• Title/Summary/Keyword: 캡처 효과

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Mobile Web Capture notes system Research on learning maturity (모바일 웹 캡처 메모 시스템의 학습 완성도에 대한 연구)

  • Lee, Yean-Ran;Lim, Young-Hwan
    • Cartoon and Animation Studies
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    • s.32
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    • pp.363-381
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    • 2013
  • In this paper, on the web, offline mobile learning content to reinforce the learning of the video frame-by-frame necessary for re-learning area to capture only the important areas. The frame of the captured image and the image in the form of advanced training time saved and also a description of the notes feature to store. The area needed for the capture area re-learning the learner to learner-centered custom systems can be applied. In order to capture the learning program, regardless of the configuration of the selected frame by frame in order to capture the user-centric storytelling-based learning can be applied. Capture the full effect of the system compared to learning and learner-centered learning time-saving reconstruction of the frame according to the customized learning to play a positive role in improving effectiveness.

The Multi-marker Tracking for Facial Optical Motion Capture System (Facial Optical Motion Capture System을 위한 다중 마커의 추적)

  • 이문희;김경석
    • Proceedings of the Korea Multimedia Society Conference
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    • 2000.04a
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    • pp.474-477
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    • 2000
  • 최근 3D 애니메이션 , 영화 특수효과 그리고 게임제작시 모션 캡처 시스템(Motion Capture System)을 통하여 실제 인간의 동작 및 표정을 수치적으로 측정해내어 이를 실제 애니메이션에 직접 사용함으로써 막대한 작업시간 및 인력 드리고 자본을 획기적으로 줄이고 있다. 그러나 기존의 모션 캡처 시스템은 고속 카메라를 이용함으로써 가격이 고가이고 움직임 추적에서도 여러 가지 문제점을 가지고 있다. 본 논문에서는 일반 저가의 카메라와 신경회로망 및 영상처리를 이용하여 얼굴 애니메이션용 모션 캡처 시스템에 적용할 수 있는 경제적이고 효율적인 얼굴 움직임 추적 기법을 제안한다.

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Storing and Retrieving Motion Capture Data based on Motion Capture Markup Language and Fuzzy Search (MCML 기반 모션캡처 데이터 저장 및 퍼지 기반 모션 검색 기법)

  • Lee, Sung-Joo;Chung, Hyun-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.270-275
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    • 2007
  • Motion capture technology is widely used for manufacturing animation since it produces high quality character motion similar to the actual motion of the human body. However, motion capture has a significant weakness due to the lack of an industry wide standard for archiving and retrieving motion capture data. In this paper, we propose a framework to integrate, store and retrieve heterogeneous motion capture data files effectively. We define a standard format for integrating different motion capture file formats. Our standard format is called MCML (Motion Capture Markup Language). It is a markup language based on XML (eXtensible Markup Language). The purpose of MCML is not only to facilitate the conversion or integration of different formats, but also to allow for greater reusability of motion capture data, through the construction of a motion database storing the MCML documents. We propose a fuzzy string searching method to retrieve certain MCML documents including strings approximately matched with keywords. The method can be used to retrieve desired series of frames included in MCML documents not entire MCML documents.

Maximizing the capacity of the IoT-based WSNs by employing the MIM capability (MIM 적용을 통한 IoT 기반 무선 센서 네트워크 성능 최대화 방안)

  • Kang, Young-myoung
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.9-15
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    • 2020
  • Wireless sensor nodes adopting the advanced preamble detection function, Message-In-Mesage (MIM), maximize the concurrent transmission opportunities due to the capture effect, result in improving the system performance significantly compared to the legacy IEEE 802.15.4 based sensor devices. In this paper, we propose an MIM capture probability model to analyze the performance gains by applying the MIM function to the wireless sensor nodes. We implemented the IEEE 802.15.4 and MIM by Python and performed extensive simulations to verify the performance gains through MIM capture effects. The evaluation results show that the MIM sensors achieve 34% system throughput gains and 31% transmission delay gains over the legacy IEEE 802.15.4-based sensors, which confirm that it was consistent with the analysis result of the proposed MIM capture probability model.

The Multi-marker Tracking for Facial Animation (Facial Animation을 위한 다중 마커의 추적)

  • 이문희;김철기;김경석
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.06a
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    • pp.553-557
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    • 2001
  • 얼굴 표정을 애니메이션하는 것은 얼굴 구조의 복잡성과 얼굴 표면의 섬세한 움직임으로 인해 컴퓨터 애니메이션 분야에서 가장 어려운 분야로 인식되고 있다. 최근 3D 애니메이션, 영화 특수효과 그리고 게임 제작시 모션 캡처 시스템(Motion Capture System)을 통하여 실제 인간의 동작 및 얼굴 표정을 수치적으로 측정해내어 이를 실제 애니메이션에 직접 사용함으로써 막대한 작업시간 및 인력 그리고 자본을 획기적으로 줄이고 있다. 그러나 기존의 모션 캡처 시스템은 고속 카메라를 이용함으로써 가격이 고가이고 움직임 추적에서도 여러 가지 문제점을 가지고 있다. 본 논문에서는 일반 저가의 카메라와 신경회로망 및 영상처리기법을 이용하여 얼굴 애니메이션용 모션 캡처 시스템에 적응할 수 있는 경제적이고 효율적인 얼굴 움직임 추적기법을 제안한다.

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A Study on the Fabrication of Facial Blend Shape of 3D Character - Focusing on the Facial Capture of the Unreal Engine (3D 캐릭터의 얼굴 블렌드쉐입(blendshape)의 제작연구 -언리얼 엔진의 페이셜 캡처를 중심으로)

  • Lou, Yi-Si;Choi, Dong-Hyuk
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.73-80
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    • 2022
  • Facial expression is an important means of representing characteristics in movies and animations, and facial capture technology can support the production of facial animation for 3D characters more quickly and effectively. Blendshape techniques are the most widely used methods for producing high-quality 3D face animations, but traditional blendshape often takes a long time to produce. Therefore, the purpose of this study is to achieve results that are not far behind the effectiveness of traditional production to reduce the production period of blend shape. In this paper, in order to make a blend shape, the method of using the cross-model to convey the blend shape is compared with the traditional method of making the blend shape, and the validity of the new method is verified. This study used kit boy developed by Unreal Engine as an experiment target conducted a facial capture test using two blend shape production techniques, and compared and analyzed the facial effects linked to blend shape.

Design of Traffic Metering System using Embedded Linux (임베디드 리눅스를 이용한 트래픽 미터링 시스템 설계)

  • Lee, Heung-Jae;Jeon, Hee-Jin;Choe, Jin-Kyu;Lee, Kyou-Ho
    • Journal of IKEEE
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    • v.9 no.2 s.17
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    • pp.79-86
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    • 2005
  • Increasing network traffic and multimedia application services need realtime analysis of network traffic for improvement of QoS and effective management of network resource. Because difficulty of measurement based on software method, study of meter architecture for efficient capture function is necessary. Therefore we design and implement hardware metering system for efficient packet capture using embedded linux. And we analyze required bandwidth of system bus and memory for 10Gbps traffic through simulation.

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An RFID Tag Identification Protocol with Capture Effects (캡쳐 효과를 고려한 RFID 태그 인식 프로토콜)

  • Park, Young-Jae;Kim, Young-Beom
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.1
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    • pp.19-25
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    • 2012
  • In evaluating the performance of RFID systems, the tag anti-collision arbitration has been considered to be an important issue. For BT(Binary Tree) and ABS( Adaptive Binary Splitting) protocols, the so-called capture effect, which presumably happens frequently in the process of readers' receiving messages from multiple tags, can lead to some failures in detecting all tags in BT and ABS. In this paper, we propose a new anti-collision protocol, namely FTB (Feedback TagID with Binary splitting), which can solve the aforementioned problem and improve the performance.

Deep Learning-Based Human Motion Denoising (딥 러닝 기반 휴먼 모션 디노이징)

  • Kim, Seong Uk;Im, Hyeonseung;Kim, Jongmin
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1295-1301
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    • 2019
  • In this paper, we propose a novel method of denoising human motion using a bidirectional recurrent neural network (BRNN) with an attention mechanism. The corrupted motion captured from a single 3D depth sensor camera is automatically fixed in the well-established smooth motion manifold. Incorporating an attention mechanism into BRNN achieves better optimization results and higher accuracy than other deep learning frameworks because a higher weight value is selectively given to a more important input pose at a specific frame for encoding the input motion. Experimental results show that our approach effectively handles various types of motion and noise, and we believe that our method can sufficiently be used in motion capture applications as a post-processing step after capturing human motion.

Implementation of OCR System Based on Smart Phone (스마트폰 기반 OCR 시스템의 구현)

  • Heo, Jin-Kyu;Kim, Hyun-Gon;Jang, Min-Seok;Jang, Seok-Hwan;Kwon, Soon-Kak;Park, Yoo-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.500-503
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    • 2012
  • 스마트폰은 폭발적인 성장세와 더불어 어플리케이션의 시장규모가 크게 증대될 것으로 예상된다. 본 논문에서는 직접 사진을 캡처 시킨 문자들을 텍스트로 변환시켜주고 데이터베이스를 이용해서 그 문자들의 의미를 표현하는 어플리케이션을 구현한다. 어플리케이션의 기능으로는 텍스트로 변환하고자 하는 사진을 찍거나 혹은 앨범에 있는 사진을 불러내어 텍스트로 변환을 시켜서 상대방에게 메시지나 블루투스 등을 이용하여 전송을 가능하게 해줄 수 있으며, 글꼴을 바꾼다거나 크기 등 편집 기능까지 추가적으로 가능하도록 할 수 있다. 이 어플리케이션으로 인한 효과로 인터넷이나 거리를 돌아다니다가 원하는 문구가 있으면 바로 원하는 상대방에게 쉽고 간편하고 빠르게 전달할 수 있는 편리함 등이 있다.

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