images and finally a stereo distortion predictor is designed by integrating low-level HVS responses. As results, more efficient attention scheme is developed from the conventional methods and performance is proved by applying for video retargeting.

• Journal of Broadcast Engineering
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• v.21 no.1
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• pp.66-75
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• 2016

In this paper, we present a new method to reduce crosstalk of a glasses-free three-dimensional (3D) display using a multi-view image processing technique. Since crosstalk makes the current view image mixed with its neighboring ones, the output 3D image becomes severely blurred. We apply adaptive depth retargeting and view gradient-based crosstalk inverse filtering onto a multi-view image to minimize crosstalk of the glasses-free 3D display. In addition, overflow and underflow pixels are compensated by epipolar image pixel interpolation so that visual artifacts are minimized. Experimental results show that the proposed method reduces crosstalk more efficiently than the previous work while improving 3D image quality.

• Journal of the Korea Computer Graphics Society
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• v.23 no.5
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• pp.67-73
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• 2017

We propose several techniques which can be employed in a 3D fitness program for monitoring and correcting user's posture. To implement a 3D fitness program, improved reference motion generating techniques and visualizing techniques are necessary. First, in order to understand the difference between the user and the reference movement of a professional, a retargeting method between two different body shapes are studied. Second, the problem of self-occlusion, which occurs when using a low-cost depth sensor to represent complex motions, is solved by using a sample database and time consistency. The system proposed in this paper evaluates the user's posture considering the physical characteristics of the user, and then provides feedback to the user.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.129-130
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• 2011

본 논문에서는 입체감을 보존하여 스테레오 영상의 크기를 조정하는 기법을 제안한다. 스테레오 영상의 디스패리티 데이터를 이용하여 좌우 영상의 중요 영역을 추출하고, 영상의 빈 공간을 인페인팅(inpainting) 기법을 통해 복원한다. 복원된 배경 영역의 크기를 선형적으로 조정하고, 중요 영역은 최대한 보존하도록 크기를 조정하여 배경 영역에 붙여 넣는다. 실험 결과 제안하는 알고리즘이 기존 이미지 크기 조정 기법보다 스테레오 영상의 중요 정보와 입체감을 왜곡하지 않고 보존함을 확인할 수 있었다.