• Title/Summary/Keyword: Music streaming service

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Consumption Attribute Value Estimation of Digital Music Contents Service by Conjoint Analysis (컨조인트 분석을 통한 디지털 음악콘텐츠 서비스의 소비 속성별 가치 추정)

  • Shin, Dong-Myoung;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.14 no.12
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    • pp.924-934
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    • 2014
  • In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

Audio Forensic Marking System for Copyright Protection of Streaming Music Service (스트리밍 음악 서비스의 저작권 보호를 위한 오디오 포렌식마킹 시스템)

  • Seo, Yongseok;Park, Jihyun;Yoo, Wonyoung
    • Journal of Digital Contents Society
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    • v.15 no.3
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    • pp.357-363
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    • 2014
  • In this paper, we propose a new audio forensic marking system for protecting the copyright of the Internet-based music streaming services. In the proposed method, in order to guarantee the QoS of the streaming service, high speed, and generates a forensic mark inserted MP3 file. We make pre-marking process and generate a new forensic marked MP3 file, a combination of the pre-marked MP3 frame, the inserted user information. Experimental results show that the proposed method satisfactory results robustness and imperceptibility, and real-time properties. In addition, we were confirmed that the real-time embedding and detection from the streaming-based audio forensic marking system that has been implemented on the server/client is possible.

Music summarization using visual information of music and clustering method

  • Kim, Sang-Ho;Ji, Mi-Kyong;Kim, Hoi-Rin
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.400-405
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    • 2006
  • In this paper, we present effective methods for music summarization which summarize music automatically. It could be used for sample music of on-line digital music provider or some music retrieval technology. When summarizing music, we use different two methods according to music length. First method is for finding sabi or chorus part of music which can be regarded as the most important part of music and the second method is for extracting several parts which are in different structure or have different mood in the music. Our proposed music summarization system is better than conventional system when structure of target music is explicit. The proposed method could generate just one important segment of music or several segments which have different mood in the music. Thus, this scheme will be effective for summarizing music in several applications such as online music streaming service and sample music for Tcommerce.

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A MapReduce-based Artificial Neural Network Churn Prediction for Music Streaming Service

  • Chen, Min
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.55-60
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    • 2022
  • Churn prediction is a critical long-term problem for many business like music, games, magazines etc. The churn probability can be used to study many aspects of a business including proactive customer marketing, sales prediction, and churn-sensitive pricing models. It is quite challenging to design machine learning model to predict the customer churn accurately due to the large volume of the time-series data and the temporal issues of the data. In this paper, a parallel artificial neural network is proposed to create a highly-accurate customer churn model on a large customer dataset. The proposed model has achieved significant improvement in the accuracy of churn prediction. The scalability and effectiveness of the proposed algorithm is also studied.

The Antecedents of Switching Cost and its Effect on Customer Loyalty in Digital Music Service Industry (온라인 음악서비스 산업에서 전환비용의 선행요인 및 전환비용이 고객충성도에 미치는 영향)

  • Kang, Sung-Min;Uhm, Gi-Heon
    • Asia pacific journal of information systems
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    • v.20 no.2
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    • pp.157-180
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    • 2010
  • Rapid development of information technology has generated a new industry and market. In particular, network technology such as the Internet and other computer networks made transaction activities switched from traditional offline commerce to e-commerce. Among them, digital content is bit-based object which is created and distributed through electronic environment. In particular, many entertainment contents such as the music, the movies, and the computer game softwares are main products. Although digital content commerce has high potential demand, it lacks the consideration about the factor related to maintaining existing customer such as customer loyalty and switching costs. There has been a number of research on customer loyalty and other factors affecting it in the traditional electronic commerce environment, but there is a lack of research which examines the characteristics of digital content. The study about the effect of switching costs on customer loyalty in digital content commerce is necessary because the customers of digital content commerce market are from those of other e-commerce market or traditional offline commerce market. In addition, customer loyalty and switching costs are important factors because they may build up greater customer retention. For that reason, this study focused on examining the relationships among switching costs, antecedents for switching costs, and customer loyalty in online digital music service industry. The study has three major purposes: (1) to find antecedents of switching costs on digital content commerce and examine effect of antecedents for switching costs; (2) to identify effect of switching costs on customer loyalty in digital content commerce and examine moderating effects of alternative attractiveness; (3) to identify the differences of antecedents for switching costs by contents transmission type(streaming service and downloading service). And, the online digital music service industry is selected in this study since there are many users and transactions incurring. To accomplish these purposes, a survey questionnaire was developed and distributed to 256 informants. Survey instrument was developed based on previous research and pre-established survey items. Total of 206 surveys are collected and used in the data analysis. Among the respondents, 56.8% is male and 43.2% is female. Also, 86 responses were streaming service user group and 120 responses were download service user group. These data was analyzed using regression analysis. Major findings of empirical analysis can be summarized as follows. First, switching costs have positive effect on customer loyalty in digital content commerce environment. Second, the influence of switching costs on customer loyalty increases under conditions of high alternative attractiveness. Third, DRM convenience and breadth of use have positive effect on switching costs. The findings imply that the digital content provider should pay more attention to switching costs in addition to customer satisfaction in order to attract customers. Also, increasing the convenience of DRM use by securing the convenience of user interface and expanding the support device and increasing the service use scope by providing diverse value-added service helps to create a switching barrier. The result of the study can become a practical use in marketing strategy for maintaining existing customer. In particular, switching barrier is very important under conditions of high competition in the online music service market. This study can be used as a basis for further studies about customer retention in digital content commerce.

The Effect of Classic Live Streaming Performance's Service Quality on Viewer Satisfaction and Purchase Intention of On-site Performance (클래식 라이브 스트리밍 공연의 서비스 품질이 시청만족과 현장공연 구매의도에 미치는 영향)

  • Kim, Sung-Kyung;Limb, Seong-Joon
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.60-72
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    • 2020
  • The recent surge in live streaming has also changed the market for classical performing arts. Now more than just recording live performances, content specific to live streaming platforms is being produced, and live streaming is emerging as a new alternative to promoting and enjoying classical performances. Therefore, this study empirically analyzed the effect of service quality factors of the classical live streaming performance on the viewer satisfaction and the purchase intention of the on-site performance over the data collected from 198 viewers. Results suggest that, among the service quality factors of the classic live streaming performance, video content, convenience, and price, except for real-time interaction, affected the viewer satisfaction, and viewer satisfaction in turn affected the purchase intention of the on-site performance. Thus the publicity effect of live streaming for classical performing arts seemed to be proved.

The Changes of Korean Pop Music through Digital Music Industry (디지털음악시장을 통해 살펴본 국내 대중가요의 변화)

  • Park, Byung-Kyu
    • Journal of Digital Contents Society
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    • v.13 no.2
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    • pp.177-187
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    • 2012
  • This research considers growth of digital music industry and the consequential changes in the environment of music consumption, and how environment of purchasing digital music has influenced music's length and forms. Meaningful data such as average length of music, average time taken to chorus, appearance of intro, interlude, outro, and precedence of chorus has been collected from K-Pop of 2000 to 2011 through this research. Result has shown music sample streaming service in internet music industry has brought changes in music's length and formation, which leaded to birth of hook songs. Through this case of consumer's environmental influence on music, research predicts music industry will look forward to achieving techniques to deliver music more effectively by adopting the content's download-based internet environment.

The Diachronic Analysis on the Vertical Integration in the Domestic Digital Music Market (국내 음원 시장의 수직계열화 현상에 대한 통시적 분석)

  • Kim, Hee-Kyung
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.267-278
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    • 2018
  • The purpose of this study is to analyze how the vertical integration, which is the main characteristic of the domestic digital music market, appears in each period and how these phenomena affect the digital music market. As a result, we could find out that the domestic digital music market is a vertically integrated market centered on ISPs. There were a variety of subjects that led the digital music market from the early digital music in 2000s to the latest streaming market. However, ISP was the only subject that vertically integrated all aspects of content, distribution, and consumption through its subsidiaries and affiliated companies. A variety of combined services, supplementary services, and fare plans provided by using its platform and network have become mainstream services in the domestic digital market and have fixed the current transaction type in domestic market.

Smart Platform Design for Location based Drama Contents Services (위치기반의 드라마 콘텐츠서비스용 스마트 플랫폼 설계)

  • Choi, Youngho
    • Journal of Internet Computing and Services
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    • v.18 no.1
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    • pp.37-41
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    • 2017
  • In this paper, a platform was proposed that can service the streaming of location based real-time video-clip for smart-travel-services to work with PPL(Product Placement). The location information of drama like as LTE GPS and Beacon were used to provide the drama video with the PUSH service. And PPL DB with the attributes like as picture, video, music and URI(Uniform resource Identifier) was designed. As a result, this platform could provide the location based video streaming service that could replace the original PPL properties, color or shape, with the other properties by the interactive tagging the PPL DB in drama scenes. The proposed platform could provide the location based real-time video streaming service that can alter the PPL properties with the request of service provider.

CloudIoT-based Jukebox Platform: A Music Player for Mobile Users in Café

  • Byungseok Kang;Joohyun Lee;Ovidiu Bagdasar;Hyunseung Choo
    • Journal of Internet Technology
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    • v.21 no.5
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    • pp.1363-1374
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    • 2020
  • Contents services have been provided to people in a variety of ways. Jukebox service is one of the contents streaming which provides an automated music-playing service. User inserts coin and presses a play button, the jukebox automatically selects and plays the record. The Disk Jockey (DJ) in Korean cafeteria (café) received contents desired of customer and played them through the speakers in the store. In this paper, we propose a service platform that reinvented the Korean café DJ in an integrated environment of IoT and cloud computing. The user in a store can request contents (music, video, and message) through the service platform. The contents are provided through the public screen and speaker in the store where the user is located. This allows people in the same location store to enjoy the contents together. The user information and the usage history are collected and managed in the cloud. Therefore, users can receive customized services regardless of stores. We compare our platform to exist services. As a result of the performance evaluation, the proposed platform shows that contents can be efficiently provided to users and adapts IoT-Cloud integrated environments.