• Title/Summary/Keyword: Highlight model

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A Novel Synthesis Method of Underwater Target Reflected Signal (수중 표적 반사신호의 새로운 합성방법)

  • 김부일;김우현;박철우;박명호;권우현
    • Journal of the Korea Institute of Military Science and Technology
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    • v.2 no.2
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    • pp.30-39
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    • 1999
  • In this paper, we have proposed a novel method which can compose a reflected signal of the underwater target. The synthesis of the reflected signal in the target, the synthesized signal being similar to the characteristics of the reflected signal in the real target, is used the highlight model at the specific points of the target. We suggest the synthesis method of the reflected signal of the target using the pulsewidth variation and each other doppler effect at the highlight point, and compare the composed signal by the proposed method with that by conventional one. Simulation results show that the composed signal using the proposed method and the reflected signal of the real target is similar to the spectral characteristics.

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Characteristics of Acoustic Impulse Response of Submerged Cylindrical Objects as Elements of Target-Scattered Echo (표적신호 시뮬레이션 요소로서 원통형 몰수체의 충격응답의 특성)

  • Kim, Jae-Soo;Seong, Nak-Jin;Lee, Sang-Young;Kim, Kang;Yu, Myong-Jong;Cho, Woon-Hyun
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.2E
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    • pp.5-13
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    • 1994
  • Simulation of the target-scattered echo requires the understanding of scattering mechanism at the highlight points. In this paper, the basic assumption of Highlight Model is reviewed through the analyzed data obtained in the acoustic water tank experiment. The analysis shows that the scattering mechanism involves pulse elongation and frequency shift as elements of target-scattered echo, and that the internal structures affect the temporal response of the target-scattered echo significantly. The band-limited impulse response or Green's function due to the diffraction from highlight points of internal structures is not mere delta function, but acts like a filter, which causes frequency shift and is elongated in time.

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Illumination Compensation Based on Conformity Assessment of Highlight Regions (고휘도 영역의 적합성 평가에 기반한 광원 보상)

  • Kwon, Oh-Seol
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.75-82
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    • 2014
  • This paper proposes an illuminant compensation method using a camera noise analysis without segmentation in the dichromatic reflectance model. In general, pixels within highlight regions include large amounts of information on the image illuminant. Thus, the analysis of highlight regions provides a relatively easy means of determining the characteristics of an image illuminant. Currently, conventional methods require regional segmentation and the accuracy of this segmentation then affects the illuminant estimation. Therefore, the proposed method estimates the illuminant without segmentation based on a conformity assessment of highlight regions. Furthermore, error factors, such as noise and sensor non-uniformity, can be reduced by the conformity assessment.

Video Highlight Prediction Using GAN and Multiple Time-Interval Information of Audio and Image (오디오와 이미지의 다중 시구간 정보와 GAN을 이용한 영상의 하이라이트 예측 알고리즘)

  • Lee, Hansol;Lee, Gyemin
    • Journal of Broadcast Engineering
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    • v.25 no.2
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    • pp.143-150
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    • 2020
  • Huge amounts of contents are being uploaded every day on various streaming platforms. Among those videos, game and sports videos account for a great portion. The broadcasting companies sometimes create and provide highlight videos. However, these tasks are time-consuming and costly. In this paper, we propose models that automatically predict highlights in games and sports matches. While most previous approaches use visual information exclusively, our models use both audio and visual information, and present a way to understand short term and long term flows of videos. We also describe models that combine GAN to find better highlight features. The proposed models are evaluated on e-sports and baseball videos.

Synthesis and Classification of Active Sonar Target Signal Using Highlight Model (하이라이트 모델을 이용한 능동소나 표적신호의 합성 및 인식)

  • Kim, Tae-Hwan;Park, Jeong-Hyun;Nam, Jong-Geun;Lee, Su-Hyung;Bae, Keun-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.2
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    • pp.135-140
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    • 2009
  • In this paper, we synthesized active sonar target signals based on highlights model, and then carried out target classification using the synthesized signals. If the target aspect angle is changed, the different signals are synthesized. To know the result, two different experiments are done. First, The classification results with respect to each aspect angle are shown. Second, the results in two group in aspect angle are acquired. Time domain feature extraction is done using matched filter and envelope detection. It shows the pattern of each highlights. Artificial neural networks and multi-class SVM are used for classifying target signals.

Multi-aspect Based Active Sonar Target Classification (다중 자세각 기반의 능동소나 표적 식별)

  • Seok, Jongwon
    • Journal of Korea Multimedia Society
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    • v.19 no.10
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    • pp.1775-1781
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    • 2016
  • Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. In addition, various signal processing techniques have been studied to extract feature vectors which are less sensitive to the location of the receiver. In this paper, we synthesized active echo signals using 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to echo signals to extract signal features. For the performance verification, classification experiments were performed using backpropagation and probabilistic neural network classifiers based on single aspect and multi-aspect method. As a result, we obtained a better recognition result using proposed feature extraction and multi-aspect based method.

Updated Reviews and Trends in Consumer Neuroscience

  • Jin Ho Yun
    • Asia Marketing Journal
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    • v.25 no.3
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    • pp.111-125
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    • 2023
  • Consumer neuroscience methods have become prevalent in marketing research. Despite their proven significance, very little marketing research has addressed their applications in Asia. Thus, this review aims to introduce practical integrations with consumer neuroscience and marketing research and how they can be carefully applied to these fields, with some identified caveats. Specifically, I review the recent literature from top marketing and science journals to (1) highlight substantial applications of updated neuroscientific methods to marketing research and neuroforecasting approaches, (2) discuss the additional potential of computational models in these applications, and (3) offer a simple framework that adopts a multi-method approach intended to enhance both the external and ecological validity of neuroscientific findings. Along with the need for embracing scientific rigor and marketing theory, more guidelines are also needed to improve the validity issues of neuroimaging uses and highlight practical directions in the nascent field of consumer neuroscience.

Active Sonar Target Recognition Using Fractional Fourier Transform (Fractional Fourier 변환을 이용한 능동소나 표적 인식)

  • Seok, Jongwon;Kim, Taehwan;Bae, Geon-Seong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2505-2511
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    • 2013
  • Many studies in detection and classification of the targets in the underwater environments have been conducted for military purposes, as well as for non-military purpose. Due to the complicated characteristics of underwater acoustic signal reflecting multipath environments and spatio-temporal varying characteristics, active sonar target classification technique has been considered as a difficult technique. And it has difficulties in collecting actual underwater data. In this paper, we synthesized active target echoes based on ray tracing algorithm using target model having 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to synthesized target echoes to extract feature vector. Recognition experiment was performed using neural network classifier.

An Illumination Model for Stained Glass Rendering (스테인드글라스 렌더링을 위한 조명 모델)

  • Kim, Jung-A;Ming, Shi-Hua;Kim, Dong-Ho
    • Journal of the Korea Computer Graphics Society
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    • v.13 no.1
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    • pp.7-14
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    • 2007
  • In this paper we present an illumination model for rendering realistic stained glass. This techniques simulates the phenomenon of stained glass in real world by applying important optical component of the stained glass to the rendering algorithm. The optics for stained glass involves three basic physical mechanisms. First, diffuse light and highlight contribute to the brightness of stained glass which is typically white and changes along with the light source and the view position. Next, Fresnel refraction dominates the amount of refracted (transmitted) light. Finally, we express volume absorption occurs in all stained glass. Then, the rendered stained glass images achieve excellent realism.

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Orbital Elements Evolution Due to a Perturbing Body in an Inclined Elliptical Orbit

  • Rahoma, W.A
    • Journal of Astronomy and Space Sciences
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    • v.31 no.3
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    • pp.199-204
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    • 2014
  • This paper intends to highlight the effect of the third-body in an inclined orbit on a spacecraft orbiting the primary mass. To achieve this goal, a new origin of coordinate is introduced in the primary and the X-axis toward the node of the spacecraft. The disturbing function is expanded up to the second order using Legendre polynomials. A double-averaged analytical model is exploited to produce the evolutions of mean orbital elements as smooth curves.