• Title/Summary/Keyword: video scenario

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An ANALYTICTRANSFORM KERNEL DERIVATION METHOD FOR VERSATILE VIDEO CODING (VVC) (VVC 비디오 코덱을 위한 변환 커널 유도 방법)

  • Shrestha, Sandeep;lee, Bumshik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.11a
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    • pp.246-248
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    • 2019
  • In the ongoing standardization of Versatile Video Coding (VVC), DCT-2, DST-7 and DCT-8 are accounted as the vital transform kernels. While storing all of those transform kernels, ROM memory storage is considered as the major problem. So, to deal with this scenario, a common sparse unified matrix concept is introduced in this paper. From the proposed matrix, any point transform kernels (DCT-2, DST-7, DCT-8, DST-4 and DCT-4) can be achieved after some mathematical computation. DCT-2, DST-7 and DCT-8 are the used major transform kernel in this paper.

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A Modified Expansion-Contraction Method for Mobile Object Tracking in Video Surveillance: Indoor Environment

  • Kang, Jin-Shig
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.4
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    • pp.298-306
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    • 2013
  • Recent years have witnessed a growing interest in the fields of video surveillance and mobile object tracking. This paper proposes a mobile object tracking algorithm. First, several parameters such as object window, object area, and expansion-contraction (E-C) parameter are defined. Then, a modified E-C algorithm for multiple-object tracking is presented. The proposed algorithm tracks moving objects by expansion and contraction of the object window. In addition, it includes methods for updating the background image and avoiding occlusion of the target image. The validity of the proposed algorithm is verified experimentally. For example, the first scenario traces the path of two people walking in opposite directions in a hallway, whereas the second one is conducted to track three people in a group of four walkers.

Classification of Operating State of Screw Decanter using Video-Based Optical Flow and LSTM Classifier

  • Lee, Sang-Hyeop;Wesonga, Sheilla;Park, Jang-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.2_1
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    • pp.169-176
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    • 2022
  • Prognostics and health management (PHM) is recently converging throughout the industry, one of the trending issue is to detect abnormal conditions at decanter centrifuge during water treatment facilities. Wastewater treatment operation produces corrosive gas which results failures on attached sensors. This scenario causes frequent sensor replacement and requires highly qualified manager's visual inspection while replacing important parts such as bearings and screws. In this paper, we propose anomaly detection by measuring the vibration of the decanter centrifuge based on the video camera images. Measuring the vibration of the screw decanter by applying the optical flow technique, the amount of movement change of the corresponding pixel is measured and fed into the LST M model. As a result, it is possible to detect the normal/warning/dangerous state based on LSTM classification. In the future work, we aim to gather more abnormal data in order to increase the further accuracy so that it can be utilized in the field of industry.

Scalable Video Broadcasting with QoS Adaptation (계층화 비디오 브로드캐스팅을 위한 QoS 적응변환방법)

  • Thang, Truong Cong;Kang, Jung-Won;Lee, Kyung-Jun;Yoo, Jeong-Ju;Lim, Jong-Soo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.11a
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    • pp.189-192
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    • 2008
  • Modern broadcasting/multicasting networks has the heterogeneous nature in terms of terminals and available bandwidth. Such heterogeneity could be coped by scalable video coding (SVC) standard developed recently. More specifically, spatial layers of an SVC bitstream can be consumed by different terminals and SNR (and temporal) scalability can be used to cope with bandwidth heterogeneity. In this work, we tackle the problem of SVC adaptation for different user groups receiving the same broadcast/multicast video, so as to provide a flexible tradeoff between the groups while also maximizing the overall quality of the users. The adaptation process to truncate an SVC bitstream is first formulated as an optimization problem. Then the problem is represented by MPEG-21 DIA description tools, which can be solved by a universal processing. The results show that MPEG-21 DIA is useful to enable automatic and interoperable adaptation in our scenario.

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A Study on System for Analyzing Story of Cinematographic work Based on Estimating Tension of User (감성 상태 기반의 영상 저작물 스토리 분석 시스템 및 분석 방법 개발에 관한 연구)

  • Woo, Jeong-gueon
    • Journal of Engineering Education Research
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    • v.18 no.6
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    • pp.64-69
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    • 2015
  • A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

Design and Analysis of MPEG-2 MP@HL Decoder in Multi-Processor Environments

  • Yoo, Seung-Hwan;Lee, Hyun-Seung;Lee, Sang-Jo;Park, Rae-Hong;Kim, Do-Hyung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.211-216
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    • 2009
  • As demands for high-definition television (HDTV) increase, the implementation of real-time decoding of high-definition (HD) video becomes an important issue. The data size for HD video is so large that real-time processing of the data is difficult to implement, especially with software. In order to implement a fast moving picture expert group-2 decoder for HDTV, we compose five scenarios that use parallel processing techniques such as data decomposition, task decomposition, and pipelining. Assuming the multi digital signal processor environments, we analyze each scenario in three aspects: decoding speed, L1 memory size, and bandwidth. By comparing the scenarios, we decide the most suitable cases for different situations. We simulate the scenarios in the dual-core and dual-central processing unit environment by using OpenMP and analyze the simulation results.

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A Video Streaming Adaptive Packet Pre-marker in DiffServ Networks (DiffServ 네트워크에서 비디오 스트리밍을 위한 적응적 트래픽 마커 알고리듬 연구)

  • Jung, Young-H.;Kang, Young-Wook;Choe, Yoon-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.12B
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    • pp.735-742
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    • 2007
  • We propose an effective packet marking algorithm for video streaming in DiffServ network. Because legacy packet markers such as srTCM(single rate three color marker) cannot distinguish the importance of packet, these markers can cause quality degradation of streaming during the network congestion period. Recently proposed TMS (Two Marker System) [4] shows effectiveness in such scenario that video streaming service is struggling with other types of service traffic. However, if many video streaming services co-exist in DiffServ network and result in competition among themselves, then both legacy packet markers and even TMS cannot prevent drastic streaming quality degradation. To cope with this, we suggest A-TCPM (Adaptive time sliding window Three Color Marker) algorithm. In this algorithm, an A-TCPM module decides the color of a racket based upon the probability which is lead by current channel status and frame importance ratio. Simulation results show that proposed A-TCPM algorithm can enhance streaming service quality especially when overbooked video streaming sessions struggle with themselves.

Classification and Recommendation of Scene Templates for PR Video Making Service based on Strategic Meta Information (홍보동영상 제작 서비스를 위한 전략메타정보 기반 장면템플릿 분류 및 추천)

  • Park, Jongbin;Lee, Han-Duck;Kim, Kyung-Won;Jung, Jong-Jin;Lim, Tae-Beom
    • Journal of Broadcast Engineering
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    • v.20 no.6
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    • pp.848-861
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    • 2015
  • In this paper, we introduce a new web-based PR video making service system. Many video editing tools have required tough editing skill or scenario planning stage for a just simple PR video making. Some users may prefer a simple and fast way than sophisticated and complex functionality. To solve this problem, it is important to provide easy user interface and intelligent classification and recommendation scheme. Therefore, we propose a new template classification and recommendation scheme using a topic modeling method. The proposed scheme has the big advantage of being able to handle the unstructured meta data as well as structured one.

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.

Case Study on Realistic Content Development Process of Public Enterprise - Focus on case of Korea Industrial Complex Corporation Gallery - (공기업의 실감콘텐츠 개발 프로세스 사례연구 - 한국산업단지공단 홍보관 사례를 중심으로-)

  • Chung, Hae Won;Cho, Woo Ri
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.91-97
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    • 2024
  • Recently, with the rapid development of digital media technology, Realistic content that stimulates users' five senses is being used in various fields. This study focused on the case of the development of the Korea Industrial Complex Corporation's public relations center as the subject of the study to study the realistic content development process of public enterprises. First, the realistic content development process was divided into 10 stages and practical guidelines were presented to help develop realistic content in the future by presenting important development points and methods at each stage. Second, among the realistic content development processes, the importance of storytelling was analyzed at the scenario stage. Third, various methods of displaying content were analyzed. In the case of the Korea Industrial Complex Corporation's public relations center, it was proposed in three ways: story video, experience video, and media wall. It is suggested that the role of branding, promotion, and PR can be performed in one public relations center through an effective development process.