• Title/Summary/Keyword: stereo video coding

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Fast Disparity Vector Estimation using Motion vector in Stereo Image Coding (스테레오 영상에서 움직임 벡터를 이용한 고속 변이 벡터 추정)

  • Doh, Nam-Keum;Kim, Tae-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.5
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    • pp.56-65
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    • 2009
  • Stereoscopic images consist of the left image and the right image. Thus, stereoscopic images have much amounts of data than single image. Then an efficient image compression technique is needed, the DPCM-based predicted coding compression technique is used in most video coding standards. Motion and disparity estimation are needed to realize the predicted coding compression technique. Their performing algorithm is block matching algorithm used in most video coding standards. Full search algorithm is a base algorithm of block matching algorithm which finds an optimal block to compare the base block with every other block in the search area. This algorithm presents the best efficiency for finding optimal blocks, but it has very large computational loads. In this paper, we have proposed fast disparity estimation algorithm using motion and disparity vector information of the prior frame in stereo image coding. We can realize fast disparity vector estimation in order to reduce search area by taking advantage of global disparity vector and to decrease computational loads by limiting search points using motion vectors and disparity vectors of prior frame. Experimental results show that the proposed algorithm has better performance in the simple image sequence than complex image sequence. We conclude that the fast disparity vector estimation is possible in simple image sequences by reducing computational complexities.

3D 비디오 부호화 표준 기술

  • Park, Si-Nae;Sim, Dong-Gyu
    • The Magazine of the IEIE
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    • v.37 no.9
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    • pp.33-41
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    • 2010
  • 최근 디스플레이 기술의 비약적인 발전과 함께 3D 영화의 흥행으로 인해 국내 뿐 아니라 전 세계적으로 3DTV에 대한 관심이 높아지고 있다. 3DTV는 사람의 눈 사이의 간격 때문에 두 눈에 맺히는 상이 달라지는 양안시차의 원리를 이용하는 기술로, 두 눈에 맺힐 두 영상을 각각 획득하고, 이를 사람의 두 눈에 각각 보여지도록 하는 방식으로 3차원 입체 비디오를 실현하게 된다. 이를 위한 3D 비디오의 부호화 표준 기술로는 기존에 MPEG-2 stereo 및 MPEG-C part 2가 ISO/IEC MPEG을 통하여 제정된바 있으며, 최근에는 ITU-T의 VCEG과 ISO/IEC MPEG이 비디오 부호화 표준을 위하여 Joint Video Coding (JVT)를 구성하여, Multi-view Video Coding (MVC)를 제정하였다. 그리고 현재 진행되는 3D비디오 관련 표준화로는 MPEG에서 Free view-point TV (FTV)등의 응용을 위한 3DV라는 이름으로 차세대 비디오 표준을 준비하고 있다. 본 고에서는 기존에 MPEG을 통해 진행된 3DTV 관련 표준화 기술을 알아보고, 현재 진행되고 있는 3DTV 부호화 표준화 동향을 살펴본다.

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Luminance Correction for Stereo Images using Histogram Interval Calibration (히스토그램 구간 교정을 이용한 스테레오 영상의 휘도 보정)

  • Kim, Seaho;Kim, Hiseok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.12
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    • pp.159-167
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    • 2013
  • In stereo-view system, variations of target camera position or lighting conditions cause discrepancies on the luminance and chrominance components of stereo views. These discrepancies lead to inaccurate frame view prediction and low quality of 3 D video coding. In this paper, an efficient histogram interval calibration method is proposed for stereo-view coding, so as to compensate for the luminance component of target view. First the proposed method is analyzed by the histogram of the target image frame. Then, it divide two sections of histogram of that frame to correct the color discrepancies. Secondly, each section of the target frame is corrected the luminance component by identify the maximum matching region between the reference frame and the target frame. We have verified our proposed histogram matching method in comparison with the other color correction ones. Experimental results show that it can correct better luminance calibration results of PSNR(Peak Signal to Noise Ratio) and has less computation time.

Model-based Inter-view Mismatch Compensation Algorithm for Multi-view Video Coding (다시점 영상 부호화를 위한 모형 기반 시점간 비정합 보상 알고리즘)

  • Jeon, Yeong-Il;Lee, Si-Woong
    • 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.

High efficient 3D vision system using simplification of stereo image rectification structure (스테레오 영상 교정 구조의 간략화를 이용한 고효율 3D 비젼시스템)

  • Kim, Sang Hyun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.6
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    • pp.605-611
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    • 2019
  • 3D Vision system has many applications recently but popularization have many problems that need to be overcome. Volumetric display may process a amount of visual data and design the high efficient vision system for display. In case of stereo system for volumetric display, disparity vectors from the stereoscopic sequences and residual images with the reference images has been transmitted, and the reconstructed stereoscopic sequences have been displayed at the receiver. So central issue for the design of efficient volumetric vision system lies in selecting an appropriate stereo matching and robust vision system. In this paper, we propose high efficient vision system with the reduction of rectification error which can perform the 3D data extraction efficiently with low computational complexity. In experimental results with proposed vision system, the proposed method can perform the 3D data extraction efficiently with reducing rectification error and low computational complexity.

Real-time Stereo Video Generation using Graphics Processing Unit (GPU를 이용한 실시간 양안식 영상 생성 방법)

  • Shin, In-Yong;Ho, Yo-Sung
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.596-601
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    • 2011
  • In this paper, we propose a fast depth-image-based rendering method to generate a virtual view image in real-time using a graphic processor unit (GPU) for a 3D broadcasting system. Before the transmission, we encode the input 2D+depth video using the H.264 coding standard. At the receiver, we decode the received bitstream and generate a stereo video using a GPU which can compute in parallel. In this paper, we apply a simple and efficient hole filling method to reduce the decoder complexity and reduce hole filling errors. Besides, we design a vertical parallel structure for a forward mapping process to take advantage of the single instruction multiple thread structure of GPU. We also utilize high speed GPU memories to boost the computation speed. As a result, we can generate virtual view images 15 times faster than the case of CPU-based processing.

Stereo image compression based on error concealment for 3D television (3차원 텔레비전을 위한 에러 은닉 기반 스테레오 영상 압축)

  • Bak, Sungchul;Sim, Donggyu;Namkung, Jae-Chan;Oh, Seoung-jun
    • Journal of Broadcast Engineering
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    • v.10 no.3
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    • pp.286-296
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    • 2005
  • This paper presents a stereo-based image compression and transmission system for 3D realistic television. In the proposed system, a disparity map is extracted from an input stereo image pair and the extracted disparity map and one of two input images are transmitted or stored at a local or remote site. However, correspondences can not be determined in occlusion areas. Thus, it is not easy to recover 3D information in such regions. In this paper, a reconstruction image compensation algorithm based on error block concealment and in-loop filtering is proposed to minimize the reconstruction error in generating stereo image pair. The effectiveness of the proposed algorithm is shown in term of objective accuracy of reconstruction image with several real stereo image pairs.

DISPARITY ESTIMATION FOR 3DTV VIDEO COMPRESSION USING HUMAN VISUAL PROPERTY

  • Jo, Myeong-Hoon;Song, Woo-Jin
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.121-124
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    • 2001
  • For efficient transmission of 3DTV video signals, it is necessary to eliminate the inherent redundancy between the stereo image pairs. Though disparity estimation provides a powerful tool for eliminating the redundancy, it is very time consuming. This paper presents a novel disparity estimation scheme based on the human visual property. The disparity vectors of image blocks spatially adjacent to the current block are used as initial guesses fur the disparity vector of the current block. In addition, mixed-resolution coding is applied to reduce the computational complexity of disparity estimation. Through computer simulations on a stereoscopic sequence we show that the proposed method gives rise .to visually pleasing results with much reduced computational complexity.

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A Characterisitc Analysis Study of Android based Stereoscopic 3D Technology (안드로이드기반 스테레오스코픽 3D 기술 특성분석 연구)

  • Kim, Cheong Ghil
    • Journal of Satellite, Information and Communications
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    • v.8 no.2
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    • pp.68-73
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    • 2013
  • In recent years, the developments in 3D technologies have initiated the commercialization of 3D services on mobile devices. For this purpose, stereoscopic 3D technology is used, which enables 3D TV on mobile devices including smartphone with glasses-free 3D viewing. As a result, the issues related with stereo imaging have been spotlighted greatly. Especially, three MPEG coding standards are provided for mobile 3D services, namely H.264/AVC with and without SEI message and H.264/MVC. In this respect, this paper presents an overview of developments in stereoscopic technologies for mobile devices to gain some perspective on the changes and progress. in this paper, we verified the availability of android based stereoscipic 3D technology related with mobile 3D TV and Smartphone with special emphasis on 3D video format and 3D features by various technollogy characteristics analysis.