• Title/Summary/Keyword: 비디오 영상 부호화

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Implementing Geometry Packing for MPEG Immersive Video (MPEG 몰입형 비디오를 위한 Geometry Packing 구현)

  • Jong-Beom, Jeong;Soonbin, Lee;Eun-Seok, Ryu
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.861-871
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    • 2022
  • The moving picture experts group (MPEG) developed the MPEG immersive video (MIV) standard for efficient compression of multiple immersive videos representing natural contents and computer graphics. The MIV compresses multiple immersive videos and generates multiple output videos which are defined as atlases. However, there is a synchronization issue of multiple decoders in a legacy device when decoding multiple encoded atlases. This paper proposes and implements the geometry packing method for adaptive control of decoder instances for low-end and high-end devices. The proposed method on the recent version of the MIV reference software worked correctly.

A Fine Granular Scalable Video Coding Algorithm using Frequency Weighting (주파수 특성을 이용한 미세 계위적 동영상 부호화 방법)

  • 김승환;호요성
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.6
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    • pp.124-131
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    • 2003
  • In this paper, we propose a Progressive scalable video coding algorithm using frequency weighting in the DCT domain. Since the human visual system (HVS) can be modeled as a nonlinear point transformation, called the modulation transfer function (MTF), we tan use the frequency weighting matrix to enhance the video image quality. We change this frequency weighting matrix into the frequency shift matrix to apply to the bit-plane coding method for the fine granular scalable (FGS) video coding We also define a new error metric JNDE (just noticeable difference) to measure the perceptual image quality in terms of human vision.

Fast Disparity Motion Vector Searching Method for the MV-HEVC (MV-HEVC에서 빠른 변위 움직임 벡터 탐색 방법)

  • Lee, Jae-Yung;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.240-252
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    • 2017
  • Multi-view video codec based on the High Efficiency Video Coding (MV-HEVC) has high encoding complexity because it exploits an additional reference picture for disparity compensation prediction (DCP) when the picture of dependent view is encoded. In this paper, we propose an efficient method to reduce the complexity of disparity motion vector search for the MV-HEVC. The proposed method includes the initial search point decision method using affine transform and the adaptive search range decision method. The simulation results show that the proposed method reduces the complexity of disparity motion vector search up to 90.78% with negligible coding efficiency degradation. Also the results show that the proposed method outperforms other conventional techniques reducing complexity.

Efficient parallelization implementation technique of PU-level ME for fast HEVC encoding (고속 HEVC 부호화를 위한 효율적인 PU 레벨 움직임예측 병렬화 구현 기법)

  • Park, Soobin;Choi, Kiho;Park, Sanghyo;Jang, Eueeseon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.11a
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    • pp.163-166
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    • 2012
  • 본 논문에서는 차세대 비디오 표준인 High Efficiency Video Coding(HEVC)의 영상 부호화 과정의 시간복잡도 감소를 위한 효율적인 Prediction Unit(PU)레벨 움직임예측(Motion Estimation, ME) 병렬화의 구현 기법을 제시하고자 한다. 움직임예측 과정은 부호화기에서 80%의 복잡도를 차지하는 과정으로 고속 부호화의 걸림돌이 되고 있다. 이를 해결하기 위한 방법으로 제안된 것이 움직임예측 알고리즘의 병렬화이다. 알고리즘 수준에서 ME 의 일부인 Merge Estimation 의 병렬화를 위해서 Merge Estimation Region (MER)기반의 ME 방법이 제안되었다. 하지만 HEVC Test Model reference software(HM)에 반영된 MER 을 이용하여 실제로 병렬화된 ME 를 구현하는 과정에서는 알고리즘 측면에서 아직 고려되지 않은 문제들이 존재한다. 이에 본 논문에서는 MER 을 사용한 안정적인 병렬 ME 를 구현하기 위한 전략으로 각 PU 의 정보를 독립적으로 사용하기 위한 부분 순차화 방법과 메모리 접근제한을 이용한 병렬화 방법을 제시한다. 실험을 통해 본 연구의 우수성이 확인되었는데, 제안된 방법에 기반을 둔 구현에서 순차적인 ME 를 이용한 부호화기 대비 평균 25.64%의 전체 부호화 과정 시간의 감소가 나타났다.

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Feature based Pre-processing Method to compensate color mismatching for Multi-view Video (다시점 비디오의 색상 성분 보정을 위한 특징점 기반의 전처리 방법)

  • Park, Sung-Hee;Yoo, Ji-Sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2527-2533
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    • 2011
  • In this paper we propose a new pre-processing algorithm applied to multi-view video coding using color compensation algorithm based on image features. Multi-view images have a difference between neighboring frames according to illumination and different camera characteristics. To compensate this color difference, first we model the characteristics of cameras based on frame's feature from each camera and then correct the color difference. To extract corresponding features from each frame, we use Harris corner detection algorithm and characteristic coefficients used in the model is estimated by using Gauss-Newton algorithm. In this algorithm, we compensate RGB components of target images, separately from the reference image. The experimental results with many test images show that the proposed algorithm peformed better than the histogram based algorithm as much as 14 % of bit reduction and 0.5 dB ~ 0.8dB of PSNR enhancement.

A Dynamic Video Adaptation Scheme based on Size and Quality Predictions (동영상 스트림 크기 및 품질 예측에 기반한 동적 동영상 적응변환 방법)

  • Kim Jonghang;Nang Jongho
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.2
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    • pp.95-105
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    • 2005
  • This paper proposes a new dynamic video adaptation scheme that could generate an adapted video stream customized to the requesting mobile device and current network status without repeated decode-encode cycles. In the proposed adaptation scheme, the characteristics of the video codec such as MPEG-1/-2/-4 are analyzed in advance focused on the relationships between the size and Quality of the encoded video stream, and they are stored in the proxy as a codec-dependent characteristic table. When a mobile device requests a video stream, it is dynamically decoded-encoded in the proxy with the highest quality to extract the contents-dependent attributes of the requested video stream. By comparing these attributes with codec-dependent characteristic table, the size and Quality of the requested video stream when being adapted to the target mobile device could be predicted. With this prediction, a version of adapted video stream, that meets the size constraints of mobile device while keeping the quality of encoded video stream as high as possible, could be selected without repeated decode-encode cycles. Experimental results show that the errors in our proposed scheme are less than 5% and produce an appropriate adapted video stream very quickly. It could be used t(1 build a proxy server for mobile devices that could quickly transcode the video streams widely spread in Internet which are encoded with various video codecs.

Hardware Architecture for PC-based MPEG-4 Video CODEC (PC 기반 MPEG-4 비디오 코덱 구현을 위한 하드웨어 아키텍쳐)

  • 곽진석;임영권;박상규;김진웅
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.86-93
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    • 1997
  • Fast growth of multimedia applications requires new functions for video data processing. such as obj;cted-based video representation and manipulation. which are not supported by 11PEG-l and 11PEG-2. To support these requirements. 11PEG-4 video coding allows users to manipulate every video object easily by decomposing a scene into several video objects and coding each of them independently. However. the large amount of computations and flexible structure of 11PEG-4 video CODEC make it difficult to be implemented by either the general purpose DSP or a dedicated VLSI. In this paper, we propose a hardware architecture using a hybrid of a high performance programmable DSP and an application specific IC to implement a flexible 11PEG-4 video codec requiring the large amount of computations. The application specific IC has the functions of motion estimation and compensation.

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Fast Scene Change Detection Algorithm in MPEG Compressed Video by Minimal Decoding (MPEG으로 압축된 비디오에서 최소 복호화에 의한 빠른 장면전환검출 알고리듬)

  • Kim, Gang-Uk;Lee, Jae-Seung;Kim, Jong-Hun;Hwang, Chan-Sik
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.343-350
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    • 2002
  • A scene change detection which involves finding a cut between two consecutive shots is an important step for video indexing and retrieval. This paper proposes an algorithm for fast and accurate detection of abrupt scene changes in an MPEG compressed domain with minimal decoding requirements arid computational effort. The proposed method compares two successive DC images of I-frames for finding the GOP (group of picture) which contain a scene change and uses macroblock-coded type information contained in B-frames to detect the exact frame where the scene change occurred. The experiment results demonstrate that the proposed algorithm has better detection performance, such as precision and recall rate, than the existing method using all DC images. The algorithm has the advantage of speed, simplicity and accuracy. In addition, it requires less amount of storage.

Efficient DCT Domain Transcoding for Video Transmission (영상 전송을 위한 효율적인 DCT 영역의 트랜스코딩)

  • Kim, Sung-Jin;Hwang, In-Kyung;Joung, Woong-Chan;Paik, Joon-Ki;Kim, Je-Woo;Song, Hyok;Paik, Jong-Ho
    • Journal of Broadcast Engineering
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    • v.6 no.2
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    • pp.121-130
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    • 2001
  • We propose an efficient DCT-domain video transcoding algorithm for flexible for bit-rate video communications. Video transcoding provides communication fiexibility by adaptively changing the bit-rate of compressed bit stream. During the transcoding process, adrift error is unavoidable because of the difference between reference images in the series of encoding and decoding. For solving the drift error problem, cascade pixel-domain transcoder (CPDT) has been proposed. CPDT, however, requires highly complex hardware and heavy computational overhead. In this paper we propose a DCT-domain transcoding technique, which enables efficient transcoding without any drift error. The proposed cascade DCT-domain transcoder (CDDT) is realized by new motion compensation and down-sampling methods in the DCT-domain.

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Decision of the Intra Prediction mode using Convolutional Neural Network (합성곱 신경망 기반의 화면 내 예측 모드 결정)

  • Jung, JiYeon;Lee, Yung-Lyul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.11a
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    • pp.24-26
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    • 2019
  • 본 논문에서는 최신 비디오 압축 표준인 HEVC 를 기반으로, 영상의 화면 내 예측 모드를 결정하기 위하여 기존의 RDO 프로세스 대신 합성곱 신경망을 접목시켜 예측 모드를 결정하는 연구를 진행하였다. 네트워크 학습에는 실제 화면 내 예측 모드를 결정하는 데 사용되는 데이터들이 사용되었다. 실험 결과 본 제안 기법은 HM 16.20 대비 0.05%의 부호화 성능 향상을 보였다.

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