• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.81-90
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• 2010

This paper presents H.264 coding schemes for multi-view video using the concept of layered depth image(LDI) representation and efficient compression technique for LDI. After converting those data to the proposed representation, we encode color, depth, and auxiliary data representing the hierarchical structure, respectively, Two kinds of preprocessing approaches are proposed for multiple color and depth components. In order to compress auxiliary data, we have employed a near lossless coding method. Finally, we have reconstructed the original viewpoints successfully from the decoded approach that is useful for dealing with multiple color and depth data simultaneously.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.7
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• pp.495-502
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• 2013

Motion estimation (ME) that limits the performance of image quality and encoding speed has been developed to reduce temporal redundancy in video sequences and plays an important role in digital video compression. But it is computational demanding part of the encoder. Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. ME for Multi-view video requires high computational complexity. To reduce computational complexity and maintain the image quality, a fast motion estimation method is proposed in this paper. The proposed method uses a hierarchical search strategy. This strategy method consists of modified diamond search patten, multi gird diamond search pattern, and raster search pattern. These search patterns place search points symmetrically and evenly that can cover the overall search area not to fall into the local minimum or exploits the characteristics of the distribution of motion vectors to place the search points. Experiment results show that the speedup improvement of the proposed method over TZ search method (JMVC) can be up to 1.2 ~3 times faster while maintaining similar video quality and bit rates.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3A
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• pp.337-344
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• 2006

In this paper, we propose a multi-view video codec for 3DTV system. The proposed algorithm is not only to reduce the temporal and spatial redundancy but also to reduce the redundancy among each view. With these results, we can improve the coding efficiency for multi-view video sequences. In order to reduce the redundancy of each view more efficiently, we define the assembled image(AI) that is generated by the global disparity compensation of each view. In addition, the proposed algorithm is based on MPEG-2 structure so that we can easily implement 3DTV system without changing the conventional 2D digital TV system. Experimental results show that the proposed algorithm performs very well. It also performs better than MPEG-2 simulcast coding method. The newly proposed codec also supports the view scalability, accurate temporal synchronization among multiple views and random access capability in view dimension.

• Information and Communications Magazine
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• v.28 no.6
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• pp.21-30
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• 2011

본고에서는 안경식 3DTV가 가지고 있는 안경착용의 불편함을 해결할 수 있는 무안경 3DTV 개발을 위한 다시점 3D 영상 기술에 대해 기술한다. 다시점 3DTV 서비스를 위해서는 다시점 3D 영상 획득, 부호화 기술, 재현 및 디스플레이 기술 등의 개발이 필요하며, 본 고에서는 이들 기술에 대해 간략하게 소개하기로 한다.

• Information and Communications Magazine
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• v.27 no.3
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• pp.29-35
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• 2010

디지털 영상 기술의 발전과 함께 최근 3차원 영상 기술에 대한 관심이 높아지고 있다. 3차원 비디오는 고성능 비디오(high-performance video)와 함께 차세대 영상 기술로 각광받고 있다. 3차원 비디오는 사용자에게 자유로운 임의의 시점에서 입체감 있는 영상을 제공할 수 있다. 이 논문은 멀티미디어 전송에 관한 국제 표준화 기구인 MPEG의 다시점 비디오 부호화(multiview video coding, MVC)그룹과 3차원 비디오 부호화(3D video coding, 3DVC)그룹에서 다뤄진 3차원 비디오 부호화 기술을 소개한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.53-59
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• 2009

Multi-view video is necessary to develop a new compression encoding technique for storage and transmission, because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method by presentation of efficient layered depth image using real distance comparison, solution of overlap problem, and interpolation. In experimental results, confirmed high compression performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2C
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• pp.186-193
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• 2009

Multi-view video is necessary to develop a new compression encoding technique for storage and transmission, because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method by presentation of efficient layered depth image using real distance comparison, solution of overlap problem, and YCrCb color transformation. In experimental results, confirmed high compression performance and good reconstructed image.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.83-93
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• 2012

This paper proposes a method to efficiently encode multi-view color videos and depth maps. The proposed coding method for multi-view color videos and depth maps can improve the coding efficiency by additional inter-view prediction, as well as inter-frame prediction. By means of the proposed method, we achieved the coding gain of approximately 55% for 2-view color videos and approximately 12% for 2-view depth maps. For 3-view case, we found that the proposed system yields 54% of coding gain from outer view color videos and 56% of coding gain from center view color videos, respectively. Moreover, for 3-view depth map case, approximately 11% of coding gain from outer view and 13% of coding gain from center view are obtained with the proposed coder, respectively.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.713-725
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• 2014

Multi-view and 3D video technologies for a next generation video service are widely studied. These technologies can make users feel realistic experience as supporting various views. Because acquisition and transmission of a large number of views require a high cost, main challenges for multi-view and 3D video include view synthesis, video coding, and depth coding. Recently, JCT-3V (joint collaborative team on 3D video coding extension development) has being developed a new standard for multi-view and 3D video. In this paper, major tools adopted in this standard are introduced and evaluated in terms of coding efficiency and complexity. This performance analysis would be helpful for the development of a fast 3D video encoder as well as a new 3D video coding algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.8C
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• pp.703-711
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• 2007

In this paper, we propose a multi-view coding(MVC) algorithm with considering view scalability. The proposed algorithm has a high compression efficiency by reducing inter-view redundancy through inter-view decomposition, and adaptively reconstructs a multi-view video from an encoded bit stream. Furthermore, a reference view can be decoded by a traditional H.264/AVC, and the other views are adaptively decoded at the receiver by filtering to support view scalability. Experimental results show that the proposed algorithm performed better than the conventional H.264 codec even though it offers the view scalability.