• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.521-524
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• 2020

MPEG-IoMT(Internet of Media Thing)는 미디어 사물 간에 데이터를 주고 받을 수 있도록 MPEG 표준화를 진행 중인 프로젝트이다. MPEG-IoMT 에서는 미디어 사물의 자원을 사용할 수 있도록 미디어 사물 인터넷 Usecase 에 맞는 API 를 정의하고 있지만 다수의 미디어 사물을 연결하고자 할 때 자동 연결 플랫폼을 가지고 있지 않는다. 따라서 본 논문에서는 MPEG-IoMT Mission Diagram 기반 미디어 사물 간 자동화 연결을 위해 IoT 에서 주로 활용되는 MQTT 를 이용해 MThing 간 자동 연결 플랫폼을 구현하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.281-284
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• 2019

본 논문에서는 최근 인공지능 기반의 자연어이해기술을 활용한 자연어 인터페이스 표준화 현황을 소개하고 사물기반의 미디어 사물간의 기능들을 표준화하고 있는 MPEG IoMT 표준에서의 자연어 인터페이스 구현 내용을 소개한다. 자연어 인터페이스에는 음성인식 기술, 음성합성 기술, 언어처리 기술, 질의응답기술, 음성 자동통역 기술등이 포함되며 언어지능으로서의 자연어 인터페이스를 사물 인터넷 환경에서 구현하기 위해 MPEG IoMT 의 표준화된 포맷과 활용 방식을 소개한다.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.111-116
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• 2023

Recently, viral infectious diseases and new diseases are not limited to one region, but are spreading worldwide, causing serious economic and social damage. In addition, the development cycle of new diseases is shortening, and the rate of spread is accelerating. In order to prevent the spread of disease, passive forms of response after a disease outbreak, such as personal and regional quarantine and border closure, are prioritized. This type of response has many shortcomings as a fundamental response to preventing the spread of disease. Therefore, this study proposes a disease prevention monitoring system including new disease occurrence information. In this study, disease information and user information are collected through the establishment of the IoMT environment. Information collection using an agent collects and classifies data registered in the disease information server. In the IoMT environment, user data is collected, and whether the user is infected with a disease is evaluated and provided to the user. Through this study, individual disease symptom information can be provided and active countermeasures against the spread of disease can be provided.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.98-100
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• 2017

IoT 및 웨어러블 환경에서의 미디어 서비스를 위한 MPEG IoMT(Internet of Media Thing) 표준에서는 헬스케어 미디어 서비스도 주요 유스 케이스(use case)로 고려되고 있다. 본 논문에서는 효율적인 헬스케어 미디어 소비를 위한 IoMT 메타데이터 스키마를 제시한다. 제안하는 Pseudo-DICOM 스키마(schema)는 의료미디어 표준인 DICOM(Digital Imaging and Communication in Medical) 데이터의 헤더에 포함되는 의료기기, 환자, 미디어 등에 대한 정보를 기술하기 위한 것이다. 본 논문의 유스 케이스에서는 제안된 스키마에 따라 기술된 이들 정보를 스마트 글래스로 획득한 구조현장 비디오와 함께 병원으로 제공함으로써 이 비디오를 쉽게 DICOM 데이터로 변환하게 하여 효율적인 재생 및 저장 관리를 지원한다.

• Advanced Industrial SCIence
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• v.1 no.1
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• pp.7-15
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• 2022

To adopt the development in the medical scenario IoT developed towards the advancement with the processing of a large amount of medical data defined as an Internet of Medical Things (IoMT). The vast range of collected medical data is stored in the cloud in the structured manner to process the collected healthcare data. However, it is difficult to handle the huge volume of the healthcare data so it is necessary to develop an appropriate scheme for the healthcare structured data. In this paper, a machine learning mode for processing the structured heath care data collected from the IoMT is suggested. To process the vast range of healthcare data, this paper proposed an MTGPLSTM model for the processing of the medical data. The proposed model integrates the linear regression model for the processing of healthcare information. With the developed model outlier model is implemented based on the FinTech model for the evaluation and prediction of the COVID-19 healthcare dataset collected from the IoMT. The proposed MTGPLSTM model comprises of the regression model to predict and evaluate the planning scheme for the prevention of the infection spreading. The developed model performance is evaluated based on the consideration of the different classifiers such as LR, SVR, RFR, LSTM and the proposed MTGPLSTM model and the different size of data as 1GB, 2GB and 3GB is mainly concerned. The comparative analysis expressed that the proposed MTGPLSTM model achieves ~4% reduced MAPE and RMSE value for the worldwide data; in case of china minimal MAPE value of 0.97 is achieved which is ~ 6% minimal than the existing classifier leads.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.35-37
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• 2019

MPEG-IoMT(Internet of Media Thing) 국제 표준은 미디어 사물 인터넷 간 프로세싱된 데이터를 주고 받기 위한 표준이다. 미디어 사물 간 주고 받기 위한 표준화된 데이터 표준은 제정되었으나, 미디어 사물에 연결하기 위한 미디어 사물의 서비스 조건에 대한 서술 표준은 존재하지 않는다. 본 논문에서는 미디어 사물을 연결하기 이전에 서비스 정보를 제공하기 위한 Service Description 온톨로지를 제안하며 제안된 온톨로지를 통해 미디어 사물의 자동화된 스마트 계약이 수월해질 것으로 예상된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.164-167
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• 2021

MPEG-IoMT 표준은 미디어 사물과 관련된 데이터 포맷 및 인터페이스와 관련된 국제 표준 프로젝트로서 여러 플랫폼에서도 다양한 미디어 사물을 등록, 연결 및 통신을 할 수 있게 제공한다. 하지만 현재로서 다수의 미디어 사물 간 연결 수립은 사용자가 수동으로 수행해야 하며, 연결이 되었다 하더라도 미디어 사물 간 데이터 통신의 진행 상태를 확인할 수단이 없다. 따라서 본 논문에서는 MPEG-IoMT 표준 내 미디어 사물 관리자(Media Thing Manager)를 제안한다. 미디어 사물 관리자는 미디어 사물 간 자동 연결을 위해 미션 데이터를 생성 및 관리하며, API 를 통해 미디어 사물 간 통신 수행 여부를 확인할 수 있다.

• Journal of Broadcast Engineering
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• v.23 no.2
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• pp.246-252
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• 2018

Hand gestures are attracting attention as a NUI (Natural User Interface) of wearable devices such as smart glasses. Recently, to support efficient media consumption in IoT (Internet of Things) and wearable environments, the standardization of IoMT (Internet of Media Things) is in the progress in MPEG. In IoMT, it is assumed that hand gesture detection and recognition are performed on a separate device, and thus provides an interoperable interface between these modules. Meanwhile, deep learning based hand gesture recognition techniques have been recently actively studied to improve the recognition performance. In this paper, we propose a method of hand gesture recognition based on CNN (Convolutional Neural Network) for various applications such as media consumption in wearable devices which is one of the use cases of IoMT. The proposed method detects hand contour from stereo images acquisitioned by smart glasses using depth information and color information, constructs data sets to learn CNN, and then recognizes gestures from input hand contour images. Experimental results show that the proposed method achieves the average 95% hand gesture recognition rate.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.171-178
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• 2017

Data mashup is a web technology that combines information from multiple sources into a single web application. Mashup applications create a new horizon for new services, like environmental monitoring. Environmental monitoring is a serious tool for the state and private organizations, which are located in regions with environmental hazards and seek to gain insights to detect hazards and locate them clearly. These organizations utilize a data mashup to merge datasets from different Internet of multimedia things (IoMT) context-based services in order to leverage its data analytics performance and the accuracy of the predictions. However, mashup different datasets from multiple sources is a privacy hazard as it might reveal citizens specific behaviors in different regions. The ability to preserve privacy in mashuped datasets and at the same time provide accurate insights becomes a key success for the spread of mashup services. In this paper, we present our efforts to build a fog-based middleware for private data mashup (FMPM) to serve a centralized environmental monitoring service. The proposed middleware is equipped with concealment mechanisms to preserve the privacy of the merged datasets from multiple IoMT networks involved in the mashup application. Also, these mechanisms preserve the aggregates in the dataset to maximize the usability of information to attain accurate analytical results. We also provide a scenario for IoMT-enabled data mashup service and experimentation results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5182-5199
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• 2017

Recently, Internet of Things (IoT) drives a large variety of research, development, and new type of markets. All type of devices and sensors will be part of the Internet of Things and will be able to communicate not only plain data, but also audio-visual, olfactory, and haptic media data. In addition, as the devices and sensors getting smarter, it is highly probable that they can process acquired media and metadata to extract higher level of information (e.g., semantics). To support such enhanced functionalities, ISO/IEC SC29 WG11 (MPEG) starts a new standard project, ISO/IEC 23093, called Internet of Media Things (IoMT) to provide standard data formats and APIs for media things. This paper presents the standardization activities of IoMT focusing on explaining terms, standard scopes, and major media things with their use cases. One of the use cases, an IoT system for a blind pedestrian navigation assistance, is evaluated to prove its effectiveness.