• Title/Summary/Keyword: Video media

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Caption Data Transmission Method for HDTV Picture Quality Improvement (DTV 화질향상을 위한 자막데이터 전송방법)

  • Han, Chan-Ho
    • Journal of Korea Multimedia Society
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    • v.20 no.10
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    • pp.1628-1636
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    • 2017
  • Such as closed caption, ancillary data, electronic program guide(EPG), data broadcasting, and etc, increased data for service convenience cause to degrade video quality of high definition contents. This article propose a method to transfer the closed caption data of video contents without video quality degradation. Video quality degradation does not cause in video compression by the block image insertion of caption data in DTV essential hidden area. Additionally the proposed methods have advantage to synchronize video, audio, and caption from preinserted script without time delay.

Adaptive QoS Study for Video Streaming Service In MMT Protocol (비디오 스트리밍 서비스를 위한 MMT 기반 적응적 QoS 연구)

  • Jo, Bokyun;Lee, Doohyun;Suh, Doug Young
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.40-47
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    • 2015
  • This paper discusses QoS enhancement in the Best-effort services of the service plan provided by MPEG Media Transport (MMT) systems for video streaming applications. Among MMT services, i.e. per-flow, per-class, and best-effort services, the server does not provide guaranteed bandwidth for the best-effort service only. Therefore, in the best-effort services, a bandwidth access priority is defined for various services, where the lowest priority is assigned to the low-level video services. To alleviate the issue of bandwidth limitation in the best-effort services, this paper investigates transmission of low-resolution video with low bitrate and up-sampling. Our experimental results prove the superiority of the proposed method in terms of delivered video quality.

Relationships between Digital Media and Exhibition Design Methods Development -Focused on Camera Sensing & Video Input/Output Works- (디지털미디어와 전시디자인기법개발의 상관성 -카메라 센서와 비디오 입출력작업을 중심으로-)

  • Ahn, Ho-Eun
    • The Journal of the Korea Contents Association
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    • v.8 no.11
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    • pp.162-170
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    • 2008
  • The promotion of new product is one of most important object for exhibition design. The majority of conventional exhibition technique has been implemented through one-way communication. However, using digital technology, development of new exhibition techniques is necessary for promotion of high-tech products and consideration of the phases of the times. This paper propose the various possibilities of exhibition design model which is using camera sensing and video input/output. Interactivity is efficient method to communicate between viewers and displays. Viewers can be participate actively and exhibition goal will be accomplish through this. Using camera as visual senses, video input/output technique is offered not only introducing new product but also entertaining viewers through various ways of representation. Physical experience and learning process can be expected from the exhibition space and the object. The classification of the artist who are using video input/output technique and exhibition examples are described. The collaboration on a work with the new media artist and the exhibition design will be complement each other. It will be solved the problems of realization and corporation of idea and technology.

Analysis of time-series user request pattern dataset for MEC-based video caching scenario (MEC 기반 비디오 캐시 시나리오를 위한 시계열 사용자 요청 패턴 데이터 세트 분석)

  • Akbar, Waleed;Muhammad, Afaq;Song, Wang-Cheol
    • KNOM Review
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    • v.24 no.1
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    • pp.20-28
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    • 2021
  • Extensive use of social media applications and mobile devices continues to increase data traffic. Social media applications generate an endless and massive amount of multimedia traffic, specifically video traffic. Many social media platforms such as YouTube, Daily Motion, and Netflix generate endless video traffic. On these platforms, only a few popular videos are requested many times as compared to other videos. These popular videos should be cached in the user vicinity to meet continuous user demands. MEC has emerged as an essential paradigm for handling consistent user demand and caching videos in user proximity. The problem is to understand how user demand pattern varies with time. This paper analyzes three publicly available datasets, MovieLens 20M, MovieLens 100K, and The Movies Dataset, to find the user request pattern over time. We find hourly, daily, monthly, and yearly trends of all the datasets. Our resulted pattern could be used in other research while generating and analyzing the user request pattern in MEC-based video caching scenarios.

A Study on the Counseling Experience of Counselors on Video Counseling with Digital Mask (디지털가면을 활용한 화상상담에 대한 상담자들의 상담 경험 연구)

  • Cho, Eunsuk;Jang, Eun-Hee;Oh, Yoon-Seok
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.67-77
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    • 2022
  • The purpose of this study was to explore the experiences of counselors who conducted video counseling using digital mask. To this end, the contents of the focus group interview with four counselors who experienced mask video counseling for a total of 10 Korean college student clients were analyzed using thematic analysis method. Participant counselors reported that they had been concerned about mask video counseling before the start but gradually be adjusted to the method. Since they have observed the rapid self-disclosure of the clients and smooth counseling process, they positively predicted the possibility of digital masks as a therapeutic media. They also mentioned the need for additional education and training for the counselors who are using the new on-line counseling media. Therefore, various supports for proactive responses of counselors to online counseling media need to be explored.

Survey on Deep learning-based Content-adaptive Video Compression Techniques (딥러닝 기반 컨텐츠 적응적 영상 압축 기술 동향)

  • Han, Changwoo;Kim, Hongil;Kang, Hyun-ku;Kwon, Hyoungjin;Lim, Sung-Chang;Jung, Seung-Won
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.527-537
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    • 2022
  • As multimedia contents demand and supply increase, internet traffic around the world increases. Several standardization groups are striving to establish more efficient compression standards to mitigate the problem. In particular, research to introduce deep learning technology into compression standards is actively underway. Despite the fact that deep learning-based technologies show high performance, they suffer from the domain gap problem when test video sequences have different characteristics of training video sequences. To this end, several methods have been made to introduce content-adaptive deep video compression. In this paper, we will look into these methods by three aspects: codec information-aware methods, model selection methods, and information signaling methods.

Design of Interactive Operations using Prefetching in VoD System (VoD 시스템에서 선반입 기법을 이용한 대화식 동작의 설계)

  • Kim, Soon-Cheol
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.2
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    • pp.31-39
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    • 2010
  • VoD(Video-on-Demand) servers have to provide timely processing guarantees for continuous media and reduce the storage and bandwidth requirements for continuous media. The compression techniques make the bit rates of compressed video data significantly variable from frame to frame. A VoD system should be able to provide the client with interactive operations such as fast forward and fast rewind in addition to normal playback of movie. However, interactive operations require additional resources such as storage space, disk bandwidth, memory and network bandwidth. In a stored video application such as VoD system, it is possible that a priori disk access patterns can be used to reserve the system resources in advance. In addition, clients of VoD server spend most of their time in playback mode and the period of time spent in interactive mode is relatively small. In this paper, I present the new buffer management scheme that provides efficient support for interactive operations in a VoD server using variable bit rate continuous media. Simulation results show that our strategy achieves 34% increase of the number of accepted clients over the LRU strategy.

The Impact of Mobile Channel Adoption on Video Consumption: Are We Watching More and for Longer? (모바일 채널 수용이 고객의 동영상 소비에 미치는 영향에 관한 실증 연구)

  • SangA Choi;Minhyung Lee;HanByeol Stella Choi;Heeseok Lee
    • Information Systems Review
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    • v.25 no.3
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    • pp.121-138
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    • 2023
  • The advancement in mobile technology brought disruptive innovation in media industry. The introduction of mobile devices broke spatial and temporal restrictions in media consumption. This study investigates the impact of mobile channel adoption on video viewing behavior, using real-world dataset obtained from a particular on-demand service provider in South Korea. We find that the adoption of a mobile channel significantly increases the total viewing time of video-on-demand via TV and the number of contents viewed. Our results suggest that the mobile channels act as a complement channel to conventional TV channels. We provide theoretical and practical insights on consumer usage in the emerging over-the-top market.

Video GIS using Virtual World Mapping Technique (가상 세계 매핑기법을 이용한 비디오 GIS)

  • Kim, Sung-Soo;Lee, Seong-Ho;Kim, Kyung-Ok;Lee, Jong-Hun
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.4 s.22
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    • pp.31-39
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    • 2002
  • In this paper, we propose Media CIS system architecture which provides geographical information of geo-features in video sequences by using 3D geographical database and GPS-related data resulted from 4S-Van. We introduce a novel interoperable geographical data service concept, so-called, Virtual World Mapping (VWA) that can map 3D graphic world with real-world video to provide geographical information. Our proposed method can easily retrieve geographical information and attributes to reconstruct 3D virtual space according to certain frame in video sequences. Our proposed system architecture also has an advantage that can provide geographical information service with video stream without any image processing procedures. In addition to, describing the details of our components, we present a Media GIS web service system by using GeoVideo Server, which performs VWM technique.

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Deep Video Stabilization via Optical Flow in Unstable Scenes (동영상 안정화를 위한 옵티컬 플로우의 비지도 학습 방법)

  • Bohee Lee;Kwangsu Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.115-127
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    • 2023
  • Video stabilization is one of the camera technologies that the importance is gradually increasing as the personal media market has recently become huge. For deep learning-based video stabilization, existing methods collect pairs of video datas before and after stabilization, but it takes a lot of time and effort to create synchronized datas. Recently, to solve this problem, unsupervised learning method using only unstable video data has been proposed. In this paper, we propose a network structure that learns the stabilized trajectory only with the unstable video image without the pair of unstable and stable video pair using the Convolutional Auto Encoder structure, one of the unsupervised learning methods. Optical flow data is used as network input and output, and optical flow data was mapped into grid units to simplify the network and minimize noise. In addition, to generate a stabilized trajectory with an unsupervised learning method, we define the loss function that smoothing the input optical flow data. And through comparison of the results, we confirmed that the network is learned as intended by the loss function.