• Title/Summary/Keyword: Video image processing system

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A Semantics-based Video Retrieval System using Annotation and Feature (주석 및 특징을 이용한 의미기반 비디오 검색 시스템)

  • 이종희
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.4
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    • pp.95-102
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    • 2004
  • In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic-based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency md requires many efforts of system administrator or annotator because of imperfect automatic processing. In this paper, we propose semantics-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method and optimized comparison area extracting that propose. Therefore, we propose the system that can heighten retrieval efficiency of video data through semantics-based retrieval.

A Semantic-based Video Retrieval System using Design of Automatic Annotation Update and Categorizing (자동 주석 갱신 및 카테고라이징 기법을 이용한 의미기반 동영상 검색 시스템)

  • 김정재;이창수;이종희;전문석
    • Journal of the Korea Computer Industry Society
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    • v.5 no.2
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    • pp.203-216
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    • 2004
  • In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic- based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency and requires many efforts of system administrator or annotator form less perfect automatic processing. In this paper, we propose semantic-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose. Therefore, we design the system that can heighten retrieval efficiency of video data through semantic-based retrieval.

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A Semantic-based Video Retrieval System Using the Automatic Indexing Agent (자동 인덱싱 에이전트를 이용한 의미기반 비디오 검색 시스템)

  • Kim Sam-Keun;Lee Jong-Hee;Yoon Sun-Hee;Lee Keun-Soo;Seo Jeong-Min
    • Journal of Korea Multimedia Society
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    • v.9 no.1
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    • pp.127-137
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    • 2006
  • In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic- based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency and requires many efforts of system administrator or annotator form less perfect automatic processing. In this paper, we propose semantic-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the automatic indexing agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose. Therefore, we propose the system that can heighten retrieval efficiency of video data through semantic-based retrieval.

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Distributed Video Compressive Sensing Reconstruction by Adaptive PCA Sparse Basis and Nonlocal Similarity

  • Wu, Minghu;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2851-2865
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    • 2014
  • To improve the rate-distortion performance of distributed video compressive sensing (DVCS), the adaptive sparse basis and nonlocal similarity of video are proposed to jointly reconstruct the video signal in this paper. Due to the lack of motion information between frames and the appearance of some noises in the reference frames, the sparse dictionary, which is constructed using the examples directly extracted from the reference frames, has already not better obtained the sparse representation of the interpolated block. This paper proposes a method to construct the sparse dictionary. Firstly, the example-based data matrix is constructed by using the motion information between frames, and then the principle components analysis (PCA) is used to compute some significant principle components of data matrix. Finally, the sparse dictionary is constructed by these significant principle components. The merit of the proposed sparse dictionary is that it can not only adaptively change in terms of the spatial-temporal characteristics, but also has ability to suppress noises. Besides, considering that the sparse priors cannot preserve the edges and textures of video frames well, the nonlocal similarity regularization term has also been introduced into reconstruction model. Experimental results show that the proposed algorithm can improve the objective and subjective quality of video frame, and achieve the better rate-distortion performance of DVCS system at the cost of a certain computational complexity.

Image Processing Software Development for Detection of Oyster Hinge Lines (굴의 Hinge 판별과 위치 판독을 위한 영상처리 Software 의 개발)

  • ;Fred W. Wheaton
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1997.12a
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    • pp.375-384
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    • 1997
  • 굴을 까는 작업은 굴의 껍질 에 붙어있는 근육질과 굴 껍질에 붙어있는 hinge를 절단하는 작업을 필요로 한다. 본 논문은 굴을 까는 자동화기계를 개발하기 위한 하나의 단계로서 굴의 hinge 의 위치를 판단하는 computer vision system 의 image processing software (영상처리)개발에 대하여 중점을 두었다. 본 실험에 사용한 굴들은 computer vision system이 굴의 바깥쪽 hinge 표면을 감지할 수 있도록 굴을 물로 씻은 후 굴 껍질의 hinge 부분을 약간 절단하였다. computer vision system은 color video camera를 이용하여 굴의 절단된 hinge표면의 영상을 잡은 후 image processing software를 이용하여 굴의 hinge 위치를 감지하였다. 본 논문에 사용한 computer vision software 는 일반 상용화된 software 와 굴의 hinge 위치를 알아내기 위해 저자가 연구 개발한 software 로 구성하였다. Image 내의 굴의 hinge와 그 밖의 다른 물질을 구별하기 위하여 본 논문의 software 는 4개의 변수 (circularity , Rectangularity, Aspect-ratio , Euclidian Distance)를 이용하였다. 또한 image 내의 굴의 hinge 위치를 쉽고 효과적으로 파악하기 위하여 몇 가지 영상처리, 즉, shrink-expand, thresholding 외의 다른 방법들을 이용하였다.

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Omni-directional Image Generation Algorithm with Parametric Image Compensation (변수화된 영상 보정을 통한 전방향 영상 생성 방법)

  • Kim, Yu-Na;Sim, Dong-Gyu
    • Journal of Broadcast Engineering
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    • v.11 no.4 s.33
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    • pp.396-406
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    • 2006
  • This paper proposes an omni-directional image generation algorithm with parametric image compensation. The algorithm generates an omni-directional image by transforming each planar image to the spherical image on spherical coordinate. Parametric image compensation method is presented in order to compensate vignetting and illumination distortions caused by properties of a camera system and lighting condition. The proposed algorithm can generates realistic and seamless omni-directional video and synthesize any point of view from the stitched omni-directional image on the spherical image. Experimental results show that the proposed omni-directional system with vignetting and illumination compensation is approximately $1{\sim}4dB$ better than that which does not consider the said effects.

Traffic Signal Detection and Recognition Using a Color Segmentation in a HSI Color Model (HSI 색상 모델에서 색상 분할을 이용한 교통 신호등 검출과 인식)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.4
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    • pp.92-98
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    • 2022
  • This paper proposes a new method of the traffic signal detection and the recognition in an HSI color model. The proposed method firstly converts a ROI image in the RGB model to in the HSI model to segment the color of a traffic signal. Secondly, the segmented colors are dilated by the morphological processing to connect the traffic signal light and the signal light case and finally, it extracts the traffic signal light and the case by the aspect ratio using the connected component analysis. The extracted components show the detection and the recognition of the traffic signal lights. The proposed method is implemented using C language in Raspberry Pi 4 system with a camera module for a real-time image processing. The system was fixedly installed in a moving vehicle, and it recorded a video like a vehicle black box. Each frame of the recorded video was extracted, and then the proposed method was tested. The results show that the proposed method is successful for the detection and the recognition of traffic signals.

Development of Smart laser Pointer using Image Processing (영상처리를 이용한 스마트 레이저 포인터 개발)

  • Park, Yong-Wook
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.12
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    • pp.1245-1250
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    • 2016
  • In this study, smart laser pointer using image processing was studied. The laser pointer tracked the light by using image processing. and the tracking signal was received to the transmitting unit. Smart laser pointer received the video signal have function of erase, write convert window, and changing of font color. It was studied that the smart laser pointer system could run pointer and mouse function on the one place.

A Study on the Image Encryption for Video Conference System Construction that Security Improves (보안성이 향상된 화상회의 시스템 구축을 위한 영상 암호화에 관한 연구)

  • 김형균;김단환;오무송
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.631-634
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    • 2002
  • Video conference system has guided swiftness of information transmission and business processing taking away time and manufacturing drug of space that is happened that long-distance gather and talk. But, leakage of important meeting content, peculation etc., in that execute video-conferences can happen. Therefore, research about video conference system of safety is progressing under secure superhigh speed information communication fetters. This treatise studied about techniques to encipher videotex to prevent variation and outward flow of burn information, peculation etc., except general encryption notation such as user certification to have drawn problem about stability of general video conference system, and is used present as countermeasure about here. Used improved Vernam's encryption techniques to encrypt videotex.

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Image Cryptography for Secure Video Conference System (안전한 화상회의 시스템을 위한 영상암호화)

  • 고석만;오무송
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.1
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    • pp.70-75
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    • 2002
  • Video conference system has guided swiftness of information transmission and business processing taking away time and manufacturing drug of space that is happened that long-distance people gather and talk. But, leakage of important meeting contents, peculation etc.. in that execute video -conferences can happen. Therefore, research about video conference system of safety is progressing under secure superhigh speed information communication fetters. This treatise studied about techniques to encipher videotex to prevent variation and outward flow of burn information, peculation etc.. except general encryption notation such as user certification to have drawn problem about stability of general video conference system, and is used present as countermeasure about here. Used improved Vernam's encryption techniques to encrypt videotex.