• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.660-662
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• 2000

오늘날 네트웍의 발달로 인하여 사용자가 원하는 영상매체를 실시간으로 요구하는 멀티미디어 서비스에 대한 사용자의 요구가 날로 증가하고 있다. 때문에 영상매체를 제공하는 서버는 여러 사용자들이 동시에 접속하였을 때 서비스를 제공 할 수 있는 능력을 가져야 한다. 본 논문에서는 멀티미디어 서비스를 위한 VOD(Video-On-Demand)시스템을 설계 및 구현한다. VOD 시스템은 미디어를 분석하여 BES(Back-End-Server)에 저장하는 영화 관리자(Movie Manager), 분산 저장된 데이터를 읽어 들여 사용자나 연결된 FES(Front-End Server)로 보내는 BES, 사용자에게 미디어 데이트를 전송하는 FES와 전송된 데이트를 받아서 재생하는 클라이언트(Client)를 구성된다. 또한 다수의 서버를 연결하기 위하여 SCI(Scalabel Coherent Interface)를 이용한 효율적인 메시지 전송방법을 구현한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.939-942
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• 2013

The future mobile communication system can support not only voice but also multimedia applications such as data, image and video. It requires greater resources than the voice-oriented mobile system. We propose a efficient resource allocation for mobile multimedia services in the OFDMA systems. Our method is able to guarantee QoS continuity of realtime class and carry the maximum number of non-realtime subscriber.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.559-561
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• 2001

IMT-2000에서의 통합 메시징 시스템(Unified messaging System)은 음성메시지, 팩스 메시지, 이메일 메시지, 비디오 메시지 등과 같이 다양한 미디어 컨텐츠를 포함하는 메시지를 통합관리하며, 메시지간 매체 변환 기능을 수행하여 언제, 어디서나, 단말에 상관없이 메시지 서비스를 제공한다. 차세대 UMS라고 할 수 있는 IMT-2000 UMMS(Unified Multimedia Messanging System)는 전화망, 데이터망 및 이동통신망 등의 성격이 서로 다른 네트워크 및 각 네트워크 상에서 기존 메시징 서비스를 통합한 환경에서 각 단말에서 메시지 배달, 메시지 저장 및 메시지 통보 등의 기능을 제공하게 된다. IMT-2000 UMMS를 구성하는 기능 요소들은 토폴로지 설계에 따라 동일 네트워크 또는 분산 네트워크 상에 존재할 수 있다. 본고에서는 시스템 설계 시 트래픽 특성 및 이용자 성향을 고려한 효율적 시스템 배치 방안에 관해 기술한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.111-121
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• 2011

Intelligent video analysis systems require techniques which can predict accidents and provide alarms to the monitoring personnel. In this paper, we present an abnormal behavior analysis technique based on adaptive background generation. More specifically, abnormal behaviors include fence climbing, abandoned objects, fainting persons, and loitering persons. The proposed video analysis system consists of (i) background generation and (ii) abnormal behavior analysis modules. For robust background generation, the proposed system updates static regions by detecting motion changes at each frame. In addition, noise and shadow removal steps are also were added to improve the accuracy of the object detection. The abnormal behavior analysis module extracts object information, such as centroid, silhouette, size, and trajectory. As the result of the behavior analysis function objects' behavior is configured and analyzed based on the a priori specified scenarios, such as fence climbing, abandoning objects, fainting, and loitering. In the experimental results, the proposed system was able to detect the moving object and analyze the abnormal behavior in complex environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.515-517
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• 2018

Access to public facilities such as substations, dams and railway facilities is strictly controlled, and unmanned surveillance equipment has been introduced and operated recently due to the development of IT technology and the government's cost reduction policy. However, if an unmanned surveillance system is broken, surveillance space, information leakage caused by intruders, and damage to facilities may occur. Also, it is necessary to check periodical visit by the manager in order to check the surveillance facilities, which causes additional management costs. In order to solve this problem, we designed a system to check the operation status of the unmanned monitoring facility in real time, attempt to recover automatically when a problem occurs, and notify the administrator of the problem. The designed system consists of an NVR that receives and judges information such as image, sound, and lighting condition, and a control device that detects and restores the state of the unmanned monitoring facility. The system proposed in this paper is expected to contribute to the improvement of the economic efficiency due to the minimization of surveillance space due to the failure of the unmanned monitoring facility and the reduction of the inspection cost.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.47-60
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• 2012

Video data comes in the form of the unstructured and the complex structure. As the importance of efficient management and retrieval for video data increases, studies on the video parsing based on the visual features contained in the video contents are researched to reconstruct video data as the meaningful structure. The early studies on video parsing are focused on splitting video data into shots, but detecting the shot boundary defined with the physical boundary does not cosider the semantic association of video data. Recently, studies on structuralizing video shots having the semantic association to the video scene defined with the semantic boundary by utilizing clustering methods are actively progressed. Previous studies on detecting the video scene try to detect video scenes by utilizing clustering algorithms based on the similarity measure between video shots mainly depended on color features. However, the correct identification of a video shot or scene and the detection of the gradual transitions such as dissolve, fade and wipe are difficult because color features of video data contain a noise and are abruptly changed due to the intervention of an unexpected object. In this paper, to solve these problems, we propose the Scene Detector by using Color histogram, corner Edge and Object color histogram (SDCEO) that clusters similar shots organizing same event based on visual features including the color histogram, the corner edge and the object color histogram to detect video scenes. The SDCEO is worthy of notice in a sense that it uses the edge feature with the color feature, and as a result, it effectively detects the gradual transitions as well as the abrupt transitions. The SDCEO consists of the Shot Bound Identifier and the Video Scene Detector. The Shot Bound Identifier is comprised of the Color Histogram Analysis step and the Corner Edge Analysis step. In the Color Histogram Analysis step, SDCEO uses the color histogram feature to organizing shot boundaries. The color histogram, recording the percentage of each quantized color among all pixels in a frame, are chosen for their good performance, as also reported in other work of content-based image and video analysis. To organize shot boundaries, SDCEO joins associated sequential frames into shot boundaries by measuring the similarity of the color histogram between frames. In the Corner Edge Analysis step, SDCEO identifies the final shot boundaries by using the corner edge feature. SDCEO detect associated shot boundaries comparing the corner edge feature between the last frame of previous shot boundary and the first frame of next shot boundary. In the Key-frame Extraction step, SDCEO compares each frame with all frames and measures the similarity by using histogram euclidean distance, and then select the frame the most similar with all frames contained in same shot boundary as the key-frame. Video Scene Detector clusters associated shots organizing same event by utilizing the hierarchical agglomerative clustering method based on the visual features including the color histogram and the object color histogram. After detecting video scenes, SDCEO organizes final video scene by repetitive clustering until the simiarity distance between shot boundaries less than the threshold h. In this paper, we construct the prototype of SDCEO and experiments are carried out with the baseline data that are manually constructed, and the experimental results that the precision of shot boundary detection is 93.3% and the precision of video scene detection is 83.3% are satisfactory.

• The KIPS Transactions:PartC
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• v.12C no.2 s.98
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• pp.261-266
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• 2005

This paper proposes two systems. One is a Home Gateway(HG) which efficiently connects and controls digital appliances in the home network environments. The other is a Management Server(MS) that overcomes the physical limitation of the HG. The HG supports networking modules(TCP/IP for Ethernet, ADSL), home networking functions(HomePNA, IEEE1394 PLC) and telecommunication system(PSTN/SLT, VoIP, Video Communication). The HG is expected to be a core device for the integrated digital home environments. The MS is a dedicated server which manages and controls individual HG, home appliances and HA devices implemented at an area.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.8A
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• pp.1398-1406
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• 2001

최근 초고속 통신망의 발전과 더불어 망을 통한 멀티미디어 서비스의 개발이 활발히 진행되고 있다. 특히 멀티미디어 서비스의 핵심 요소인 영상서비스에 관련된 많은 개발이 이루어졌다. 이러한 망에서의 영상서비스를 효과적으로 제공하기 위하여, 사용자로부터 요구되는 서비스 품질(QoS : Quality of Service)을 보장하고 관리하는 것이 서비스 제공의 핵심 사항이라 볼 수 있다. 최근 주문형 비디오(VoD : Video on Demand) 서비스와 같은 망을 통한 영상 전송이 실용화되고 있으며, 차세대 영상 압축 방식인 MPEG2 방식을 이용한 전송이 개발되고 있다. 이러한 망을 통한 MPEG2 서비스 시, 종단간의 QoS를 보장해 주기 위한 망 계층과 응용 계층간의 QoS 파라미터 측정과 이를 토대로 한 서비스 제공 및 관리가 필요하다. 본 논문에서는 MPEG2를 이용한 영상 전송 시 종단간의 QoS 측정을 위한 VoD 시스템 및 측정기 개발에 관해 논한다.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.3
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• pp.95-103
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• 2007

Portable multimedia Player (PMP) devices have been gaining in its popularity with the emerging digital convergence of data, video, audio, etc. Since the PMP devices are typically equipped with DSP, a bigger LCD screen, and a hard disk, efficient power management has become more crucial than the other portable devices. This paper builds up a hardware/software-based power measurement system based on data acquisition devices. Subsequently, it measures and analyzes the power consumed in commercial PMP devices under different types of events: the system boot & shutdown, video playback, and the use of different video-coding types. Finally, our analysis of the measured power consumption patterns reveals useful information for the design of low-power PMP devices.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.1
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• pp.1-6
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• 2021

Recently, unmanned facilities have been introduced and operated in a way that reduces the cost and development of IT technology. Although unmanned facilities have advantages in terms of efficiency and economy, they have disadvantages such as failure of unmanned facilities and malfunctions, causing damage to facilities caused by intruders, and information leakage. In addition, it is necessary to visit the person in charge at all times to inspect the unmanned facilities, resulting in management costs. In this paper, we designed a system that checks the status of unmanned surveillance facilities in real time to check and automatically recover problems such as malfunctions, and to notify managers of situations by text messages in real time. The system to be designed consists of an integrated network video server (NVR) that receives and determines information on the operation status of the main equipment such as video, sound, and lighting, and a real-time text message using an SMS server.