• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.37-42
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• 1998

외국에서 개발한 디지털 방송 모니터링 장비는 국내의 규격 및 방송 환경과 상이하여 정확한 오류검색이 불가한 상황이다. 따라서, 국내 방송환경에 적합한 디지털 위성방송의 송출 및 수신상태를 감시할 수 있는 계측 장비가 필요하다. 위성 본방송에 대비하고 위성방송의 안정적 운용을 위하여“디지털 위성방송 모니터링 시스템”을 국내 최초로 개발하였다. 시스템의 구성은 PC에 카드형 수신기를 내장하였으며, 응용 S/W로 다양한 모니터링이 가능하도록 설계하였다. 주요기능은 현재 방송중인 위성 중계기의 RF 레벨 및 채널상태, 영상 및 음성의 송출상태, Service Information의 송출상태를 동시에 검색한다. 그리고, 오류발생시 겨고 메시지를 발송하고 오류복구방안을 제시하며, 모니터링 결과를 저장한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.77-84
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• 2012

Face classification has wide applications in intelligent video surveillance, content retrieval, robot vision, and human-machine interface. Pose and expression changes, and arbitrary illumination are typical problems for face recognition. When the face is captured at a distance, the image quality is often degraded by blurring and noise corruption. This paper investigates the efficacy of multi-classifier decision level fusion for face classification based on the photon-counting linear discriminant analysis with two different cost functions: Euclidean distance and negative normalized correlation. Decision level fusion comprises three stages: cost normalization, cost validation, and fusion rules. First, the costs are normalized into the uniform range and then, candidate costs are selected during validation. Three fusion rules are employed: minimum, average, and majority-voting rules. In the experiments, unfocusing and motion blurs are rendered to simulate the effects of the long distance environments. It will be shown that the decision-level fusion scheme provides better results than the single classifier.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.55-66
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• 2006

We propose a progressive image retrieval method based on an efficient combination of multiresolution color and torture features in wavelet transform domain. As a color feature, color autocorrelogram of the hue and saturation components is chosen. As texture features, BDIP and BVLC moments of the value component are chosen. For the selected features, we obtain multiresolution feature vectors which are extracted from all decomposition levels in wavelet domain. The multiresolution feature vectors of the color and texture features are efficiently combined by the normalization depending on their dimensions and standard deviation vector, respectively, vector components of the features are efficiently quantized in consideration of their storage space, and computational complexity in similarity computation is reduced by using progressive retrieval strategy. Experimental results show that the proposed method yields average $15\%$ better performance in precision vs. recall and average 0.2 in ANMRR than the methods using color histogram color autocorrelogram SCD, CSD, wavelet moments, EHD, BDIP and BVLC moments, and combination of color histogram and wavelet moments, respectively. Specially, the proposed method shows an excellent performance over the other methods in image DBs contained images of various resolutions.

• Journal of KIISE:Software and Applications
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• v.34 no.7
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• pp.646-654
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• 2007

In recent years, the use of text inserted into TV contents has grown to provide viewers with better visual understanding. In this paper, video text is defined as superimposed text region located of the bottom of video. Video text extraction is the first step for video information retrieval and video indexing. Most of video text detection and extraction methods in the previous work are based on text color, contrast between text and background, edge, character filter, and so on. However, the video text extraction has big problems due to low resolution of video and complex background. To solve these problems, we propose a method to extract text from videos using the Harris corner detector. The proposed algorithm consists of four steps: corer map generation using the Harris corner detector, extraction of text candidates considering density of comers, text region determination using labeling, and post-processing. The proposed algorithm is language independent and can be applied to texts with various colors. Text region update between frames is also exploited to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.125-130
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• 2007

This paper introduce a satellite image based blog system built by JeonNam local province. Main goals of this system are as follows : (1)Overcome the static aspect of traditional Web-GIS, (2)Providing a geoUCC generating platform by combining multimedia technology and GIS in a single web environment, (3)Building a two-way Web-GIS through user's participation, (4)Creating a new communicative way between government and citizen by using this system. As a result of the system building, this system enables users to create his/her own UCC(User Created Contents) on high-resolution satellite image and enables users to share his/her own UCC with other system using Web2.0 technology.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.1100-1103
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• 2007

보안관제시스템이 사이버 공격 현황을 보다 한눈에 알 수 있도록 시각적이고 입체적으로 바뀌고 있다. 네트워크 이상트래픽과 보안이벤트를 단순 텍스트나 표, 그래프를 넘어 3차원 영상 화면에서 직관적으로 분석하고 공격 상황을 볼 수 있는 기술이 보안관제시스템에 속속 결합되고 있어 주목된다. 본 연구는 기존 보안시스템 화상의 저장방법, 화상의 감시, 녹화된 화상의 검색 시 불안정성, 운영방법, 설치 방법 등을 혁신적으로 보완한 NETWORK CAMERA 은 RTOS, 카메라, 영상압축기, LAN제어기 등을 하나로 통합한 Embedded System으로 구성되어 운영자뿐만 아니라 누구든지 손쉽게 운영할 수 있도록 초점을 맞추어 인터넷 웹 환경에서 제공토록 개발되어 운영의 효율성을 높인 차세대 보안시스템을 구축하고자 합니다.

• Smart Media Journal
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• v.4 no.2
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• pp.26-33
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• 2015

In this paper, we propose an efficient automatic pedestrian removal system from a frame in a video sequence. It firstly finds pedestrians from the frame using a Histogram of Oriented Gradient(HOG) / Linear-Support Vector Machine(L-SVM) classifier, searches for proper background patches, and then the patches are used to replace the deleted pedestrians. Background patches are retrieved from the reference video sequence and a modified feather blender algorithm is applied to make boundaries of replaced blocks look naturally. The proposed system, is designed to automatically detect object and generate natural-looking patches, while most existing systems provide search operation in manual. In the experiment, the average PSNR of the replaced blocks is 19.246

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.28-39
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• 2011

While the broadband multimedia technologies have been developing, the commercial market of digital contents has also been widely spreading. Most of all, digital cartoon market like internet cartoon has been rapidly large so video cartooning continuously has been researched because of lack and variety of cartoon. Until now, video cartooning system has been focused in non-photorealistic rendering and word balloon. But the meaningful frame extraction must take priority for cartooning system when applying in service. In this paper, we propose new automatic frame extraction method for video cartooning system. At frist, we separate video and audio from movie and extract features parameter like MFCC and ZCR from audio data. Audio signal is classified to speech, music and speech+music comparing with already trained audio data using GMM distributor. So we can set speech area. In the video case, we extract frame using general scene change detection method like histogram method and extract meaningful frames in the cartoon using face detection among the already extracted frames. After that, first of all existent face within speech area image transition frame extract automatically. Suitable frame about movie cartooning automatically extract that extraction image transition frame at continuable period of time domain.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.2 s.17
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• pp.1-8
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• 2005

Microwave tomographic imaging technology using a bi-focusing operator has been developed in order to detect the internal voids/objects inside concrete structures. The imaging system consists of several cylindrical or planar array antennas for transmitting and receiving signals, and a numerical focusing operator is applied to the external signals both in transmitting and in receiving fields. In this study, the authors developed 3-dimensional (3D) electromagnetic (EM) imaging technology to detect such damage and to identify exact location of steel rebars or dowel. The authors have developed sub-surface two-dimensional (2D) imaging technique using tomographic antenna array in previous works. In this study, extending the earlier analytical and experimental works on 2D image reconstruction, a 3D microwave imaging system using tomographic antenna way was developed, and multi-frequency technique was applied to improve quality of the reconstructed image and to reduce background noises. Numerical simulation demonstrated that a sub-surface image can be successfully reconstructed by using the proposed tomographic imaging technology. For the experimental verification, a prototype antenna array was fabricated and tested on a concrete specimen.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.311-321
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• 2007

For fast and robust face detection, this paper proposes an approach for face detection using fusion of heterogeneous template matching. First, we detect skin regions using a model of skin color which covers various illumination and races. After reducing a search space by region labelling and filtering, we apply template matching with skin color and edge to the detected regions. Finally, we detect a face by finding the best choice of template fusion. Experimental results show the proposed approach is more robust in skin color-like environments than with a single template matching and is fast by reducing a search space to face candidate regions. Also, using a global accumulator can reduce excessive space requirements of template matching.