• 제목/요약/키워드: multi-View

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다시점 영상 부호화에서 전역 변이 벡터를 이용한 고속 모드 결정 (Fast Mode Decision using Global Disparity Vector for Multi-view Video Coding)

  • 한동훈;조숙희;허남호;이영렬
    • 방송공학회논문지
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    • 제13권3호
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    • pp.328-338
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    • 2008
  • H.264/AVC기반의 다시점 영상 부호화 기술은 시점간 상관성을 이용한 새로운 예측 방법을 이용하여 여러 대의 카메라로부터 촬영된 영상을 효율적으로 부호화하는 기술이다. 그러나 다시점 부호화 기술은 시점의 증가와 시점간 예측의 사용으로 인해 부호화 시간이 크게 증가한다. 본 논문은 부호화 시간을 줄이기 위해 다시점 영상에서 시점간에 대응하는 마크로블록 (Macroblock) 기반 영역 분할 정보와 시점간의 전역 변이 벡터를 이용한 고속 모드 결정 방법을 제안한다. 제안하는 방법은 다시점 영상 부호화 표준의 참조 소프트웨어인 joint multi-view video model (JMVM) 4.0에 비해 약 0.04dB의 화질 열화를 보이지만 전체 부호화 시간을 평균적으로 40% 단축할 수 있었다.

계층적 깊이 영상으로 압축된 다시점 비디오에 대한 디지털 워터마크 기술 (Digital Watermarking Technique of Compressed Multi-view Video with Layered Depth Image)

  • 임중희;신종홍;지인호
    • 한국인터넷방송통신학회논문지
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    • 제9권1호
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    • pp.1-9
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    • 2009
  • 본 논문에서는 리프팅 웨이브렛 변환을 이용한 디지털 영상의 워터마크 기술을 제안하였다. 이 워터마크 기술은 쉽게 비디오와 관련된 콘텐트에 대한 워터마크 기술로 확장 될 수 있다. 그래서 깊이 정보를 포함하는 다시점 영상을 효과적으로 압축할 수 있는 계층적 깊이 영상 구조라는 새로운 콘텐트에 제안 기술을 적용하였다. 이 방법은 기준 시점 영상에만 워터마크를 삽입하므로 그 과정이 간단하다는 장점을 가진다. 그리고 계층적 깊이 영상 구조의 특성상 나머지 시점 영상으로 워터마크가 전파되므로 모든 시점 영상에 대하여 저작권을 보호할 수 있다는 장점도 가지고 있다.

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H.264/AVC에서 다시점 비디오 부호화를 위한 향상된 GoGOP 구조 (An Improved GoGOP Structure for Multi-view Video Coding in H.264/AVC)

  • 신광무;이서영;김성민;정기동
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권3호
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    • pp.271-275
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    • 2008
  • 근래의 지속적인 멀티미디어 기술의 발전과 컨덴츠를 이용하는 사용자의 향상된 욕구가 부합하여 새로운 실감 미디어 기술이 창출되고 있다. 그 중에서 다시점 비디오는 3차원 TV, 자유 시점 비디오 등의 기반 기술로써 활발하게 연구되고 있다. 하지만 시점 수의 증가에 따른 부호화 시간 증가, 비트율 증가 등이 문제점으로 작용한다. 본 논문에서는 다시점 비디오의 부호화 효율을 높이기 위해 향상된 GoGOP 구조를 제안한다. 즉, Key 프레임 위치 조절, 동적인 I 프레임 수 그리고 동적인 B 프레임 수를 이용하는 방법을 적용하여 향상된 GoGOP 구조를 제안하였다. 실험 결과, 본 논문에서 제안한 기법이 Anchor 구조와 비교하여 유사한 PSNR 값을 가지면서, 비트율이 상당히 감소하였다.

Multi-view Clustering by Spectral Structure Fusion and Novel Low-rank Approximation

  • Long, Yin;Liu, Xiaobo;Murphy, Simon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권3호
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    • pp.813-829
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    • 2022
  • In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

인터랙티브 초다시점 콘텐츠 제작 기술 (Interactive Super Multi-view Content Technology)

  • 정재숙;김상원;허기수;정일권
    • 전자통신동향분석
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    • 제32권5호
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    • pp.39-48
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    • 2017
  • Since the world's first 3D commercial film with red-blue glasses was introduced in 1922, remarkable progress has been made in the field of 3D video. 3D video content gained enormous popularity with the movie "Avatar," which greatly increased the sale of 3D TVs. This momentum has weakened owing to lack of 3D content. However, the recent trend of virtual reality (VR) and augmented reality (AR) made 360 VR video and 3D games using a head mounted display wide spread. All these experiences mentioned above require wearing glasses to enjoy 3D content. Super multi-view content technology, on the other hand, enables viewers to enjoy 3D content without glasses on a super multi-view display. In this article, we introduce the technologies used to make super multi-view content, interact with it, and author content, which are developed by ETRI.

다시점 비디오 부호화를 위한 움직임 벡터들의 상관성을 이용한 움직임 추정 기법 (Motion Estimation Method Based on Correlations of Motion Vectors for Multi-view Video Coding)

  • 윤효순;김미영
    • 한국멀티미디어학회논문지
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    • 제21권10호
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    • pp.1131-1141
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    • 2018
  • Motion Estimation which is used to reduce the redundant data plays an important role in video compressions. However, it requires huge computational complexity of the encoder part. And therefore many fast motion estimation methods has been developed to reduce complexity. Multi-view video is obtained by using many cameras at different positions and its complexity increases in proportion to the number of cameras. In this paper, we proposed a fast motion estimation method for multi-view video. The proposed method predicts a search start point by using correlated candidate vectors of the current block. According to the motion size of the start search point, a search start pattern of the current block is decided adaptively. The proposed method proves to be about 2 ~ 5 times faster than existing methods while maintaining similar image quality and bitrates.

Balanced bitrate control of multiple videos in transcoding for multi-view service

  • Gankhuyag, Ganzorig;Choe, Yoonsik
    • International Journal of Internet, Broadcasting and Communication
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    • 제7권2호
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    • pp.168-172
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    • 2015
  • In this paper, a balanced bitrate control in transcoding process based on video complexity measure for multi-view system which simultaneously shows multiple channels or video contents in single screen, is proposed. In order to consider the total quality of multiple video streams, the proposed algorithm reduces the complexity of multiple video stream and video quality differences at the same time by controlling bitrates of each stream by weighting when they are stitched for single screen. For the measure of complexity and quality differences between video streams, two different data: histogram of macroblock type and bitrate for each stream are used. The experimental result indicates that proposed algorithm decreases fluctuation of quality difference between videos in the multi-view system.

Printed 3D Multi-View Images

  • Kim, Sung-Sik;Son, Kwang-Hun;Saveljev, V. V.;Son, Jung-Young
    • Journal of the Optical Society of Korea
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    • 제5권1호
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    • pp.29-31
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    • 2001
  • The technique to produce full-parallax 3D multi-view still pictures is described. The matrix of source views (from 6x6 to 15x15 views) is built from computer-generated images or from the natural images taken by a photo-camera. The matrix is processed in specially designed software and the resulting multi-view picture is generated. To display the large size (up to 0.4 m x 0.6 m) multi-view picture, the crossed lenticular screens of two types were used.

깊이영상의 전처리를 이용한 다시점 영상 생성 방법 (Multi-view Image Generation by Depth Map Preprocessing)

  • 이상범;김성열;호요성
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.697-698
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    • 2006
  • In this paper, we propose a new scheme to generate multi-view images using a depth-image-based rendering (DIBR) technique. In order to improve the quality of multi-view images at newly exposed areas during mesh-based rendering, we preprocess the depth map using a Gaussian smoothing filter. Previous algorithms apply a smoothing filter to the whole depth map even if the depth map is collapsed. After extracting objects from the depth map, we apply the smoothing filter to their boundaries. Finally, we cannot only maintain the depth quality, but also generate high quality multi-view images. Experimental results show that our proposed algorithm outperforms previous works and supports an efficient depth keying technique.

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A Perception-based Color Correction Method for Multi-view Images

  • Shao, Feng;Jiang, Gangyi;Yu, Mei;Peng, Zongju
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권2호
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    • pp.390-407
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    • 2011
  • Three-dimensional (3D) video technologies are becoming increasingly popular, as it can provide users with high quality and immersive experiences. However, color inconsistency between the camera views is an urgent problem to be solved in multi-view imaging. In this paper, a perception-based color correction method for multi-view images is proposed. In the proposed method, human visual sensitivity (VS) and visual attention (VA) models are incorporated into the correction process. Firstly, the VS property is used to reduce the computational complexity by removing these visual insensitive regions. Secondly, the VA property is used to improve the perceptual quality of local VA regions by performing VA-dependent color correction. Experimental results show that compared with other color correction methods, the proposed method can greatly promote the perceptual quality of local VA regions greatly and reduce the computational complexity, and obtain higher coding performance.