• Title/Summary/Keyword: video filtering

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Realization of automatic video tracker using ASIC (ASIC을 이용한 자동영상 추적기 구현)

  • 강재열;윤상로
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.8
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    • pp.1885-1896
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    • 1996
  • This paper describes the implementation of the AVT(Automatic video Tracker) using ASIC. The basic tracking algorithm is based on the spatio-temporal gradient method, and adaptive window sizing, track state decision algorithm were also realized. Newly developed ASIC performs recursive image filtering, extraction of spatio-temporal gradient/gradient functions of image in field rate. Using the FPGA/ASIC, the tracker was simply realized in one board type which can be easily applied to various image system. We conformed ASIC operation by computer simulation and tested the system in real tracking situations. From the result, the system can track the moving target which has a velocity of 2-3 pixel/field and a size of varying from 2 to 128 pixes. Also fast refresh rateof motion estimation(60Hz) improves the characteristics of servoing system which forms feedback loop with the tracker.

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A Study on the Elimination Method of Noise Image Caused by Rainfall Using Machine Vision (머신비전을 이용한 판토그래프 습판 마모 측정에 있어서 우천으로 인한 영상노이즈 제거방법에 관한 연구)

  • Lee, Seong-Gwon;Lee, Dae-Won;Kim, Gil-Dong
    • Journal of the Korean Society for Railway
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    • v.12 no.3
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    • pp.364-369
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    • 2009
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection doe to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

A Blocking Artifacts Reduction Algorithm for Block-Transform coding Image

  • Han, Byung-Hyeok;Kim, Jean-Youn;Lee, Chi-Woo;Jin, Hyun-Joon;Park, Nho-Kyung
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.437-440
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    • 2000
  • This paper proposes a method to improve video quality on images that have blocking artifacts at block boundary. Block image transform coding suffers from blocking artifact that is a main cause of degrading video quality because of the quantization error of transform coefficients in quantization process. filtering and DPCM for DC components have been widely used to reduce blocking artifact. Recently, lots of works focus on the technique that minimizes block effects using discontinuity of block boundaries. In this paper, image blurring in decoding stage is improved by adding compensation factor to each transformed blocks so that discontinuity of block boundaries can be decreased. The compensation factor is applied on each block without much loss of edge components.

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Content-based Dynamic Bandwidth Control for Video Transmission (동영상 전송을 위한 내용기반 동적 대역폭 조절)

  • 김태용;최종수
    • Journal of KIISE:Software and Applications
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    • v.31 no.7
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    • pp.901-910
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    • 2004
  • In this paper, we propose a content-based MPEG transcoding method using a discontinuity feature in the Discrete Cosine Transform (DCT) domain. A DCT block is transcoded differently depending on the height of dominant discontinuity within a block. In the experiment, we show the result that the video quality of content-based transcoding is better than that of a constant cut-off method and the processing time of the adaptive method is much faster compared with the pixel domain methods in the same bandwidth.

Deblocking Filtering in TMIV for Atlases in Basic and Additional Views (TMIV 소프트웨어에서의 기본 시점과 추가 시점에 대한 디블로킹 필터의 성능 비교)

  • Yeo, Eun;Kang, Jewon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.46-48
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    • 2020
  • HEVC (High Efficiency Video Coding)의 In-Loop 필터 중 하나인 디블로킹 필터는 예측과 변환 블록 주변의 균일하지 않은 잡음을 제거하기 위해 사용된다. 영상을 복원할 때 텍스쳐 정보의 경우, 디블로킹 필터로 눈에 보이는 잡음을 제거하는 데 유리하지만 깊이 정보는 깊이를 예측하여 합성하는 데 사용되므로 디블로킹 필터를 적용하면 합성에 방해가 될 수 있다. 이에 본 논문은 TMIV (Test Model 6 for MPEG Immersive Video) 인코더를 거쳐 나온 기본 시점과 추가 시점의 텍스쳐와 깊이 영상에 디블로킹 필터를 적용하여 BD-Rate의 향상 정도와 인지 화질적 관점에서의 화질 개선 여부를 실험을 통해 검증한다.

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Feature based Object Tracking from an Active Camera (능동카메라 환경에서의 특징기반의 이동물체 추적)

  • 오종안;정영기
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.141-144
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    • 2002
  • This paper describes a new feature based tracking system that can track moving objects with a pan-tilt camera. We extract corner features of the scene and tracks the features using filtering, The global motion energy caused by camera movement is eliminated by finding the maximal matching position between consecutive frames using Pyramidal template matching. The region of moving object is segmented by clustering the motion trajectories and command the pan-tilt controller to follow the object such that the object will always lie at the center of the camera. The proposed system has demonstrated good performance for several video sequences.

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Design of Video Analytics Information Management System for Optimizing the Storage Load. (스토리지 부하 최적화를 위한 영상분석정보 관리시스템 설계)

  • Shim, Jae-Sung;Park, Seok-Cheon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.941-942
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    • 2014
  • 본 논문에서는 기존 지능형 영상감시 시스템에서의 영상정보 분석 시 발생하는 XML 데이터가 불필요하게 많이 생성(XML data 30ea/1s)되어 스토리지의 저장 및 관리 부하를 개선하기 위해 분석되어진 XML 데이터를 Parsing & Filtering하여 저장함으로써 생성되는 데이터를 간소화함으로써, 효율적인 관리가 가능한 스토리지 부하 최적화를 위한 영상분석정보 관리시스템을 설계하였다.

Residual Filter to Improve Performance of H.264 Video Coding Standard (H.264 동영상 표준 부호화 방식의 성능 향상을 위한 잔여신호 필터)

  • Song, Won-Seon;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.11C
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    • pp.1066-1070
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    • 2006
  • In this paper, we present a residual filter to improve performance of H.264 compressed video. In general, noisy video sequences captured by imaging system result in decline of coding efficiency and unpleasant coding artifacts due to higher frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved, leading to improvement of visual quality and to bit-rate saving for given quantization step size. In addition, in order to reduce the complexity of the residual filter, noise induced by analyzing H.264 transformation and quantization processes are introduced. The simulation results show the capability of the proposed algorithm.

A New Copyright Protection Scheme for Depth Map in 3D Video

  • Li, Zhaotian;Zhu, Yuesheng;Luo, Guibo;Guo, Biao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.7
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    • pp.3558-3577
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    • 2017
  • In 2D-to-3D video conversion process, the virtual left and right view can be generated from 2D video and its corresponding depth map by depth image based rendering (DIBR). The depth map plays an important role in conversion system, so the copyright protection for depth map is necessary. However, the provided virtual views may be distributed illegally and the depth map does not directly expose to viewers. In previous works, the copyright information embedded into the depth map cannot be extracted from virtual views after the DIBR process. In this paper, a new copyright protection scheme for the depth map is proposed, in which the copyright information can be detected from the virtual views even without the depth map. The experimental results have shown that the proposed method has a good robustness against JPEG attacks, filtering and noise.

A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard (H.264 동영상 표준 부호화 방식을 위한 변형된 가우시안 모델 기반의 저 계산량 전처리 필터)

  • Song, Won-Seon;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.2C
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    • pp.41-48
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    • 2005
  • In this paper, we present a low complexity modified Gaussian model based pre-processing filter to improve the performance of H.264 compressed video. Video sequence captured by general imaging system represents the degraded version due to the additive noise which decreases coding efficiency and results in unpleasant coding artifacts due to higher frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved for given quantization step size. In addition, in order to reduce the complexity of the pre-processing filter, the simplified local statistics and quantization parameter are introduced. The simulation results show the capability of the proposed algorithm.