• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.733-734
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• 2016

This study proposes a novel approach for ground segmentation of 3D point cloud. We combine two techniques: gradient threshold segmentation, and mean height evaluation. Acquired 3D point cloud is represented as a graph data structures by exploiting the structure of 2D reference image. The ground parts nearing the position of the sensor are segmented based on gradient threshold technique. For sparse regions, we separate the ground and nonground by using a technique called mean height evaluation. The main contribution of this study is a new ground segmentation algorithm which works well with 3D point clouds from various environments. The processing time is acceptable and it allows the algorithm running in real time.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.398-401
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• 2008

With the advance of internet and computer processing technique, users can easily access and use the multimedia contents involving the various pictures, videos and audios information. And users request more convenient and accurate multimedia services. In these environments, it is difficulties to integrate and manage metadata standards because there are various standards in multimedia applications according to types of services and data formats individually. In this paper, we design and implement the multimedia metadata management system for integrating from heterogeneous sources. In our system, we managed heterogeneous metadata by integrating to unified schema using mapping table. Through proposed system, users can search multimedia data easily without considering variety of application services.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 추계학술발표대회
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• pp.400-402
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• 2012

서비스 로봇이 인간과의 상호작용을 하기 위해서는 상호작용에 필요한 동작들을 학습할 수 있는 방법이 필요하다. 본 연구에서는 서비스 로봇에게 동작 학습을 시키기 위한 모방학습 프레임 워크의 구축에 관한 연구를 진행한다. 모방학습에는 로봇이 행동을 수행하기 위한 모터 프리미티브가 필요하므로 본 연구에서는 선행자가 로봇을 직접 움직여 생성한 모터 프리미티브를 데이터 파일로 저장 하여 로봇에게 전송하면 로봇이 스스로 모터 프리미티브를 수행하도록 하는 모터 프리미티브 생성 시스템을 설계한다.

• 한국정보처리학회논문지
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• 제5권11호
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• pp.2797-2808
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• 1998

멀티미디어 시나리오 데이타베이스 시스템은 데이터 간의 연관 관계, 다중경로 및 데이터 공유 등의 정보를 그래프 구조로 표현하여 멀디미디어 데이터의 재생순서를 나타내는 시나리오로 기술하고, 정의된 시나리오를 참조하여 멀티미디어 데이터를 사용자에게 실시간으로 전송하는 읽기 전용 주문형 멀티미디어(Multimedia-on-demand) 시스템이다. 멀티미디어 시나이로 데이타베이스 시스템은 서비스되는 멀티미디어 객체의 메타데이타(metadata)를 저장하고 있는 시나리오 데이타베이스를 참조함으로써 데이터 전송을 위한 사전-스케줄링(pre-scheduling)을 수행하여 전송 지연으로 인한 반응시간을 줄이며, 시나리오를 다양한 기법으로 재순서하여 전송함으로써 데이터 전송효율을 향상시킬 수 있다. 본 논문에서는 멀티미디어 객체의 시간적, 공간적, 의미적 연관 관계를 기술하는 시나리오의 구성에 필요한 사항을 논하고 이의 저장,관리를 위한 시나리오 데이타베이스를 설계하며, 시나리오 재순선화를 이용한 스케줄링 방안에 대하여 논한다.

• 한국멀티미디어학회논문지
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• 제18권6호
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• pp.772-779
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• 2015

Advancing information technology have rapidly changed our service environment of life, culture, and industry. Computer information communication system is applied in medical, health, distribution, and business transaction. Smart is using new information by combining ability of computer and information. Although agriculture is labor intensive industry that requires a lot of hands, agriculture is becoming knowledge-based industry today. In agriculture field, computer communication system is applied on facilities farming and machinery Agricultural. In this paper, we designed and implemented application that provides personalized agriculture related information at the actual farming field. Also, this provides farmer a system that they can directly auction or sell their produced crops. We designed and implemented a system that parsing information of each seasonal, weather condition, market price, region based, crop, and disease and insects through individual setup on ubiquitous environment using location-based sensor network and processing data.

• 한국멀티미디어학회논문지
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• 제9권4호
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• pp.490-504
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• 2006

분산 환경에서 멀티미디어 라이브 스트리밍을 지원하는 멀티미디어 서비스를 구현하기 위해서는 다양한 플랫폼에 분산되어 있는 객체들을 제어하고, 멀티캐스트를 지원하지 않는 네트워크 환경에서 다수의 수신자에게 멀티미디어를 전송하는 것이 필요하다. 본 논문에서는 분산 객체 기술인 RMI와 멀티미디어 전송/처리에 사용하는 JMF를 확장하여 분산 환경에서 1:N 의 멀티미디어 라이브 스트리밍을 지원하는 DLS (Distributed Live Streaming) 패키지를 제안한다. 효율적인 분산 처리를 위해 전송과 제어를 분리하여 설계한 자바 기반의 DLS 패키지는 1:N의 전송을 지원하고 플랫폼 독립적인 멀티미디어 서비스의 개발에 적용이 가능하다.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.371-381
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• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• Journal of Information Processing Systems
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• 제15권1호
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• pp.1-6
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• 2019

Recently, big data and artificial intelligence (AI) based on communication systems have become one of the hottest issues in the technology sector, and methods of analyzing big data using AI approaches are now considered essential. This paper presents diverse paradigms to subjects which deal with diverse research areas, such as image segmentation, fingerprint matching, human tracking techniques, malware distribution networks, methods of intrusion detection, digital image watermarking, wireless sensor networks, probabilistic neural networks, query processing of encrypted data, the semantic web, decision-making, software engineering, and so on.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권11호
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• pp.2827-2848
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• 2012

Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.213-215
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• 2003

Multimedia has to carry data of heterogeous types. Multicast communication techniques can supply the most appropriate infrastructures to such multimedia. Of many multicast protocols, the core based tree (CBT) protocol is the most concentrative studies are conducted on. The CBT places a core router at center of the shared tree and transfers data through the tore router. However, the CBT has two problems due to centralizing all network traffics into a core router. First it can raise bottleneck effect at a core router. Second, it is possible to make an additive processing overhead when core router is distant from receivers. To cope with the problems, this paper proposes an intelligent anycast routing protocol. The anycast routing attempts to distribute the centralized traffic into plural core routers by using a knowledge-based algorithm. The anycast routing estimates the traffic characteristics of multimedia data far each multicast source, and achieves effectively the distributing that places an appropriate core router to process the incoming traffic based on the traffic information in the event that request of receivers are raised. This method prevent the additional overhead to distribute traffic because an individual core router uses the information estimated to multicast sources connected to oneself and the traffic processing statistics shared with other core neuters.