• ETRI Journal
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• 제32권5호
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• pp.810-818
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• 2010

This paper presents a new framework for integrating untranscribed spoken content into the acoustic training of an automatic speech recognition system. Untranscribed spoken content plays a very important role for under-resourced languages because the production of manually transcribed speech databases still represents a very expensive and time-consuming task. We proposed two new methods as part of the training framework. The first method focuses on combining initial acoustic models using a data-driven metric. The second method proposes an improved acoustic training procedure based on unsupervised transcriptions, in which word endings were modified by broad phonetic classes. The training framework was applied to baseline acoustic models using untranscribed spoken content from parliamentary debates. We include three types of acoustic models in the evaluation: baseline, reference content, and framework content models. The best overall result of 18.02% word error rate was achieved with the third type. This result demonstrates statistically significant improvement over the baseline and reference acoustic models.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.103-113
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• 2022

Based on the information framework and regulatory focus theory, this paper verifies the impact on the advertising effect when the matching effect forms between the video advertising content type (Information Type, Entertainment Type) and the information framework (Promotional, Prevention) and the regulatory focus (Promotion Orientation, Prevention Orientation) in social media. In order to verify, after selecting of the experimental subjects and finishing the prior investigation of the experimental operation, four video advertisements and formal experiments were performed. The experimental results showed that first, the content type affects the advertising effect of the video and the information framework; when the information video matches the preventive information framework, it will have a more obvious positive effect on the advertising effect; when the entertainment video matches the promotion information framework, it will have a more obvious positive effect on the advertising effect. Second, with the two matches of video content type and information framework, the entertainment-oriented video has a more obvious positive effect for the information-oriented video audience; the above results enrich user created content research and improve the quality and communication efficiency of video in social media.

• ETRI Journal
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• 제39권2호
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• pp.202-212
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• 2017

With the advent of the Internet-of-Things paradigm, the amount of data production has grown exponentially and the user demand for responsive consumption of data has increased significantly. Herein, we present DART, a fast and lightweight stream processing framework for the IoT environment. Because the DART framework targets a geospatially distributed environment of heterogeneous devices, the framework provides (1) an end-user tool for device registration and application authoring, (2) automatic worker node monitoring and task allocations, and (3) runtime management of user applications with fault tolerance. To maximize performance, the DART framework adopts an actor model in which applications are segmented into microtasks and assigned to an actor following a single responsibility. To prove the feasibility of the proposed framework, we implemented the DART system. We also conducted experiments to show that the system can significantly reduce computing burdens and alleviate network load by utilizing the idle resources of intermediate edge devices.

• 디지털융복합연구
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• 제7권3호
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• pp.137-146
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• 2009

This paper aims to propose a framework of content creating group with creativity under new convergence environments. The framework is built based on content concept hierarchy(deep/surface) relating with the creativity of group members. The diversity of group members(potential creativity) decrease and change into creative abilities in one unified view at each content concept hierarchy in time. To do this, three methods of building a creative group(interaction-base, direction-base, hybrid) are proposed. Cooperating processes and operators are designed to promote creative abilities in the content producing group. These cooperations are considering new media convergence industry's job road map(IPTV) and fundamental content attributes(semantic, narrative, discourse). In the framework, creative content is produced with the help of member's cultural openness, media richness and synchronicity, hierachical adaptability on dissimilarity. Deep level creativity of cognitive semiotics on moving image content is composed of psychological, transformational, situational creating abilities in the structure of group members. Designing analogy, metaphor, symbol operators help members to traverse deep structure of content concept hierarchy. Our framework has strong points to relate fundamental content deep structure with structure of content producing group and to induce creativity on cognitive structure of human being.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2020년도 추계학술대회
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• pp.202-204
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• 2020

We explored the blocking framework for regulating harmful content flooding the Internet. The procedure for obtaining content using the Internet was analyzed, and the technology for blocking content that can be applied at each stage of the acquisition process was investigated. Also, the characteristics and limitations of each blocking method were analyzed.

• ETRI Journal
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• 제46권4호
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• pp.697-707
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• 2024

Music identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music-speech separation, and music detection. In addition, we introduce the Cue-K-Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music-speech separation and music detection, effectively enhances TV broadcast audio monitoring.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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• pp.379-391
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• 2001

In this paper, we presented function catalogs that Internet content transcoding system for heterogeneous client devices must offer, and, we proposed content transcoding framework architecture that is good in extensibility. This transcoding framework can accommodate each transcoder in efficient way using device capability and user preference information based on W3C's CC/PP and Wap forum's UAProf specification. This architecture offers advantages that can add developed transcoder dynamically in Plug-In form later.

• 한국산학기술학회논문지
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• 제5권4호
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• pp.298-302
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• 2004

디지털 콘텐츠의 내용이 다양해지고 유통 구조가 복잡해짐으로 인하여 발생할 수 있는 문제들을 해결하기 위한 방안으로 모바일 환경에서 디지털 콘텐츠를 유통하는 전자상거래 모델을 제안하였다. 무선 환경에서의 온라인 유통 과정은 기존의 오프라인이나 유선 네트워크와는 다른 요소들이 많이 포함되어 있다. 더구나 디지털 저작물인 멀티미디어 콘텐츠는 쉽고 빠르게 불법 복제되고 전파될 수 있다. 이러한 환경 하에서 디지털 콘텐츠의 저작권과 관련된 당사자들의 권리와 이익을 보호할 수 있는 체계가 필요하다. 본 논문에서는 멀티미디어 유통 프레임워크인 MPEG-21에 기반 하여 무선 환경에서의 콘텐츠 유통 전자상거래 프레임워크를 제안하였다. 이 모델은 디지털 저작권 관리 시스템에 적용되어 전자상거래 시장에서 온라인 유통에 있어서 거래 당사자들 사이의 상호 권리 침해 방지를 위한 방법으로 활용될 수 있다.

• 대한수학교육학회지:수학교육학연구
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• 제9권2호
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• pp.459-471
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• 1999

This study is to develop a mathematics assessment framework based on the mathematics assessment framework and content strands suggested by KEDI, NCTM, NAEP, TIMSS, Oregon State, New Zealand. According to the literature review, there has been more emphasis that students themselves 'communicate' what they 'understood' and how they 'thought' during the situation of 'solving problems'. As a result, communication ability is considered one of the most important factors in assessment situation, which always accompany the abilities of understanding, thinking, problem-solving, etc. In conclusion, the framework related to mathematical knowledge consists of content and behavior domains. The content domain is categorized into 6 content areas of the 7th mathematics curriculum, and the behavior domain is divided into computation, understanding, inference, problem-solving, and communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4268-4290
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• 2015

Future mobile communications face enormous challenges as traditional voice services are replaced with increasing mobile multimedia and data services. To address the vast data traffic volume and the requirement of user Quality of Experience (QoE) in the next generation mobile networks, it is imperative to develop efficient content distribution technique, aiming at significantly reducing redundant data transmissions and improving content delivery performance. On the other hand, in recent years cloud computing as a promising new content-centric paradigm is exploited to fulfil the multimedia requirements by provisioning data and computing resources on demand. In this paper, we propose a cooperative caching framework which implements State based Content Distribution (SCD) algorithm for future mobile networks. In our proposed framework, cloud service providers deploy a plurality of cloudlets in the network forming a Distributed Cloud Service Network (DCSN), and pre-allocate content services in local cloudlets to avoid redundant content transmissions. We use content popularity and content state which is determined by content requests, editorial updates and new arrivals to formulate a content distribution optimization model. Data contents are deployed in local cloudlets according to the optimal solution to achieve the lowest average content delivery latency. We use simulation experiments to validate the effectiveness of our proposed framework. Numerical results show that the proposed framework can significantly improve content cache hit rate, reduce content delivery latency and outbound traffic volume in comparison with known existing caching strategies.