• Title/Summary/Keyword: subjective contour

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Measurement and analysis of body pressure distribution on a bed

  • 박세진;황민철;김창범
    • Proceedings of the ESK Conference
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    • 1995.04a
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    • pp.55-61
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    • 1995
  • We spend about 40% of lifte time on a bed and seek how such amount of time is spent comfort. Bed comfort has been pursuited. The pressure distributions on a bed by body pressure has been considered as one of the most important factors of bed comfort. This study is to quantify the subjective assessment by the body pressure distribution and develop the objective evaluation method of bed comfort. A new measurement system for body pressure on a bed was developed in this study. The thin film pressure sensor (FSR: Force Sensing Resistor) of an elastomer-type was used to prevent the distortion of contact pressure. The pressure distribution is measured by FSR and displayed on the monitor by color-coded contour patterns. Some of the bed test results were described. And the relations between body pressure distribution and bed comfort were evaluated.

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An Experimental Study on the Impact of the Visual Perception by the Change of the Lighting Sources Color (광원색에 의한 실내공간의 지각변화에 관한 실험연구)

  • 이성민
    • Korean Institute of Interior Design Journal
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    • no.4
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    • pp.27-30
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    • 1995
  • This study suggests the optimum interior environment by projecting the criteria to design the living space light-ing that select the lighting environment among the sever-al environmental factors that influenced on the human perception. As a correspondance between the visual perception and the lighting, visual perception process, vision system, and visual perception system are investigated to compre-hend the lighting, and then conceptual contour of the lighting environments are presented which are transmit-ted the visual informations. As a lighting factors which are influenced on the visu-al perception, light source color is analized. Foundationally, the effect of the lighting methods and the techniques are investigated, and the changes of the lighting methods which influences on the space perception are examined through the previous results. As the changing the light sources color, the changing the subjective feelings of space perception through the ex-periment. This study is concluded with the proposition of the ef-fective lighting and the importance of the lighting envi-ronment.

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Determination of the Frequency Weighting Curves for the Estimation of Discomfort by the Steering Wheel Vibration (조향휠 진동의 안락성 평가를 위한 주파수 가중치 곡선 결정)

  • 홍석인;장한기;김승한
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.11a
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    • pp.1048-1052
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    • 2003
  • This study aims to derive frequency weighting curves for the estimation of driver's discomfort by steering wheel vibration in the vertical and rotational direction with respect to a steering column. Subjective tests for the determination of equal sensation curves, inverse of frequency weighting curves, for the two kinds of vibrations were performed using the sinusoidal signals with reference amplitudes from 0.2m/s$^2$ to 0.4 m/s$^2$ in the frequency range from 5㎐ to 100㎐. Twelve subjects joined at the tests, and median values of the twelve judgments were used to determine the frequency weighting curves. Second experiment was followed to determine relative magnitude between the two frequency weighting curves by direct comparison of discomfort due to the two kinds of vibrations at 50㎐, which showed discomfort by the rotational vibration was 1.5 times of that by the vertical vibration.

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A Study on Audio/Voice Color Processing Technique (오디오/음성 컬러 처리 기술 연구)

  • Kim Kwangki;Kim Sang-Jin;Son BeakKwon;Hahn Minsoo
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.153-156
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    • 2003
  • In this paper, we studied advanced audio/ voice information processing techniques, and trying to introduce more human friendly audio/voice. It is just in the beginning stage. Firstly, we approached in well-known time-domain methods such as moving average, differentiation, interpolation, and decimation. Moreover, some variation of them and envelope contour modification are utilized. We also suggested the MOS test to evaluate subjective listening factors. In the long term viewpoint, user's preference, mood, and environmental conditions will be considered and according to them, we hope our future technique can adapt speech and audio signals automatically.

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Baseline based Binary Shape Coder (기준선 기반 이진 형상 부호화기)

  • 이시화;조대성;조유신;손세훈;장의선;신재섭;서양석
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.114-124
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    • 1997
  • In object based coding, binary shape ccx:ling plays an important role by ccx:ling the outer shape of object. Here we propose a new shape ccx:ling tool, which enccx:les the outline of shape from a baseline. Different from 2-D (Vertex) shape ccx:ling algorithms. the proposed method encodeds the data that are extracted in a I-D fashion. The enccx:led data consist of the starting position, distance lists, and turning point lists. In the lossless ccx:ling mode, every contour pixel is input for ccx:ling, whereas variable sampling has been employed to enccx:le fewer contour pixels while preserving reasonable distortion. For interframe ccx:ling, a fast motion compensation was achieved by use of distance and turning point lists. Subjective viewing tests proved that the proposed method outperforms the current shape ccx:ling standard, CAE, in MPEG-4. In objective results for compression efficiency, the proposed method was significantly better in intraframe coding than CAE, whereas CAE was better in interframe ccx:ling.

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Voice personality transformation using an orthogonal vector space conversion (직교 벡터 공간 변환을 이용한 음성 개성 변환)

  • Lee, Ki-Seung;Park, Kun-Jong;Youn, Dae-Hee
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.96-107
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    • 1996
  • A voice personality transformation algorithm using orthogonal vector space conversion is proposed in this paper. Voice personality transformation is the process of changing one person's acoustic features (source) to those of another person (target). In this paper, personality transformation is achieved by changing the LPC cepstrum coefficients, excitation spectrum and pitch contour. An orthogonal vector space conversion technique is proposed to transform the LPC cepstrum coefficients. The LPC cepstrum transformation is implemented by principle component decomposition by applying the Karhunen-Loeve transformation and minimum mean-square error coordinate transformation(MSECT). Additionally, we propose a pitch contour modification method to transform the prosodic characteristics of any speaker. To do this, reference pitch patterns for source and target speaker are firstly built up, and speaker's one. The experimental results show the effectiveness of the proposed algorithm in both subjective and objective evaluations.

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A new transform coding for contours in object-based image compression (객체지향 영상압축에 있어서 윤곽선에 대한 새로운 변환 부호화)

  • 민병석;정제창;최병욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.4
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    • pp.1087-1099
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    • 1998
  • In the content-based image coding, where each object in the scene is encoded independently, the shape, texture and motion information are very important factors. Though the contours representing the shape of an object occupy a great amount of data in proportion to the whole information, they strongly affect the subjective image quaility. Therefore, the distortion of contour coding has to be minimized as much as possible. In this paper, we propose a new method for the contour coding in which the contours are approximated to polygon and the eorror signal occurring from polygonal approximation are transformed with new basis functions. Considering the facts that confour segments occurring from polygonal approximation are smooth curves and error signals have two zero-ending points, we design new basis functions based on the Legendre polynomial and then transform the error signals with them. When applied to synthetic images such as circles, ellipses and etc., the proposed method provides, in overall, outstanding results in respect to the transform coding gain compared with DCT and DST. And in the case when applied to natural images, the proposed method gives better image quality over DCT and comparable results with DST.

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Hierarchical Image Segmentation Based on HVS Characteristic for Region-Based Very Low Bit Rate Coding (영역기반 초저속 부호화를 위한 인간 시각 체계에 기반한 계층적 영상 분할)

  • Song, Kun-Woen;Park, Young-Sik;Han, Kyu-Phil;Nam, Jae-Yeal;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.70-80
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    • 1999
  • In this paper, a new hierarchical image segmentation algorithm based on human visual system(HVS) characteristic is proposed which can efficiently reduce and control transmission information quantity without the degradation of the subjective and objective image quality. It consists of image segmentation based on mathematical morphology and region merging considering HVS characteristic for the pairs of two adjacent regions at each level of the hierarchy. Image segmentation is composed of 3-level hierarchical structure. In the region merging structure of each level, we extract the pairs of two adjacent regions which human vision can't discriminate, and then merge them. The proposed region merging method extracts pairs of two neighbor regions to be merged and performs region merging according to merging priority based on HVS characteristics. The merging priority for each adjacent pair is determined by the proposed merging priority function(MPF). First of all, the highest priority pair is merged. The information control factor is used to regulate the transmission information at each level. The proposed segmentation algorithm can efficiently improve bottleneck problem caused by excessive contour information at region-based very low bit rate coding. And it shows that it is more flexible structure than that of conventional method. In experimental results, though PSNR and the subjective image quality by the proposed algorithm is similar to that of conventional method, the contour information quantity to be transmitted is reduced considerably. Therefore it is an efficient image segmentation algorithm for region-based very low bit rate coding.

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A Study on the Evaluation of Sensation Magnitude of Vertical Vibration of a Steering Wheel (조향 휠 수직 진동의 체감량 평가에 관한 연구)

  • Jang, Han-Kee;Hong, Seok-In
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.6
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    • pp.108-113
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    • 2007
  • This study aims to find equivalent comfort contours, reciprocal of frequency weighting curves, for vertical steering wheel vibration. Psychophysical responses were measured from twelve male subjects by using magnitude estimation of relative discomfort due to vertical steering wheel vibrations of magnitude of 0.1 to 1.58 $m/s^2$ in the frequency range of 4 to 250 Hz. Relative discomfort were estimated with a reference vibration of 0.4 $m/s^2$ at 31.5 Hz. Equivalent comfort contours were produced from the median of sensation magnitudes judged by twelve subjects, which showed variation in the shapes with increase of vibration magnitude. A shape of the contour came close to the perception threshold curve with decrease of vibration magnitude. When the vibration magnitude increases, the shape changed close to those in the references of Hong and et al (2003). It is also recommended frequency weighting curves for vertical steering wheel vibration must be expressed as a function of vibration magnitude as well as frequency.

Automatic threshold selection for edge detection using a noise estimation scheme and its application (잡음추측을 이용한 자동적인 에지검출 문턱값 선택과 그 응용)

  • 김형수;오승준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.3
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    • pp.553-563
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    • 1996
  • Detecting edges is one of issues with essentialimprotance in the area of image analysis. An edge in an image is a boundary or contour at which a significant change occurs in image intensity. Edge detection has been studied in many addlications such as imagesegmentation, robot vision, and image compression. In this paper, we propose an automatic threshold selection scheme for edge detection and show its application to noise elimination. The scheme suggested here applied statistical properties of the noise estimated from a noisy image to threshold selection. Since a selected threshold value in the scheme depends on not the characgreistic of an orginal image but the statistical feature of added noise, we can remove ad-hoc manners used for selecting the threshold value as well as decide the value theoretically. Furthermore, that shceme can reduce the number of edge pixels either generated or lost by noise. an application of the scheme to noise elimination is shown here. Noise in the input image can be eliminated with considering the direction of each edge pixedl on the edge map obtained by applying the threshold selection scheme proposed in this paper. Achieving significantly improved results in terms of SNR as well as subjective quality, we can claim that the suggested method works well.

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