• Title/Summary/Keyword: 다중 뷰

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A Design and Implementation of the VoiceXML Multiple-View Editor Using MVC Framework (MVC 프레임 워크를 사용한 VoiceXML 다중 뷰 편집기의 설계 및 구현)

  • 유재우;염세훈
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.5
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    • pp.390-399
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    • 2004
  • In this paper, we design and implement a multiple-view VoiceXML editor to improve editing efficiency of the VoiceXML. The VoiceXML multiple-view Editor uses a MVC framework to support multiple views and paradigm. Our multiple-view editor consists of Model. View and Controller using MVC framework. A model, core data structure. is constructed of abstract syntax tree and abstract grammar. A view. user interface. is formalized in unparsing rules and unparser. A controller. to control model and view. is made of command interpreter and tree handler. The VoiceXML multiple-view editor overcomes a drawbacks of existing XML editors by showing document structure and context concurrently. as well as document flows. Our VoiceXML multiple-view editor. which MVC framework has been applied, provides various editing views concurrently to users. Thereby. it supports efficient and convenient editing environments for voice-web documents to users and it guarantees transparency of editors. as various views have a same consistent model.

Real-time object tracking in Multi-Camera environments (다중 카메라 환경에서의 실시간 객체 추적)

  • 조상현;강행봉
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.691-693
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    • 2004
  • 비디오 시퀀스에서의 객체 추적은 보안 및 감시 시스템(Security and surveillance system), 비디오 원격 회의(Video teleconferencing)등과 같이 컴퓨터 비전 응용 분야에 널리 이용되어, 정정 그 중요성이 증가하고 있다 여러 가지 이유로 인친 카메라 덜(View)로부터 객체의 가시 상태가 변하는 경우, 하나의 뷰만을 이용해서는 좋은 결과를 가지기 어렵기 때문에 본 논문에서는 객체가 가장 잘 나타나는 뷰를 선택해서 객체를 추적하는 방법을 제안한다. 각각의 카메라 뷰에서 객체를 추적하기 위해 본 논문에서는 다중 후보가 결합된 Mean-shift 알고리즘을 이용한다. 제안된 시스템의 경우, 복잡한 환경으로 인해 객체의 가시 상태가 변하는 환경에서 단일 뷰를 이용하는 경우와 비교해 더 나은 성능을 가질 수 있었다.

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Multiview Stereo Matching on Mobile Devices Using Parallel Processing on Embedded GPU (임베디드 GPU에서의 병렬처리를 이용한 모바일 기기에서의 다중뷰 스테레오 정합)

  • Jeon, Yun Bae;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.24 no.6
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    • pp.1064-1071
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    • 2019
  • Multiview stereo matching algorithm is used to reconstruct 3D shape from a set of 2D images. Conventional multiview stereo algorithms have been implemented on high-performance hardware due to the heavy complexity that contains a large number of calculations in each step. However, as the performance of mobile graphics processors has recently increased rapidly, complex computer vision algorithms can now be implemented on mobile devices like a smartphone and an embedded board. In this paper we parallelize an multiview stereo algorithm using OpenCL on mobile GPU and provide various optimization techniques on the embedded hardware with limited resource.

A Best View Selection Method in Videos of Interested Player Captured by Multiple Cameras (다중 카메라로 관심선수를 촬영한 동영상에서 베스트 뷰 추출방법)

  • Hong, Hotak;Um, Gimun;Nang, Jongho
    • Journal of KIISE
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    • v.44 no.12
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    • pp.1319-1332
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    • 2017
  • In recent years, the number of video cameras that are used to record and broadcast live sporting events has increased, and selecting the shots with the best view from multiple cameras has been an actively researched topic. Existing approaches have assumed that the background in video is fixed. However, this paper proposes a best view selection method for cases in which the background is not fixed. In our study, an athlete of interest was recorded in video during motion with multiple cameras. Then, each frame from all cameras is analyzed for establishing rules to select the best view. The frames were selected using our system and are compared with what human viewers have indicated as being the most desirable. For the evaluation, we asked each of 20 non-specialists to pick the best and worst views. The set of the best views that were selected the most coincided with 54.5% of the frame selection using our proposed method. On the other hand, the set of views most selected as worst through human selection coincided with 9% of best view shots selected using our method, demonstrating the efficacy of our proposed method.

Acceleration of Viewport Extraction for Multi-Object Tracking Results in 360-degree Video (360도 영상에서 다중 객체 추적 결과에 대한 뷰포트 추출 가속화)

  • Heesu Park;Seok Ho Baek;Seokwon Lee;Myeong-jin Lee
    • Journal of Advanced Navigation Technology
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    • v.27 no.3
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    • pp.306-313
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    • 2023
  • Realistic and graphics-based virtual reality content is based on 360-degree videos, and viewport extraction through the viewer's intention or automatic recommendation function is essential. This paper designs a viewport extraction system based on multiple object tracking in 360-degree videos and proposes a parallel computing structure necessary for multiple viewport extraction. The viewport extraction process in 360-degree videos is parallelized by composing pixel-wise threads, through 3D spherical surface coordinate transformation from ERP coordinates and 2D coordinate transformation of 3D spherical surface coordinates within the viewport. The proposed structure evaluated the computation time for up to 30 viewport extraction processes in aerial 360-degree video sequences and confirmed up to 5240 times acceleration compared to the CPU-based computation time proportional to the number of viewports. When using high-speed I/O or memory buffers that can reduce ERP frame I/O time, viewport extraction time can be further accelerated by 7.82 times. The proposed parallelized viewport extraction structure can be applied to simultaneous multi-access services for 360-degree videos or virtual reality contents and video summarization services for individual users.

Adaptive Spectral Clustering for Multiview Data (다중 뷰 데이터에 대한 적응형 분광 군집화)

  • Son, Jeong-Woo;Jeon, Junekey;Kim, Sun-Joong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1337-1340
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    • 2015
  • 분광 군집화 기술은 Non-convex 군집에 대해 타 군집화 기술에 비해 강건하여 다양한 분야에서 활용되고 있다. 본 논문에서는 다중 뷰 데이터의 특성을 반영한 새로운 분광 군집화 기술을 제안한다. 제안한 방법은 협업학습의 접근 방법을 적용하되, 다수의 뷰가 서로 간에 가지는 독립성의 정도를 반영하여 유사도 그래프를 구축하고, 구축된 그래프를 기반으로 분광 군집화를 수행한다. 이를 통해 뷰들간 서로 다른 정보 요구를 그래프에 반영함으로써 군집화 성능을 높인다. 세 개의 뷰를 가정한 가상의 데이터에서 제안한 방법은 기존 방법에 비해 최대 8.25%, 높은 성능을 보였다.

An Interactive Multi-View Visual Programming Environment for C++ (C++를 위한 대화식 다중 뷰 시각 프로그래밍 환경)

  • Ryu, Cheon-Yeol;Jeong, Geun-Ho;Yu, Jae-U;Song, Hu-Bong
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.5
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    • pp.746-756
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    • 1995
  • This paper describes the intractive visual programming environment using multi-view which shows the tools of visualization for called and the visualizations for called member-function flow in C++ language. This research defines new visual symbols for class and constructs interactive visual programming environment of various views by using visual symbols. Our proposed interactive multi-view visual programming environment can represent visualization for representation of class and execution relationships between objects in the object-oriented language, which is easy to understand the structure of object-oriented program, therefore our proposed interactive visual programming environment enables easy program development, and can use of education and trainning for beginner in useful.

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MRIS : Multi-view Reuse Integrated System (다중 뷰 통합 재사용 시스템)

  • 김성원;황하진;김행곤
    • Proceedings of the Korea Association of Information Systems Conference
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    • 1997.10a
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    • pp.437-443
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    • 1997
  • 객체를 기반으로 하는 소프트웨어 부품의 재사용은 개별 부품의 효율적 관리와 이 것의 적절한 조합을 통해 소프트웨어 생산성을 극대화한다. 이를 위해서는 클래스 라이브러 리 화에 의한 명확한 식별과 분류, 정제, 저장으로 사용자 요구에 맞는 부품을 쉽게 검색할 수 있으며 새로운 부품의 수정과 합성이 가능한 재사용 시스템이 요구된다. 따라서 본 논문 에서는 객체지향을 기반의 소프트웨어 개발에 있어 브라우징 기법을 적용하여 사용자 요구 에 맞도록 재사용 부품들을 분류, 저장, 검색하여 재상용 할뿐더러 검색된 클래스가 사용자 의 요구에 맞도록 수정-합성 과정을 통해 재사용 가능하게 하는 다중 뷰 재사용 통합 시스 템인 MRIS (Multi-View Reuse Integrated System)를 구현하였다.

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Structural similarity based efficient keyframes extraction from multi-view videos (구조적인 유사성에 기반한 다중 뷰 비디오의 효율적인 키프레임 추출)

  • Hussain, Tanveer;Khan, Salman;Muhammad, Khan;Lee, Mi Young;Baik, Sung Wook
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.6
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    • pp.7-14
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    • 2018
  • Salient information extraction from multi-view videos is a very challenging area because of inter-view, intra-view correlations, and computational complexity. There are several techniques developed for keyframes extraction from multi-view videos with very high computational complexities. In this paper, we present a keyframes extraction approach from multi-view videos using entropy and complexity information present inside frame. In first step, we extract representative shots of the whole video from each view based on structural similarity index measurement (SSIM) difference value between frames. In second step, entropy and complexity scores for all frames of shots in different views are computed. Finally, the frames with highest entropy and complexity scores are considered as keyframes. The proposed system is subjectively evaluated on available office benchmark dataset and the results are convenient in terms of accuracy and time complexity.

A View Maintenance Algorithm Considering Network Delay in Data Warehouse Systems based on Materialized Views (실체 뷰를 기반으로 하는 데이터 웨어하우스 시스템에서 통신지연을 고려한 뷰 유지 알고리즘)

  • Han, Geun-Su;Sin, Dong-Cheon
    • Journal of KIISE:Software and Applications
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    • v.26 no.6
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    • pp.780-790
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    • 1999
  • 데이터 웨어하우스는 의사결정을 위하여 여러 소스로부터 데이터를 계속 축적하는 저장고로 볼 수 있다. 따라서, 데이터웨어하우스와 지역소스사이의 일관성 유지문제는 데이터 웨어하우스 환경에서 가장 중요한 문제중의 하나로 인식되어 오고 있다. 본 논문에서는 실체 뷰를 기반으로 하는 데이터 웨어하우스 시스템에서 통신지연을 고려한 일관성 유지 알고리즘을 제안한다. 기존의 연구와 달리 제안한 알고리즘은 다중 갱신을 허용하면서도 완전 일관성을 수준을 보장한다.