• ETRI Journal
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• v.34 no.3
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• pp.341-351
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• 2012

We deal with a resource allocation problem for multimedia service discrimination in wireless networks. We assume that a service provider allocates network resources to users who can choose and access one of the discriminated services. To express the rational service selection of users, the utility function of users is devised to reflect both service quality and cost. Regarding the utility function of a service provider, total profit and efficiency of resource usage have been considered. The proposed service discrimination framework is composed of two game models. An outer model is a repeated Stackelberg game between a service provider and a user group, while an inner model is a service selection game among users, which is solved by adopting the Kalai-Smorodinsky bargaining solution. Through simulation experiments, we compare the proposed framework with existing resource allocation methods according to user cost sensitivity. The proposed framework performed better than existing frameworks in terms of total profit and fairness.

• Journal of Korea Multimedia Society
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• v.2 no.2
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• pp.217-229
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• 1999

Framework is the set of interrelated classes, constructing reusable design in specific domain or set of abstracted classes, and defines common architecture among applications included in domain. Developers can reuse not only class code but also wide range of knowledge on domain by reusing framework. In this papers, we present COM(Component-Oriented Methodology) for the reuse of framework, and develop construction environment for framework and domain development. That is, domain is analyzed by input of domain knowledge on real world to create software based on component, and hotspot is identified through analyzed information, and redesigned(refactoring) by putting additional information on users and developers. After that, I will create domain framework and application framework depending on domain. In this Component-oriented methodology, information is searched, understood and extracted or composite through component-pattern library storage internally. Then this information is classified into the information on component and pattern respectively, and used as additional information in redesigning. With this, developer can obtain reusability, easiness and portability by constructing infrastructure environment that allow to register, update and delete component through Component Pattern Management System(CPMS) under the development environment which can be easily applied to his own application using multimedia component, in this thesis, CORBA(Common Object Request Broker Architecture) environment.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.200-208
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• 2016

Compressed sensing is a signal processing technique for efficiently acquiring and reconstructing in an under-sampled (i.e., under Nyquist rate) representation. A block compressed sensing with projected Landweber (BCS-SPL) framework is most widely known, but, it has high computational complexity at decoder side. In this paper, by introducing adaptive exit criteria instead of fixed exit criteria to SPL framework, an effective fast algorithm is designed in such a way that it can utilize efficiently the sparsity property in DCT coefficients during the iterative thresholding process. Experimental results show that the proposed algorithm results in the significant reduction of the decoding time, while providing better visual qualities than conventional algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.949-950
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• 2017

딥러닝(Deep Learning)을 효과적으로 연구하고 개발할 수 있도록 도와주는 다양한 딥러닝 프레임워크(Deep Learning Framework)가 있다. 딥러닝 프레임워크는 현재 100 가지도 넘는 종류가 있다. 그렇기 때문에 개발의 목적에 가장 적합한 딥러닝 프레임워크를 선택하는 것은 쉽지 않다. 본고에서는 5가지 대표적인 딥러닝 프레임워크에 대해서 각각의 특징을 분석하고 비교한다. 이를 통하여 딥러닝을 개발하기 전에 개발 목적에 적합한 프레임워크를 선택할 수 있는 간단한 안목을 제시한다.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1843-1846
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• 2003

In MPEG-21 Multimedia Framework, Digital Item (DI) is the minimum unit fur processing and delivering the multimedia contents. So how to process, manipulate and represent DI is a very important problem in the standpoint of interoperability for each terminal and provide., and Digital Item Processing (DIP) regarding this issue. This paper suggests technologies which are concerning how DIP should interact with other parts of MPEG-21 (Digital Item Adaptation (DIA), Intellectual Property Management and Protection (IPMP), etc.). For this concept, this paper uses the video summary contents which can describe the hierarchical structures of original multimedia contents. In MPEG-21 environment, the usage of this summary video is very useful delivery and consumption way in view of network burden, efficient accessing to contents.

• ETRI Journal
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• v.26 no.2
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• pp.112-121
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• 2004

Digital Multimedia Broadcasting (DMB) is an upcoming standard in Korea used to provide mobile multimedia broadcasting service based on the Eureka-147 Digital Audio Broadcasting (DAB) system. The current dominant multimedia coding standard, MPEG-4, is foreseen to play an important role in forthcoming DMB services. However, the current approaches for transporting MPEG-4 content over DMB networks are not optimized. To address this issue we propose a novel MPEG-4 stream multiplexer, called M4SMux, which provides better stream multiplexing and delivery over DMB networks. M4SMux features an MPEG-4 elementary-stream interleaving mechanism that reduces the multiplexing overhead and a multiplex configuration mechanism that utilizes M4SLinkTable for easy content access. In addition, we propose an error correction method which enhances transport efficiency.

• ETRI Journal
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• v.32 no.6
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• pp.863-870
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• 2010

In recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two user simulation environments. The simulation results show that the channel capacity of SVC is 16% to 20% smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with an SVC extractor. The proposed network framework shows a channel capacity 50% (maximum) lower than that found in previous research studies.

• Journal of Multimedia Information System
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• v.2 no.3
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• pp.275-280
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• 2015

Recently brainwaves are utilized diversely in the field of medicine, entertainment, education and so on. In the case of medicine, brainwaves are analyzed to estimate patients' diseases. However, the applications for entertainments usually utilize brainwaves as control signal without figuring out the characters of the brainwaves. Given that users' brainwaves are different each other, a normalization method is essential. The traditional brainwave normalization approaches utilize normal distribution. However, those approaches assume that brainwaves are collected enough to conduct normal distribution. When the few amounts of brainwaves are measured, the accuracy of the control signal based on the measured brainwaves becomes low. In this paper, we propose a normalization framework of BCI-based facial interfaces for novel volume controllers, which can normalizes the few amounts of brainwaves and then generates the control signals of BCI-based facial interfaces. In the experiments, two subjects were involved to validate the proposed framework and then the normalization processes were introduced.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.8-16
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• 2019

As smartphone users grow, mobile operators are trying to standardize and commercialize Rich Communication Suite (RCS), which is a next-generation messaging service, so that it can replace legacy messaging services. However, it is not enough to spread RCS widely to the users only by publishing an RCS app. To increase the use of RCS, a web-based open API for common RCS capabilities is needed. By using the API, Internet-based developers can create applications that make use of the RCS capabilities with less effort and time. This paper proposes a lightweight Comet-based open API to allow mobile operators to expose useful information and capabilities to application developers. The system architecture of the open API framework and call flow between relevant nodes are defined. In addition, examples of protocol translations on the framework are provided.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1353-1361
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• 2018

With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.