• 제목/요약/키워드: performance video

검색결과 2,476건 처리시간 0.032초

Adaptive Leaky Factor Determination for Robust Video Transmission over Error-Prone Networks

  • Kim, Jun-Hyung;Hwang, Min-Cheol;Wang, Tae-Shick;Nam, Ju-Hun;Ko, Sung-Jea
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.263-266
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    • 2009
  • When video packets are transmitted over error-prone networks, the leaky prediction can be used to mitigate the effect of error propagation. The leaky factor provides trade-off between coding efficiency and error resilience in the leaky prediction. In this paper, we propose an improved leaky prediction method where the leaky factor is adaptively determined for each frame by minimizing the estimated end-to-end distortion at the encoder. Experimental results show that the proposed method with the adaptive leaky factor shows the better performance of the error robustness as compared with the conventional method.

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웨이브릿 패킷 알고리즘을 이용한 3차원 비디오 서브밴드 코딩 (Three-Dimensional Subband Coding of Video using Wavelet Packet Algorithm)

  • 추형석;안종구
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권11호
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    • pp.673-679
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    • 2005
  • This Paper presents the 3D wavelet transformation based video compression system, which possesses the capability of progressive transmission by increasing resolution and increasing rate for multimedia applications. The 3D wavelet packet based video compression system removes the temporal correlation of the input sequences using the motion compensation filter and decomposes the spatio-temporal subband using the spatial wavelet packet transformation. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.49dB PSNR performance of the reconstructed image in comparison with that of H.263. In addition to the limitation on the propagation of the motion compensation error by the 3D wavelet transformation, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.

스테레오 비디오 카메라에 의한 운동물체의 위치추적 (Tracing of Moving Objects by Stereo Video Cameras)

  • Lee, Chang-Kyung
    • 한국측량학회지
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    • 제15권2호
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    • pp.185-193
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    • 1997
  • While close range photogrammetry has been widely applied for static deformation analysis, video cameras have many characteristics that make them the sensors of choice for dynamic analysis of rapidly changing situations. They also have limitations. The aim of this research is to explore the potential of a video system for monitoring dynamic objects. A pilot system consists of two camcorders, VCR, and PC with frame grabber. To estimte the performance of this system for moving objects, a car was imaged covering several phases when starting to drive. The sequential images of a moving car were recorded on VCR. 15 images per second were digitized in an off-line mode by frame grabber. The image coordinates of targets attached to the rear bumper of a car were acquired by IDRISI, and the object coordinates were derived based on DLT. This research suggests that home video cameras, PC, and photogrammetric principles are promising tools for monitoring of the moving objects and vibrations as well as other time dependent situations.

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A Robust Approach for Human Activity Recognition Using 3-D Body Joint Motion Features with Deep Belief Network

  • Uddin, Md. Zia;Kim, Jaehyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권2호
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    • pp.1118-1133
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    • 2017
  • Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

모바일 기기내의 비디오 코덱에서 DCT 계수와 움직임 벡터의 암호화를 이용한 저작권 보호 (Copyright Protection using Encryption of DCT Coefficients and Motion Vector in Video Codec of Mobile Device)

  • 권구락;김영로
    • 디지털산업정보학회논문지
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    • 제4권1호
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    • pp.41-46
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    • 2008
  • With widespread use of the Internet and improvements in streaming media and compression technology, digital music, video, and image can be distributed instantaneously across the Internet to end-users. However, most conventional Digital Right Management are often not secure and fast enough to process the vast amount of data generated by the multimedia applications to meet the real-time constraints. In this paper, we propose the copyright protection using encryption of DCT coefficients and motion vector in MPEG-4 video codec of mobile device. This paper presents a new Digital Rights Management that modifies the Motion Vector of Macroblock for mobile device. Experimental results indicate that the proposed DRM can not only achieve very low cost of the encryption but also enable separable authentication to individual mobile devices such as Portable Multimedia Player and Personal Digital Assistants. The performance of the proposed methods have low complexity and low increase of bit rate in overhead.

Robust 3D Wavelet Watermarking for Video

  • Jie Yang;Kim, Young-Gon;Lee, Moon-Ho
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2002년도 정기총회 및 학술대회
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    • pp.173-176
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    • 2002
  • This paper proposes a new approach for digital watermarking and secure copyright protection of video. the principal aim being to discourage illicit copying and distribution of copyrighted material. The method presented here is based on the three dimensional discrete wavelet transform of video scene. The watermark is a copyright information encoded in the form of a spread spectrum signal to ensure the system security and is embedded in the 3D DWT magnitude of video chunks. The performance of the presented technique is evaluated experimentally.

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Video Processing for Human Perception Oriented Coding

  • 오형석;김원하
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2011년도 추계학술대회
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    • pp.143-146
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    • 2011
  • This paper presents human perception-based video coding method using an online learning framework. In this work, we analyze the relationship between human attention regions and video quality, and also consider human memory. We classify the motion patterns based on the analysis. Then, we devise a motion pattern classification method using Hedge algorithm. Along with the motion patterns, we smooth out the specific regions or sharpen details of the regions using the regional priorities. The preprocessed sequences are applied to the video codec. The performance is excellent on the overall quality as well as the regional quality.

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실시간 영상 안정화를 위한 키프레임과 관심영역 선정 (Adaptive Keyframe and ROI selection for Real-time Video Stabilization)

  • 배주한;황영배;최병호;전재열
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2011년도 추계학술대회
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    • pp.288-291
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    • 2011
  • Video stabilization is an important image enhancement widely used in surveillance system in order to improve recognition performance. Most previous methods calculate inter-frame homography to estimate global motion. These methods are relatively slow and suffer from significant depth variations or multiple moving object. In this paper, we propose a fast and practical approach for video stabilization that selects the most reliable key frame as a reference frame to a current frame. We use optical flow to estimate global motion within an adaptively selected region of interest in static camera environment. Optimal global motion is found by probabilistic voting in the space of optical flow. Experiments show that our method can perform real-time video stabilization validated by stabilized images and remarkable reduction of mean color difference between stabilized frames.

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효과적인 예측 기반 비디오 비트율 제어 기법 (Efficient Prediction-based Video Rate Control Technique)

  • 김진열;김영로;고성제
    • 한국통신학회논문지
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    • 제24권10A호
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    • pp.1555-1562
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    • 1999
  • 제한된 전송속도와 버퍼크기에 따라 효과적으로 비디오 전송을 하기 위하여 비디오 비트율 제어 기법들이 제안되어 왔다. 그러나 기존의 제안된 기법들에서는 비트율을 제어하는 부호 파라미터, 양자화 크기 등이 일단 영상이 부호화된 다음 얻어진 정보를 바탕으로 조정된다. 그러므로 현재 부호화하는 프레임의 복잡도에 적절하게 비트율을 제어하지 못하거나 지연이 발생하는 단점이 있다. 본 논문에서는 DCT를 기반으로 한 활성도를 이용하여 비트율 예측하는 기법을 제안하였다. 제안된 기법은 비디오 비트율 제어에 효과적으로 적용할 수 있다. 실험을 통하여 제안한 예측기반 비트율 제어 기법이 장면변환 및 갑자기 비트량이 많이 발생하는 프레임에도 잘 적용될 수 있으며, TM5 기법보다도 향상된 PSNR과 비트율 제어 성능을 보였다.

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Implementation of Video Transfer with TCP-friendly Rate Control Protocol

  • Miyabayashi, Masaki;Wakamiya, Naoki;Murata, Masayuki;Miyahara, Hideo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.117-120
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    • 2000
  • As the use of real-time multimedia applications increases, a considerable amount of “greedy” UDP traffic would easily dominate network bandwidth and packet loss. As a result, bandwidth available to TCP connections is oppressed and their performance extremely deteriorates. In or-der that both TCP and UDP sessions fairly co-exist in the Internet, it is vital that we consider the fairness among both protocols. In this work, we implement a “TCP-friendly” rate control mechanism suitable to video applications and con-sider its applicability to a real system through observation of the video quality at the receiver and the connection state. It is shown that we can achieve high-quality and stable video transfer fairly sharing the network bandwidth with TCP by applying our rate control at a control interval of 32 times as long as RTT.

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