• 미술이론과 현장
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• 제2호
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• pp.169-190
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• 2004

The purpose of this article is to delve into the problems of originality of the artwork by examining issues of reproduction within the contemporary art market. In contemporary arts, especially in terms of art production and consumption, we can't overlook society and its economic structure and its connection with of capitalism. As the purity of art creation has turned into an exchange value, art, especially an object as artwork, has fallen into the status of production in an economic marketing system. Walter Benjamin mainly referred to that point in his thesis Das Kunstwerk im Zeitalter seiner technischen Reproduzierbarkeit, which originated the sociology of plastic arts. This thesis, published in 1936, traced how the artistic functions of photograph and movie had been changed through the social development. His main concerns were movie and photograph but what I am concentrating from his point of view, is that even in the field of plastic arts, the manufacture of reproduction has been practiced as a primary method within the social and political contexts and development. Though I am referring to this in the main body of this article, reproduction in contemporary art strongly needs a new definition since it has been spread all over like a newest virus, not only by collector's personal taste or hut also by commercial circulations of these reproductions to the public. This relates to Benjamin's argument about the value of an exhibition at a museum(Ausstellungswert). Since the function of an artwork has been one of cultural industry, the manufacturing of reproduction raises unexpected problems, such as, the originality of the artwork, the value of an exhibition at a museum, its achievement as documentary and as a territory of art criticism. In this point of view, I want to inquire into the value and criteria of an exhibition in contemporary art through the review of the definitions and the intrinsic attributes of reproduction. Somehow in a broad sense, the reproduction is a product coming out of representation or copy (replica) of an original art work or an model. Therefore, the problems it presents differ from the Simulacre, which is an image without an original one. In terms of the Meanings of reproduction, we can distinguish it as reproductions, copies, and productions. These types of reproductions are not the original artworks reflected by the creative intention of the artists. For example, a publishing company reproduced some of lithographs of Salvador Dali in the 1960s. They are commercial copies in the form of representation or reproduction with no artistic and creative intention of the artist. However, In despite of this theoretical basis, reproductions of the famous artists are still displayed without any verification for of the public's quest for the artworks. Moreover, many commercial companies that are planning to exhibit art works of the world-famous artists only for their profits keep trying to speak ill of and judging by the law the honest art critics' articles which discuss the true values of exhibition. If freedom of expression is one of the ideals of democracy, even the judgment of the originality of the artworks should be freely expressed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.272-287
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• 2017

This paper proposes new methods, named Derivative Code (DerivativeCode) and Derivative Code Pattern (DCP), for object recognition. The discriminative derivative code is used to capture the local relationship in the input image by concatenating binary results of the mathematical derivative value. Gabor based DerivativeCode is directly used to solve the palmprint recognition problem, which achieves a much better performance than the state-of-art results on the PolyU palmprint database. A new local pattern method, named Derivative Code Pattern (DCP), is further introduced to calculate the local pattern feature based on Dervativecode for object recognition. Similar to local binary pattern (LBP), DCP can be further combined with Gabor features and modeled by spatial histogram. To evaluate the performance of DCP and Gabor-DCP, we test them on the FERET and PolyU infrared face databases, and experimental results show that the proposed method achieves a better result than LBP and some state-of-the-arts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.945-961
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• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4776-4794
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• 2020

We propose a rapid adaptive learning framework for streaming object detection, called EER-ASSL. The method combines the expected error reduction (EER) dependent rollback learning and the active semi-supervised learning (ASSL) for a rapid adaptive CNN detector. Most CNN object detectors are built on the assumption of static data distribution. However, images are often noisy and biased, and the data distribution is imbalanced in a real world environment. The proposed method consists of collaborative sampling and EER-ASSL. The EER-ASSL utilizes the active learning (AL) and rollback based semi-supervised learning (SSL). The AL allows us to select more informative and representative samples measuring uncertainty and diversity. The SSL divides the selected streaming image samples into the bins and each bin repeatedly transfers the discriminative knowledge of the EER and CNN models to the next bin until convergence and incorporation with the EER rollback learning algorithm is achieved. The EER models provide a rapid short-term myopic adaptation and the CNN models an incremental long-term performance improvement. EER-ASSL can overcome noisy and biased labels in varying data distribution. Extensive experiments shows that EER-ASSL obtained 70.9 mAP compared to state-of-the-art technology such as Faster RCNN, SSD300, and YOLOv2.

• 한국콘텐츠학회논문지
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• 제20권2호
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• pp.82-95
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• 2020

본 연구는 역사문화지구 퍼블릭 아트의 특징과 아이덴티티를 연구 대상으로 역사문화구역의 퍼블릭 아트에 대한 이론 연구와 조사를 통해 징더전 도계천이 대표하는 역사문화지구 퍼블릭 아트의 특성을 연구하였다. 공간적 특성과 아이덴티티를 형성하는 여섯 가지 평가요인인 환경성, 공공성, 상징성, 예술성, 역사성, 상호작용성을 중심으로 도계천 퍼블릭 아트의 특성과 아이덴티티를 분석과 평가하였다. 연구 결과 산업 유산물로 재탄생 한 7개 큰 굴뚝의 퍼블릭 아트는 완전히 보존된 산업역사 건물과 어울린다. 그중, 환경성, 공공성, 상징성, 예술성, 역사성이 명확한 구현을 갖추고 있으며 단지의 역사적 상징물로서 보존가치와 식별가능성이 높아 일반 퍼블릭 아트의 행사나 체험기능을 더하지 않아도 된다. 지역 재생을 위한 신퍼블릭 아트 중 퍼블릭 아트의 예술성, 환경성, 공공성이 높게 나타났고 환경성도 중간 수준을 보이고 있지만, 역사성이 높지 않고, 상호 작용성이 약하다. 산업 유산물로 재탄생한 퍼블릭 아트는 역사유적 퍼블릭 아트로 산업유산과 도자기 요소로 대중들의 시공간과소통을 형성하면서 대중에게 정신적 공감을 전달할 수 있는 아이덴티티를 형성하였으며, 지역재생을 위한 신 퍼블릭 아트는 도계천에 새로운 예술적 정취를 부여하였으나 새로운 아이덴티티는 나타내지 못하는 것으로 평가되었다.

• 문화기술의 융합
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• 제8권5호
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• pp.171-176
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• 2022

본고는 20세기 중반 이후 펼쳐진 상호학제적인 융합적 예술실천의 핵심적 유형인 사운드아트 큐레이팅이 가지는 역사적 의미와 가치를 고찰한다. 이에 '사운드아트'의 시작에서 현재까지의 발전적 과정을 정리하되, '사운드'라는 재료가 기능한 시각예술의 맥락을 시대 순으로 살피고 주요한 사운드아트 전시의 큐레이팅 사례를 중심으로 '사운드'가 제공한 미학적 체험의 파장과 동시대적 의의를 분석하고자 한다. 이를 위하여 본문은 세 개의 섹션으로 구분하여 전개한다. 첫 번째 섹션에서는 19세기 후반 미래파와 다다이스트의 사운드 시에 뒤이어 1913년 마르셀 뒤샹이 음악악보를 시각예술과 접목했던 시도 등이 아방가르드 작곡가 존 케이지의 시각적 음악에도 깊은 영향을 끼쳤음을 인식한다. 이에 이러한 배경이 '사운드'를 새로운 미디어로서 다루는 전시의 등장을 야기했음을 설명한다. 두 번째 섹션에서는 1970년대 들어서면서 예술적 미디어로서의 사운드가 시각성이 지배하는 전시공간과의 비판적 관계성을 성찰하게 하는 역할을 하게 되었음을 설명한다. 세 번째 섹션에서는 1980년대 이후 현재까지 관객이 전시장의 조직 내에서 마치 하나의 시각적 오브제처럼 사운드를 체험하도록 하는 큐레토리얼 방법론을 분석한다. 본고는 이러한 과정을 통해 전시장에서의 지각적 구조를 관습화 했던 역사적 실천을 비평적으로 대하며 동시대 예술현장에서 생명력 넘치는 사운드의 역할을 고민한 사운드아트 큐레이팅의 유의미한 방법론을 사유해 본다.

• International Journal of Control, Automation, and Systems
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• 제4권2호
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• pp.204-216
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• 2006

Latest advances in hardware technology and state of the art of mobile robot and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. And mobile service robot requires the perception of its present position to coexist with humans and support humans effectively in populated environments. To realize these abilities, robot needs to keep track of relevant changes in the environment. This paper proposes a localization of mobile robot using the images by distributed intelligent networked devices (DINDs) in intelligent space (ISpace) is used in order to achieve these goals. This scheme combines data from the observed position using dead-reckoning sensors and the estimated position using images of moving object, such as those of a walking human, used to determine the moving location of a mobile robot. The moving object is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Using the a priori known path of a moving object and a perspective camera model, the geometric constraint equations that represent the relation between image frame coordinates of a moving object and the estimated position of the robot are derived. The proposed method utilizes the error between the observed and estimated image coordinates to localize the mobile robot, and the Kalman filtering scheme is used to estimate the location of moving robot. The proposed approach is applied for a mobile robot in ISpace to show the reduction of uncertainty in the determining of the location of the mobile robot. Its performance is verified by computer simulation and experiment.

• 한국멀티미디어학회논문지
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• 제22권12호
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• pp.1415-1429
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• 2019

Nowadays object tracking process becoming one of the most challenging task in Computer Vision filed. A CSR-DCF (channel spatial reliability-discriminative correlation filter) tracking algorithm have been proposed on recent tracking benchmark that could achieve stat-of-the-art performance where channel spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in the filter update and the tracking process with only two simple standard features, HoGs and Color names. However, there are some cases where this method cannot track properly, like overlapping, occlusions, motion blur, changing appearance, environmental variations and so on. To overcome that kind of complications a new modified version of CSR-DCF algorithm has been proposed by integrating deep learning based object detection and CSRT tracker which implemented in OpenCV library. As an object detection model, according to the comparable result of object detection methods and by reason of high efficiency and celerity of Faster RCNN (Region-based Convolutional Neural Network) has been used, and combined with CSRT tracker, which demonstrated outstanding real-time detection and tracking performance. The results indicate that the trained object detection model integration with tracking algorithm gives better outcomes rather than using tracking algorithm or filter itself.

• 한국운동역학회지
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• 제17권1호
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• pp.81-90
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• 2007

The effort identifying positioning information of the moving object in real time has been a issue not only in sport biomechanics but also other academic areas. In order to solve this issue, this study tried to track the movement of a pitched ball that might provide an easier prediction because of a clear focus and simple movement of the object. Machine learning has been leading the research of extracting information from continuous images such as object tracking. Though the rule-based methods in artificial intelligence prevailed for decades, it has evolved into the methods of statistical approach that finds the maximum a posterior location in the image. The development of machine learning, accompanied by the development of recording technology and computational power of computer, made it possible to extract the trajectory of pitched baseball from recorded images. We present a method of baseball tracking, based on object tracking methods in machine learning. We introduce three state-of-the-art researches regarding the object tracking and show how we can combine these researches to yield a novel engine that finds trajectory from continuous pitching images. The first research is about mean shift method which finds the mode of a supposed continuous distribution from a set of data. The second research is about the research that explains how we can find the mode and object region effectively when we are given the previous image's location of object and the region. The third is about the research of representing data into features that we can deal with. From those features, we can establish a distribution to generate a set of data for mean shift. In this paper, we combine three works to track baseball's location in the continuous image frames. From the information of locations from two sets of images, we can reconstruct the real 3-D trajectory of pitched ball. We show how this works in real pitching images.

• 한국실내디자인학회논문집
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• 제17권2호
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• pp.130-139
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• 2008

We have attached importance to the values of spirit and immateriality. As the age of modernism of rationality ended, human being began to emphasize spiritual and immaterial while accepting multiplicity and diversification in the whole areas of society and culture. Hence interests have increased in another side of human spirit that was oppressed by rational, analytic, reasonable and scientific thinking, which has expanded the inner world of human being to the world of the unconscious. According to these paradigm changes, steady efforts to improve our lives better both materially and spiritually have been made in the areas of art and design. Therefore, the current study aims to examine the meaning of object expressed in space from the viewpoint of the unconscious, focusing on works of designer Philippe Starck after 2000 in which unique, preferential and liking characteristics are expressed well. Philippe Starck is a designer who connects design with our daily lives and formalizes it with creative ideas. Also the study theoretically explored the theory of the unconscious, a concept of Freudianism, based on 'Meaning of Dreams' of Freud, and explained the expressional characteristics and meaning of unconscious desire through his works by putting object in Philippe Starck's space. It aims to grope for the meaning of object as another possibility that can function as a spatial ruling element by analyzing object through expanding the extent of correlation and interpretation between human containing spiritual things and object which is the recognition subject in space of the present time, not a mere concept as substance like in the past, and expression of Starck's unconscious desire based on unconscious theory.