• Title/Summary/Keyword: Personalized broadcasting

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Trends of Broadcast Core Network Standardization (방송 코어 망(BCN) 표준화 동향)

  • Kim, S.C.;Lee, J.;Hur, N.;Choi, D.J.
    • Electronics and Telecommunications Trends
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    • v.36 no.6
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    • pp.25-35
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    • 2021
  • ATSC 3.0 is a next-generation terrestrial broadcasting standard that provides various functions and improved performance compared to the existing ATSC 1.0 High Definition standard. Based on the ATSC 3.0 broadcast system with IP-centric transport and coherence, it can provide personalized and personalized interactive services to TV viewers. However, the broadcasting system still has a structural limitation in that the service is deployed separately from broadcasters who are allocated a specific frequency and is expected to have different spectrum allocation for each market. To overcome this structural limitation and provide improved services compared with the current ATSC 3.0, preliminary studies were conducted to apply the core network concept of a communication network (particularly 5G) to ATSC 3.0 broadcasting. Finally, in february of this year, the ATSC TG3/S43 group for the development of the ATSC 3.0 Broadcast Core Network (BCN) standard was launched. This paper describes the background and current status of BCN standardization by ATSC TG3/S43, and future standardization prospects.

Preference-based User Interface Model for Personalized EPG (개인화된 전자프로그램가이드를 위한 선호도 기반의 사용자 인터페이스 모델)

  • Jung, Moon-Ryul;Park, Youn-Sun;Kim, Jung-Hwan;Na, Hee-Joo
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.416-423
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    • 2006
  • 본 논문은 개인별 프로그램 선호도와 채널 선호도를 기반으로 프로그램을 추천해주는 선호프로그램편성표를 구성하여 이를 효과적으로 보여주는 사용자인터페이스(UI) 모델을 제안한다. 현재 개인 맞춤화 전자프로그램가이드(PEPG)에 대한 다양한 연구가 이루어지고 있으나 주로 추천 알고리즘 연구에 그 초점이 맞춰져 있는 실정이다. 동일한 추천 알고리즘에 의해 추출된 프로그램이라 할지라도 정렬 순서와 디스플레이 방법에 따라 편성표를 이용하는 사용자의 용이성이 달라질 수 있다. 이에 본 논문은 추천 알고리즘에 의해 추출된 프로그램들의 선호도에 현재시간 기준으로 가중치를 부과하여 그 프로그램들의 선호도를 합산한 값으로 정렬한 편성표를 구성하였다. 이러한 선호프로그램편성표는 시청자가 가장 선호하는 프로그램과 채널이 최우선으로 보여지게 되므로 쉽고 빠르게 원하는 프로그램을 찾아갈 수 있다는 장점이 있다. 따라서, 사용자는 원하는 프로그램이 시작할 때까지 기다리거나 하는 시간의 낭비없이 시청이 가능하다. 본 논문을 통해 향후 등장하게 될 많은 개인 맞춤화된 서비스들을 개발하는데 도움이 될 수 있길 바란다.

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Design and Implement of Terrestrial & Satellite integrated DMB receiver for Personalized Broadcasting Services (개인 휴대형 방송 서비스를 위한 지상파/위성 통합 DMB 수신기 설계 및 구현)

  • Cho, Yong-Hoon;Kim, Won-Yong;Choi, Soon-Pil;Oh, Se-In;Choi, Jeong-Hoon
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.289-291
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    • 2007
  • The Digital Multimedia Broadcasting(DMB) system is developed to offer high quality audio-visual multimedia contents to the uses by the various portable terminals in the mobile environment. Integrated complex reception platform is required to receive multimedia broadcasting services transmitted from various transmission media. In this paper, we present the design and implementation technic for providing the both of terrestrial and satellite DMB services simultaneously using the same hardware platform. The implemented complex receiving terminal to accommodate these DMB services simultaneously need composed of it RF module. it baseband module, it complex control module and the complex de-multiplexer module. The complex control module is designed using uClinux operating system. The complex de-multiplexer, which perform the functions of the address decoder and each DMB stream de-multiplexer, is implemented. with FPGA device. The implemented platform is tested in a real environment and its performance is satisfied with required performance criteria.

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A technique to support the personalized learning based on the log data of piano chords practicing (피아노 코드 연습 데이터를 활용한 맞춤형 학습 지원)

  • Woosung, Jung;Eunjoo, Lee;Suah, Choe
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.191-201
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    • 2023
  • As Edutech arises which is integrating IT technology into education, many related attempts have been tried on music education area. The focus has been shifted from the teachers to the learners, and this makes the personalized learning emerge. The learner's proficiency is an essential factor to support the personalized learning. The chord fingering is an important technique in piano learning. In this paper, a personalized learning tool for piano chords has been suggested. And then, several utilization ways have been described by analyzing the chords patterns. Specifically, the difficulty of the chords and the proficiency of the learner are derived from the accumulated practicing log data of the users. More effective learning way of the chords has been presented through hierarchical clustering based on chords similarity. Furthermore, the suggested approach where only the practicing log data are used lessens the learner's burden to measure the proficiency and the chord's difficulty without additional efforts like taking tests.

Implementation of TV-Anytime Compliant STB for Personalized TV Services

  • Lee Hee Kyung;Yang Seung Jun;Kim Jae Gon;Hong Jin Woo
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.576-580
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    • 2004
  • In this paper, we present a design and implementation of a TV-Anytime compliant STB to provide personalized content consumption according to user preferences and various terminal/network conditions. This paper mainly details with a metadata engine which consists of meta data de-multiplexing, metadata decoding, and metadata-based content browsing. For personalized content consumption, the proposed metadata engine provides the following key functionalities: advanced EPG, non-linear segment navigation wirh Tables-of-Content and/or event-based summary, automatic recommendation of user-preferred programs, and etc. The implemented STB employing the metadata engine is successfully tested with a set of service scenarios in an end-to-end broadcasting test-bed.

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Targeting Algorithm for Personalized Message Syndication (개인 맞춤형 메시지 신디케이션을 위한 타겟팅 알고리즘)

  • Kim, Nam-Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.43-49
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    • 2012
  • Personalized message syndication is an important process for maximizing the effect of mobile marketing. This paper proposes an algorithm for determining clients satisfying target conditions in real-time. The proxy server as an intermediate node stores client profiles (gender, age, location, etc) and their respective summaries into a database. When a company syndicates messages at run time, the proxy server maps target conditions expressed by boolean expressions to integer value and determines target clients by comparing target value with profile summary. Thus, this approach provides efficient personalized message syndication in very large systems with millions of clients because it can determine target clients in real-time and work with a traditional database easily.

A DNN-Based Personalized HRTF Estimation Method for 3D Immersive Audio

  • Son, Ji Su;Choi, Seung Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.161-167
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    • 2021
  • This paper proposes a new personalized HRTF estimation method which is based on a deep neural network (DNN) model and improved elevation reproduction using a notch filter. In the previous study, a DNN model was proposed that estimates the magnitude of HRTF by using anthropometric measurements [1]. However, since this method uses zero-phase without estimating the phase, it causes the internalization (i.e., the inside-the-head localization) of sound when listening the spatial sound. We devise a method to estimate both the magnitude and phase of HRTF based on the DNN model. Personalized HRIR was estimated using the anthropometric measurements including detailed data of the head, torso, shoulders and ears as inputs for the DNN model. After that, the estimated HRIR was filtered with an appropriate notch filter to improve elevation reproduction. In order to evaluate the performance, both of the objective and subjective evaluations are conducted. For the objective evaluation, the root mean square error (RMSE) and the log spectral distance (LSD) between the reference HRTF and the estimated HRTF are measured. For subjective evaluation, the MUSHRA test and preference test are conducted. As a result, the proposed method can make listeners experience more immersive audio than the previous methods.

Design of Metadata Retrieval Structure for Efficient Browsing of Personalized Broadcasting Contents (개인화된 방송 컨텐츠의 효율적 검색을 위한 메타데이터 검색 구조 설계)

  • Lee, Hye-Gyu;Park, Sung-Han
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.2
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    • pp.100-105
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    • 2009
  • In this paper, we Propose a browsing system to reduce the contents retrieval time in the personalized broadcasting system. For this purpose, we add a subgenre table between Classification DS and Summarization DS of MPEG-7 MDS. The subgenre includes a subgenre list to shorten the searching time of contents which we want to find. In addition we divide metadata into event and object using Summarization DS of the MPEG-7 MDS. In this way, the hierarchical browsing of broadcasting contents is made possible. This structure may reduce the complexity of search by storing event and object separately. Our simulation results show that the search time of the proposed system is shorter than that of the previous works.

Design of Two-Step Open System for Personalized Health Data Access (개인화된 건강 데이터 처리를 위한 2-Step 개방형 시스템의 설계)

  • Jeon, Young-Jun;Hwang, Hee-Joung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.177-183
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    • 2015
  • The purpose of ICT Healing platform is the prevention of chronic disease. It is intended to early warning of the disease through the information such as the bio-signals and lifestyle. In this paper, we provide a 2-Step open system(TOS) for personalized health data access. TOS is connected between the personal health related data providers and service providers of individuals ICT Healing platform, a software engine for relaying personalized health data. The proposed system, to operate in isolation to 2 step in personal health document repository Inbound module and Outbound module to provide an inquiry service to external organizations. Therefore, we propose a personalized editable Manifest concept for defining data exchange between Step. This can be used as a reference model to collect the personal health information is scattered in many health related service institutions (Hospitals, Fitness Centers, Health Examination Centers, Personal Health Device, etc.) and under private-led liberalization.

New Re-ranking Technique based on Concept-Network Profiles for Personalized Web Search (웹 검색 개인화를 위한 개념네트워크 프로파일 기반 순위 재조정 기법)

  • Kim, Han-Joon;Noh, Joon-Ho;Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.69-76
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    • 2012
  • This paper proposes a novel way of personalized web search through re-ranking the search results with user profiles of concept-network structure. Basically, personalized search systems need to be based on user profiles that contain users' search patterns, and they actively use the user profiles in order to expand initial queries or to re-rank the search results. The proposed method is a sort of a re-ranking personalized search method integrated with query expansion facility. The method identifies some documents which occur commonly among a set of different search results from the expanded queries, and re-ranks the search results by the degree of co-occurring. We show that the proposed method outperforms the conventional ones by performing the empirical web search with a number of actual users who have diverse information needs and query intents.