• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.270-272
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• 2011

다시점 비디오는 사용자들에게 자유로운 시점 선택 및 넓은 시점에서의 입체감을 제공하지만, 시점의 증가에 따른 데이터 량의 증가가 불가피하다. 이에 따라 최근 MPEG 에서는 재생되는 시점 수 보다 적은 수의 다시점 비디오와 그에 대응하는 깊이 영상 및 관련 파라미터를 메타데이터 형태로 제공하는 다시점 및 깊이 영상 부호화(MVD: Multiview plus Depth)에 대한 표준화를 진행하고 있다. 본 논문은 MVD 가 방송망에서 서비스되는 시나리오를 가정하여 다시점 비디오와 그에 대응하는 깊이 영상을 MPEG-2 TS(Transport Stream)로 전송하기 위한 기법을 제시한다. 제안한 기법은 기존의 단일 영상 및 깊이 영상을 전송하기 위한 부가비디오스트림 서술자(Auxiliary Video Stream Descriptor) 및 MPEG-C Part 3 표준을 확장하여 다시점 비디오와 그에 대응하는 깊이 영상간의 매핑 정보 및 각 시점의 깊이 파라미터를 제공할 수 있다.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.1-8
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• 2008

In this paper, an algorithm to compensate the inter-view mismatch in the multi-view video according to the different characteristics of cameras is presented. Interview mismatches make it difficult to merge the multi-view images and decrease the coding performance. So, a preprocessing operation to compensate the mismatches is requisite in the multi-view video coding. It is shown that the mismatch in the outputs of multi-view cameras with different electro-optical transfer functions can be approximated with a linear model of a gain and an offset. In addition, a new algorithm for estimating and compensating the inter-view mismatch based on the detection of the overlapped region is presented. Experimental results using various rectified stereo images show that the proposed method compensates inter-view mismatches more accurately compared to the conventional approach.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.35-45
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• 2018

Motion Estimation(ME) has been developed to reduce the redundant data in digital video signal. ME is an important part of video encoding system, However, it requires huge computational complexity of the encoder part, and fast motion search methods have been proposed to reduce huge complexity. Multi- view video is obtained by capturing on a three-dimensional scene with many cameras at different positions and its complexity increases in proportion to the number of cameras. In this paper, we proposed an efficient motion method which chooses a search pattern adaptively by using the temporal-spatial correlation of the block and the characteristics of the block. Experiment results show that the computational complexity reduction of the proposed method over TZ search method and FS method can be up to 70~75% and 99% respectively while keeping similar image quality and bit rates.

• The Magazine of the IEIE
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• v.32 no.9 s.256
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• pp.22-32
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• 2005

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.439-440
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• 2015

기존에 H.264를 기본 계층으로 SVC와 MVC를 결합한 스케일러블 다시점 비디오 부호화기를 SVC와 MVC의 DPB를 통합한 통합형 DPB(Decoded Picture Buffer) 설계를 바탕으로 구현하였다. 그러나 구현된 비디오 부호화기로 HD급 이상의 해상도를 갖는 영상을 압축하는데 있어서 효과적인 성능이 나오지 않았다. 이러한 이유로 SHVC와 MV-HEVC의 부호화 구조를 결합하여 고해상도 처리를 위한 스케일러블 다시점 부호화기 설계를 제안한다. 제안된 방법을 통해서 SHVC와 MV-HEVC가 통합된 스케일러블 다시점 비디오 부호화를 효율적으로 구현할 수 있을 것으로 예상한다.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.9-18
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• 2016

This paper proposes a multi-view Wyner-Ziv Video coding scheme based on spatio-temporal adaptive estimation. The proposed algorithm is designed to search for a better estimated block with joint bi-directional motion estimation by introducing weights between temporal and spatial directions, and by classifying effectively the region of interest blocks, which is based on the edge detection and the synthesis, and by selecting the reference estimation block from the effective motion vector analysis. The proposed algorithm exploits the information of a single frame viewpoint and adjacent frame viewpoints, simultaneously and then generates adaptively side information in a variety of closure, and reflection regions to have a better performance. Through several simulations with multi-view video sequences, it is shown that the proposed algorithm performs visual quality improvement as well as bit-rate reduction, compared to the conventional methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.651-660
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• 2010

In this paper, we implement an efficient histogram-based prefiltering to compensate the illumination mismatches in regions between neighboring views. In multi-view video, such illumination disharmony can primarily occur on account of different camera location and orientation and an imperfect camera calibration. This discrepancy can cause the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be exploited to make up for these differences in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However general frames of multi-view video sequence are composed of several regions with different color composition and their histogram distribution which are mutually independent of each other. In addition, the location and depth of these objects from sequeuces captured from different cameras can be different with different frames. Thus we propose a new algorithm which classify a image into several subpartitions by its depth information first and then histogram matching is performed for each region individually. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional image-based algorithms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.9B
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• pp.1277-1282
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• 2001

스테레오스코픽 비디오 영상은 좌측영상과 우측영상으로 이루어진 한 쌍의 영상으로 구성되며, 이들 좌우 영상들 사이에는 높은 상관관계를 가진다. 스테레오 영상의 압축을 위한 부호화는 이들 좌우 영상의 높은 상관관계와 각 시각 내에서의 이웃 픽쳐와의 시간적 상관 관계를 모두 고려하여 이루어진다. 이 때, 왼쪽 영상의 정보는 기저층에서 처리하고 오른쪽 영상 정보는 상위 층에서 처리하는 것이 일반적이다. 본 논문은 MPEG-2 다시점 프로파일을 이용하여 입체영상 부호화 코덱을 구현할 때, 상위 층의 픽쳐 처리순서에 따라 부호화 효율이 어떻게 달라지는지를 분석하여, 실제 시스템 운용을 위한 코덱 구조를 제안하였으며, DTV 및 HDTV급 스테레오 시퀀스를 사용한 실험을 통하여 검증하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.29-37
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• 2014

Since multi-view video exists a number of camera color image and depth image, it has a huge of data. Thus, a new compression technique is indispensable for reducing this data. Recently, the effective compression encoding technique for multi-view video that used in layered depth image concepts is a remarkable. This method uses several view point of depth information and warping function, synthesizes multi-view color and depth image, becomes one data structure. In this paper we use actual distance for solving overlap in layered depth image that reduce required data for reconstructing in color-based transform. In experimental results, we confirmed high compression performance and good quality of reconstructed image.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.935-944
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• 2013

In this paper, a new illumination compensation algorithm by segmentation with depth information is proposed to improve the coding efficiency of multi-view images. In the proposed algorithm, a reference image is first segmented into several layers where each layer is composed of objects with a similar depth value. Then we separate objects from each other even in the same layer by labeling each separate region in the layered image. Then, the labeled reference depth image is converted to the position of the distortion image view by using 3D warping algorithm. Finally, we apply an illumination compensation algorithm to each of matched regions in the converted reference view and distorted view. The occlusion regions that occur by 3D warping are also compensated by a global compensation method. Through experimental results, we are able to confirm that the proposed algorithm has better performance to improve coding efficiency.