• Title/Summary/Keyword: 모션 탐색

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A Video Sequence Coding Using Dynamic Selection of Unrestricted Motion Vector Mode in H.263 (H.263의 비제한 움직임 벡터 모드의 동적 선택을 이용한 영상 부호화)

  • 박성한;박성태
    • Journal of the Korea Computer Industry Society
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    • v.2 no.8
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    • pp.1075-1088
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    • 2001
  • In this paper, we propose a method for dynamic selection of unrestricted motion vector(UMV) or default prediction mode(DPM) in H.263 bit stream. For this, we use the error of compensated image and the magnitude of motion vector. In the proposed strategy, the UMV mode is dynamically applied in a frame according to average magnitude of motion vector and error of compensated image. This scheme has improved the quality of image compared to the fixed mode UMV or DPM only. Number of searching points are greatly reduced when comparing to UMV The proposed method is more profitable to long video sequences having camera movement locally.

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Acceleration Method of Inter Prediction using Advanced SIMD (Advanced SIMD를 이용한 화면 간 예측 고속화방법)

  • Kim, Wan-Su;Lee, Jae-Heung
    • Journal of IKEEE
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    • v.16 no.4
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    • pp.382-388
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    • 2012
  • An H.264/AVC fast motion estimation methodology is presented in this paper. Advanced SIMD based NEON which is one of the parallel processing methods is supported under the ARM Cortex-A9 dual-core platform. NEON is applied to a full search technique with one of the various motion estimation methods and SAD operation count of each macroblock is reduced to 1/4. Pixel values of the corresponding macroblock are assigned to eight 16-bit NEON registers and Intrinsic function in NEON architecture carried out 128 bits arithmetic operations at the same time. In this way, the exact motion vector with the minimum SAD value among the calculated SAD values can be designated. Experimental results show that performance gets improved 30% above average in accordance with the size of image and macroblock.

A Video Sequence Coding Using Dynamic Selection of Unrestricted Motion Vector Mode in H.263 (H.263의 비제한 움직임 벡터 모드의 동적 선택을 이용한 영상 부호화)

  • 박성한;박성태
    • Journal of the Korea Computer Industry Society
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    • v.2 no.7
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    • pp.997-1014
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    • 2001
  • In this paper, we propose a method for dynamic selection of unrestricted motion vector(UMV) or default prediction mode(DPM) in H.263 bit stream. For this, we use the error of compensated image and the magnitude of motion vector. In the proposed strategy, the UMV mode is dynamically applied in a frame according to average magnitude of motion vector and error of compensated image. This scheme has improved the quality of image compared to the fixed mode UMV or DPM only. Number of searching points are greatly reduced when comparing to UMV. The Proposed method is more profitable to long video sequences having camera movement locally.

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Fashion Brand Sales Forecasting Analysis Using ARDL Time Series Model -Focusing on Brand and Advertising Endorser's Web Search Volume, Information Amount, and Brand Promotion- (ARDL 시계열 모형을 활용한 패션 브랜드의 매출 예측 분석 -패션 브랜드와 광고모델의 웹 검색량, 정보량, 가격할인 프로모션을 중심으로-)

  • Seo, Jooyeon;Kim, Hyojung;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.868-889
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    • 2022
  • Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study conducted the autoregressive distributed lag (ARDL) time series model using the internal and external social big data of a national fashion brand. Results indicated that the brand's past sales, search volume, promotion, and amount of advertising endorser information amount significantly affected the sales forecast, whereas the brand's advertising endorser search volume and information amount did not significantly influence the sales forecast. Moreover, the brand's promotion had the highest correlation with sales forecasting. This study adds to information-searching behavior theory by measuring consumers' brand involvement. Last, this study provides digital marketers with implications for developing profitable marketing strategies on the basis of consumers' interest in the brand and advertising endorser.

Multi-View Image Deblurring for 3D Shape Reconstruction (3차원 형상 복원을 위한 다중시점 영상 디블러링)

  • Choi, Ho Yeol;Park, In Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.11
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    • pp.47-55
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    • 2012
  • In this paper, we propose a method to reconstruct accurate 3D shape object by using multi-view images which are disturbed by motion blur. In multi-view deblurring, more precise PSF estimation can be done by using the geometric relationship between multi-view images. The proposed method first estimates initial 2D PSFs from individual input images. Then 3D PSF candidates are projected on the input images one by one to find the best one which are mostly consistent with the initial 2D PSFs. 3D PSF consists with direction and density and it represents the 3D trajectory of object motion. 야to restore 3D shape by using multi-view images computes the similarity map and estimates the position of 3D point. The estimated 3D PSF is again projected to input images and they replaces the intial 2D PSFs which are finally used in image deblurring. Experimental result shows that the quality of image deblurring and 3D reconstruction improves significantly compared with the result when the input images are independently deblurred.

Object Contour Tracking Using an Improved Snake Algorithm (개선된 스네이크 알고리즘을 이용한 객체 윤곽 추적)

  • Kim, Jin-Yul;Jeong, Jae-Ki
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.6
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    • pp.105-114
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    • 2011
  • The snake algorithm is widely adopted to track objects by extracting the active contour of the object from background. However, it fails to track the target converging to the background if there exists background whose gradient is greater than that of the pixels on the contour. Also, the contour may shrink when the target moves fast and the snake algorithm misses the boundary of the object in its searching window. To alleviate these problems, we propose an improved algorithm that can track object contour more robustly. Firstly, we propose two external energy functions, the edge energy and the contrast energy. One is designed to give more weight to the gradient on the boundary and the other to reflect the contrast difference between the object and background. Secondly, by computing the motion vector of the contour from the difference of the two consecutive frames, we can move the snake pointers of the previous frame near the region where the object boundary is probable at the current frame. Computer experiments show that the proposed method is more robust to the complicated background than the previously known methods and can track the object with fast movement.

An Algorithm of the Minimal Time on the (sLa-Camera-pLb)path ((sLa-Camera-pLb)경로에서의 최소 시간 알고리즘)

  • Kim, Soon-Ho;Kim, Chi-Su
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.337-342
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    • 2015
  • SMT is an equipment that picks up electronic components and does precise placing onto PCBs. In order to do this, it stops in front of a camera installed in the middle to go over vision inspection. And after that it is move for placing. There are 16 different types of routes in this process. This paper presents the fastest algorithm to place (sLa-Camera-pLb) among all these routes. In order to do this, instead of stopping in front of camera the object should move on while going over the vision inspection. Among all possible tracks, this thesis will provide algorithm to find out the fastest tracks to do vision inspection and placing. And as a result, this thesis have demonstrated that this method can save about 16% of time compared to going over inspection while the object is standing still through simulation.

Exploratory Study on the technology brand marketing strategy (기술브랜드 마케팅 전략에 대한 탐색적 연구)

  • Lee, Mi-Sun;Yang, Dong-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.348-356
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    • 2016
  • The concept of license sales and its business model, which was introduced by Dolby 40 years ago, was implemented by Intel in the form of their promotional strategy "Intel Inside" and became the basis for Sharp's Plasmacluster. This strategy proved to be useful in securing stable profitability and competitiveness in the market, as it is designed to (i) license technology, which is an intangible asset, and (ii) combine various communication activities and management strategies to create a brand for the licensed technology. Although the concept and theory of "Technology Brand Marketing" are not fully understood, we know that they exist and are fully functional. Many corporations have branded their technology, though their intention may not be as clear as that of Dolby or Intel. This paper introduces the technology brands of advanced Japanese corporations in different sectors that have striven to earn credibility through "Technology Brand Marketing" and the possibilities this has opened up for them.

An Exploration on the Piezoelectric Energy Harvesting Clothes based on the Motion Analysis of the Extremities (인체의 사지 동작 분석에 기반한 압전 에너지 수확 의류의 탐색적 연구)

  • Park, Seon-Hyung;Cho, Hyun-Seung;Yang, Jin-Hee;Yun, Dae-Yeon;Yun, Kwang-Seok;Lee, Joo-Hyeon
    • Science of Emotion and Sensibility
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    • v.16 no.1
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    • pp.85-94
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    • 2013
  • Recently, researches of piezoelectric energy harvesting were tried and in this study, a piezoelectric energy harvesting clothes was developed. First, piezoelectric energy harvesting zone on the extremities were drawn by 3D motion capturing and as a result, the hip, the elbow, and the knee were determined. A new structure of piezoelectric harvester was developed for appling to clothes. Because it needed to be flexible and sensitive for human body, the 2 layer stacked structure was proposed. A prototype of seamless garment was designed for a harvesting clothes because it needed to be body-tight and not to restrict the movement. High peak-to-peak voltages were acquired from the energy harvesting clothes.

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A study of kinetic narrative educational contents based on English literature: A convergent approach (영문학 기반 키네틱 교육 콘텐츠의 교육적 유의미성과 현장 활용 방안 탐구)

  • Kim, Eun-Jung;Shin, Dong-il;Kim, Keum-Sun
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.43-53
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    • 2016
  • The purpose of this study is to examine the meaningfulness and the possibility of developing kinetic narrative educational contents based on English literature with convergent approaches. To accomplish the objective, this paper examines three areas of research such as kinetic education, English literature education, and total physical response-storytelling method. It introduces the following three stages of development procedure: 1) selecting and analyzing English literature, 2) designing a prototype including the story flow, the movement and the motion interaction design, and 3) constructing motion database using Laban movement analysis. Then, how to apply it to young learners is illustrated with 'the story of the three little pigs,' Finally, implication for the field of young learner English education and English literature is discussed.