• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.113-136
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• 2020

Purpose In recent years, "Internet + " is a new social form. Has already brought the vitality of social and economic entities. The rapid development of Internet globalization, promote the development of an emerging network interaction, "Live broadcast". Viewers from all over the world can watch various types of live programs by connecting to the Internet. Viewers and live broadcasters can generate instant and efficient interactions. Design Many companies have taken advantage of the advantages of the live broadcast platform. Use live broadcasts for brand marketing activities. Branding compared to offline, online advertising is cheaper, Spread more quickly, get feedback from consumers more realistic. Merchants are also aware that this type of interaction creates a closer connection between consumers and businesses. This article will deduce a unique research model through lots of prior studies. Establish independent variables from two aspects of live software features and consumer features, and from the seven hypotheses derived, summarize how to make consumers more loyal to the same brand. The audience of Korean and Chinese live broadcast software is also growing. In order compare the differences between the consumer groups in Korea and China, this article uses the same research model, analysis of consumers in Korea and China. Findings Finally based on the results of the study. Proposal for rationalization of companies that use Korean-Chinese live broadcast platforms for brand marketing.

• Asia pacific journal of information systems
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• 제34권2호
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• pp.493-517
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• 2024

E-commerce has grown to be perceived as an integral component of modern customers' lives. Fast innovation enables businesses to implement new business ideas that enhance customers' shopping experiences. The motive is to study the allurement of unrestrained buying behaviors resulting from Live Streaming Commerce in the presence of Emotional imagery. The conceptual model and hypotheses for the study have been framed based on the SOR model. A survey was conducted in north India, where data was collected from 577 consumers experiencing live streaming and analyzed with the help of AMOS and SPSS software. The repulsive behavior scale has been developed by using qualitative research. The findings revealed that there is a significant relationship between the stimulus of livestreaming and unrestrained buying behaviors with the mediating role of emotional imagination. Two crucial mediating factors, pleasure, and arousal (fervent imagination), have successfully predicted experiential shopping behavior. The study has implications for online marketers and policymakers, as marketers can use our developed model to understand consumers' different buying behaviors, and policymakers can select and design specific features for the social presence of live streaming. Integrating three different types of unrestrained buying behavior influenced by live streaming would add to the literature. The study adds value to the literature by developing a scale to measure repulsive behavior after testing and validating with experts.

• Journal of Multimedia Information System
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• 제9권2호
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• pp.75-86
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• 2022

The existing image quality assessment (IQA) datasets have a small number of samples. Some methods based on transfer learning or data augmentation cannot make good use of image quality-related features. A No Reference (NR)-IQA method based on multi-task training and quality awareness is proposed. First, single or multiple distortion types and levels are imposed on the original image, and different strategies are used to augment different types of distortion datasets. With the idea of weak supervision, we use the Full Reference (FR)-IQA methods to obtain the pseudo-score label of the generated image. Then, we combine the classification information of the distortion type, level, and the information of the image quality score. The ResNet50 network is trained in the pre-train stage on the augmented dataset to obtain more quality-aware pre-training weights. Finally, the fine-tuning stage training is performed on the target IQA dataset using the quality-aware weights to predicate the final prediction score. Various experiments designed on the synthetic distortions and authentic distortions datasets (LIVE, CSIQ, TID2013, LIVEC, KonIQ-10K) prove that the proposed method can utilize the image quality-related features better than the method using only single-task training. The extracted quality-aware features improve the accuracy of the model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2053-2067
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• 2023

This paper proposes two video quality assessment methods based on deep neural network. (i)The first method uses the IQF-CNN (convolution neural network based on image quality features) to build image quality assessment method. The LIVE image database is used to test this method, the experiment show that it is effective. Therefore, this method is extended to the video quality assessment. At first every image frame of video is predicted, next the relationship between different image frames are analyzed by the hysteresis function and different window function to improve the accuracy of video quality assessment. (ii)The second method proposes a video quality assessment method based on convolution neural network (CNN) and gated circular unit network (GRU). First, the spatial features of video frames are extracted using CNN network, next the temporal features of the video frame using GRU network. Finally the extracted temporal and spatial features are analyzed by full connection layer of CNN network to obtain the video quality assessment score. All the above proposed methods are verified on the video databases, and compared with other methods.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.149-159
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• 2023

The Republic of Korea (ROK) Army is developing the Army Synthetic Battlefield Training System and plans divisional-level Live, Virtual, and Constructive (LVC) integrated training. This study proposes a plan to apply VR/AR/MR (Virtual Reality/Augmented Reality/Mixed Reality) technology to LVC integrated training systems to enhance the efficiency and effectiveness of future LVC integrated training. The study investigated immersive military training systems in the ROK and advanced countries. As a result, we confirm that immersive technology can significantly improve the efficiency and effectiveness of military training. Accordingly, we review the key technologies required for building a defense training system with immersive features and propose training subjects that can be enhanced in effectiveness and efficiency when built with an immersive approach. We also propose a plan to apply immersive technology to the Live, Virtual, and Constructive systems for the development of future LVC integrated training system.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권10호
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• pp.904-911
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• 2003

본 논문에서는 우편봉투 상에 기입된 인쇄체 한글 주소와 필기체 한글 주소를 효과적으로 구분할 수 있는 방법을 제안한다. 문자인식 모듈을 포함하는 각종 응용 시스템에서 입력 영상이 인쇄체인지 필기체인지 구분하는 것은 매우 중요하다. 이는 대부분의 경우 인쇄체 영상과 필기체 영상이 갖는 특징이 상이하여, 각 영상에서의 문자 및 문자열 분리 방법, 문자 인식 방법 둥이 매우 상이하게 개발되기 때문이다. 본 논문에서 제안한 구분 방법은 연결요소 추출 및 병합, 특징 추출, 영상 구분 순으로 수행된다. 연결요소 추출 및 병합 단계에서는 입력영상으로부터 연결요소를 추출한 후 일부 연결요소들에 대하여 병합을 시도하며, 특징 추출 단계에서는 병합결과 얻어진 연결요소들의 그룹들로부터 폭과 위치에 관련된 특징을 추출하고, 영상 구분 단계에서는 추출한 특징을 입력으로 제공받는 다충퍼셉트론을 사용하여 구분을 시도한다. 제안한 방법의 우수성을 증명하기 위해 실제 우편물로부터 추출된 3,147개의 한글 주소 영상을 사용하여 실험한 결과, 98.85%의 구분률을 보여주었다.

• 한국IT서비스학회지
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• 제11권3호
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• pp.161-175
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• 2012

A novel concept of ICT based service, which is called N-device service, is proposed and implemented in the form of N-device smart education services. The N-device services are different from the existing N-screen services in terms of the number of devices a user is using for a specific service at the same time. A N-device service consists of several smart devices which are different in size, software and hardware platform, mobility, manufacturer and the like by fully utilizing the characteristic of each device. The major and unique features of N-device services are analyzed and depicted in a strict way. Those are shared role for each device, service by configurable device, one sensor multiple use, real-time data sharing, role shifting and new market creation. It is turned out that the N-device service is more human centric compared with existing ICT based services and can give richer digital experience to users because non-existent services become possible with the new concept. However, there exist several barriers to be implemented and commercialized in the real world. Those include high development cost and time, small market and different application platforms of devices. These barriers can be overcome by technical advances and cooperation between relevant parties. The smart education is very prominent area, in which the novel concept can be applied with high priority because Korean government announced its plan to boost up new educational services with big budget and these are acceptable by enthusiastic Korean parents and students. That's why the N-device service is implemented in the education area, which is called as "livessam(live teacher)," with four smart devices, IPTV, tablet PC, PC and smart phone. By providing both detailed service scenario and techniques, we shows that the novel education service is technically feasible and acceptable by teachers and students.

• 디지털융복합연구
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• 제9권5호
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• pp.225-233
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• 2011

인터넷 전화는 IP 기반 인터넷에서 VoIP(Voice over IP) 기술을 이용해서 음성 전화를 지원하는 인터넷 서비스다. 인터넷 전화는 영상통화, 메시징과 같은 인터넷 멀티미디어 서비스를 융합한 음성전화 서비스를 지원할 수 있는 장점을 갖고 있다. 특히 스마트폰을 통한 인터넷 소셜 네트워크 서비스가 보급되면서 기존의 전화망을 대체하는 서비스로써 인터넷 전화에 대한 연구와 개발이 활발히 진행되고 있다. 본 논문에서는 SIP(Session Initiation Protocol) 기반 인터넷 전화의 음성 통화 내용을 녹취하는 시스템의 설계 및 구현에 대해 설명한다. 인터넷 전화 녹취 시스템은 리눅스 기반으로 양방향 음성 스트림을 믹싱하는 기능, 라이브 패킷 스니핑 기능, 녹취 음성 파일 송신 기능은 공개 소프트웨어를 사용해서 구현하였다. 향후 개발된 시스템은 VoIP 기반 콜센터 시스템 등과 같은 복합 시스템을 구축하는데 있어 기반 기술로 활용될 계획이다.