• 제목/요약/키워드: Image Representation

검색결과 790건 처리시간 0.029초

A study on the stage image of "rebound lute behind the back" in Dunhuang, China

  • Xueliang Zong;Ziwei Li;Qingfeng Zhang
    • International Journal of Advanced Culture Technology
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    • 제12권2호
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    • pp.16-29
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    • 2024
  • Mogao Grottoes in Dunhuang, China is one of the world cultural heritage, is the largest ancient grottoes art group in the world, and is a natural and cultural place with outstanding universal value for mankind all over the world. Dunhuang music and dance derived from the murals of Mogao Grottoes is an artistic representation of its thousand-year-old glorious history and an indispensable historical material for research. As one of the iconic images of Dunhuang music and dance, the "rebound lute behind the back" dance posture has unique charm value both in the original mural composition and the stage image. This paper analyzes the characters holding pipa in Dunhuang murals by case analysis, comparative research and other relevant research methods, then studies the stage image and posture of "rebound lute behind the back", and finally analyzes the stage works of "rebound lute behind the back". It is concluded that the dance image of "rebound lute behind the back" is a dynamic stage art work gradually formed by artists from the static Dunhuang murals through refining, developing, processing and transforming. This is to revive the image of Dunhuang music and dance murals, to provide reference and reference for the inheritance and development of Dunhuang culture, and then to enhance and enrich the artistic value of excellent traditional Chinese culture and world cultural heritage.

Design and Development of a Multimodal Biomedical Information Retrieval System

  • Demner-Fushman, Dina;Antani, Sameer;Simpson, Matthew;Thoma, George R.
    • Journal of Computing Science and Engineering
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    • 제6권2호
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    • pp.168-177
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    • 2012
  • The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients' cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.

연속 영상에서 학습 효과를 이용한 제스처 인식 (Gesture Recognition using Training-effect on image sequences)

  • 이현주;이칠우
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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    • pp.222-225
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    • 2000
  • Human frequently communicate non-linguistic information with gesture. So, we must develop efficient and fast gesture recognition algorithms for more natural human-computer interaction. However, it is difficult to recognize gesture automatically because human's body is three dimensional object with very complex structure. In this paper, we suggest a method which is able to detect key frames and frame changes, and to classify image sequence into some gesture groups. Gesture is classifiable according to moving part of body. First, we detect some frames that motion areas are changed abruptly and save those frames as key frames, and then use the frames to classify sequences. We symbolize each image of classified sequence using Principal Component Analysis(PCA) and clustering algorithm since it is better to use fewer components for representation of gestures. Symbols are used as the input symbols for the Hidden Markov Model(HMM) and recognized as a gesture with probability calculation.

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Feasibility Study of a Distributed and Parallel Environment for Implementing the Standard Version of AAM Model

  • Naoui, Moulkheir;Mahmoudi, Said;Belalem, Ghalem
    • Journal of Information Processing Systems
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    • 제12권1호
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    • pp.149-168
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    • 2016
  • The Active Appearance Model (AAM) is a class of deformable models, which, in the segmentation process, integrates the priori knowledge on the shape and the texture and deformation of the structures studied. This model in its sequential form is computationally intensive and operates on large data sets. This paper presents another framework to implement the standard version of the AAM model. We suggest a distributed and parallel approach justified by the characteristics of the model and their potentialities. We introduce a schema for the representation of the overall model and we study of operations that can be parallelized. This approach is intended to exploit the benefits build in the area of advanced image processing.

칼라 인접성과 기울기를 이용한 내용 기반 영상 검색 (Content-based Image Retrieval Using Color Adjacency and Gradient)

  • 김홍염;이호영;김희수;하영호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.157-160
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    • 2000
  • This paper proposes a color-based image retrieval method using color adjacency and gradient. In proposed method, both the adjacency of different colors and gradient of a color in homogeneous region are considered as features of an image. The gradient, defined as the maximum distance along the direction with largest change of color, is computed for each pixel to determine whether the center color is similar or different to the neighboring colors. Therefore the problems caused by uniform quantization, which is popularly used at most existing retrieval, can be avoided. And furthermore, the storage of the feature is reduced by the proposed binary representation.

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Iris recognition robust to noises

  • Kim, Jaemin;Jungwoo Won;Seongwon Cho
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.42-45
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    • 2003
  • This paper describes a new iris recognition method using shift-invariant subbands. First an iris image is preprocessed to compensate the variation of the iris image. Then, the preprocessed iris image is decomposed into multiple subbands using a shift invariant wavelet transform. The best subband among them, which have rich information for various iris pattern and robust to noises, is selected for iris recognition. The quantized pixels of the best subband yield the feature representation. Experimentally, we show that the proposed method produced superb performance in iris recognition.

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브랜드이미지와 재료의 표현성 연구 - 루이뷔통 매장에서 나타나는 재료의 표현성 중심으로 - (A Study on representation between Brand Image and Architectural Material)

  • 최용수
    • 한국실내디자인학회논문집
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    • 제14권6호
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    • pp.228-235
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    • 2005
  • This study analyzes the new possibility of design through the research for the expression of cladding design architectural materials, and applies to connection with creative design concept. In these modern days, architectural materials became the subject of expression as itself thanks to the development of new technology and materials. The physical properties of materials and their beauty value made possible the variety and possibility of expression in space design. The expressional properties of materials can lead mutual communication between commodity and brand by association, presenting brand image and the distinction of its value. Therefore, the trends of designed material expression in space design according to modern aspect can offer the possibility of material space design for ahead. This study suggest an alternative idea for revitalizing design by materials.

시간 영역에서 획득된 초음파 영상의 심내강 영역에 대한 3차원 표현 (3-D Representation of Cavity Region from Ultrasonic Image Acquired in the Time Domain)

  • 원철호;채승표;구성모;김명남;조진호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 춘계학술대회
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    • pp.119-122
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    • 1997
  • In this paper, we represented the variation of heart cavity area in the space domain by 3-d rendering. We arranged the 2-d sequence of ultrasonic image acquired in the time domain as volumetric data, and extracted heart cavity region from 3-d data. For the segmentation of 3-d volume data, we extracted the cavity region using the method of expanding the cavity region that is same statistical property. By shading which is using light and object normal vector, we visualized the volume data on image plane.

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Enhanced SIFT Descriptor Based on Modified Discrete Gaussian-Hermite Moment

  • Kang, Tae-Koo;Zhang, Huazhen;Kim, Dong W.;Park, Gwi-Tae
    • ETRI Journal
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    • 제34권4호
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    • pp.572-582
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    • 2012
  • The discrete Gaussian-Hermite moment (DGHM) is a global feature representation method that can be applied to square images. We propose a modified DGHM (MDGHM) method and an MDGHM-based scale-invariant feature transform (MDGHM-SIFT) descriptor. In the MDGHM, we devise a movable mask to represent the local features of a non-square image. The complete set of non-square image features are then represented by the summation of all MDGHMs. We also propose to apply an accumulated MDGHM using multi-order derivatives to obtain distinguishable feature information in the third stage of the SIFT. Finally, we calculate an MDGHM-based magnitude and an MDGHM-based orientation using the accumulated MDGHM. We carry out experiments using the proposed method with six kinds of deformations. The results show that the proposed method can be applied to non-square images without any image truncation and that it significantly outperforms the matching accuracy of other SIFT algorithms.

남성복에 나타난 문양의 감성이미지와 선호도 (The Sensibility Image and Preference Degree of Pattern which Appeared on Men′s Clothing)

  • 박영희
    • 복식
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    • 제54권4호
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    • pp.113-127
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    • 2004
  • This study examined the trend of pattern which appeared throughout men's clothing fashion magazine from 1999 to 2002 and the influence which the demographic characteristic have on the sensibility dimension of pattern and the preference degree of kinds of pattern. The results of study were as follows. 1) The pattern which was used most frequently on recent men's clothing was a length stripe, and the representation technique which was used most frequently on recent men's clothing was the technique of a geometric expression. 2) The pattern which men and women preferred most out of ten kinds of patterns-length stripe, width stripe, oblique stripe, check, square, waterdrop, paisley, flower of style shape, flower of realistic shape, flower of shape-was a length stripe. 3) The sensibility dimension of pattern image was composed of fascination, dignity, daring, gentleness, and reality. 4) Because sensitivity dimension and kinds of pattern were significant according to the distinction of sex, vocation, academic career, income, this study can conclude the demographic characteristic have an influence on sensitivity dimension and kinds of pattern.