• Title/Summary/Keyword: Art mask

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Production Technology for Multi-face Convergence Performance (Multi-face Convergence 공연을 위한 제작 기술)

  • You, Mi;Son, Tae-Woong;Kim, Sang-Il
    • Journal of Broadcast Engineering
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    • v.25 no.4
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    • pp.475-486
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    • 2020
  • This paper is a thesis on media art technology for high-tech performances and exhibitions. After creating an interactive stroke in VR, it is projected in real time through a media facade technique. Among our traditional dramas emphasizing linear movements, movements were extracted from the Bongsan mask dance, and the movements of the lines were used in a media art performance called 'Multi-face Convergence'. When motion data enters the virtual space, geometry consisting of faces is created in the VR space. The created strokes can be set with various brush types, and when performing, a stroke with a red fire effect that matches a dynamic movement was used. It was made to be able to harmonize with the dancers performing the Bongsan mask dance. The medium called VR has characteristics that are not suitable for melting into a performance, but in this performance, it has overcome its limitations by using a technique called media façade. We propose the world's first performance technique that combines interactive strokes with traditional dance performances.

Research on performers of Songpa Sandae-nori before and after the designation as cutural heritage (<송파산대놀이> 문화재 지정 전후 연희자 연구)

  • Lee, Hyo-nyoung
    • (The) Research of the performance art and culture
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    • no.36
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    • pp.783-837
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    • 2018
  • This study examines the lives and the performances of the people who participated in Songpa Sandae-nori(a korean traditional mask dance drama) before and after the designation as cultural heritage, and reviews the changes and the inheritance patterns of the mask dance which appeared in the lives of the performers. Chapter 2 reviewed previous debates about the derivational theory and the players of Songpa Sandae-nori before the flood in 1925, and discussed on awareness and the characteristics of the performers found through the review. Then the study went on to the inheritance patterns of the drama before the designation, focusing on the figures of Dolmari(a name of village in Songpa, Seoul) players who led the stage after 1925. As a result, the missing part of the activities and the lives of Dolmari performers have been more clearly identified, especially about Lee Beomman, Yeo taesan and Eum Joongeun(the main performers of Songpa Sandae-nori). Chapter 3 is about the inheritance patterns of the cultural heritage after the designation, and Heo Hoyoung was the main focus of the discussion. The researches so far have admitted his great contributions to the designation of cultural asset, although they have not proved how. After investigating various records and combining the testimonies of his students and locals, Heo Ho-young was found that he did not only gave plays of Songpa Sandae-nori but also actively engaged in the field of various traditional arts. Furthermore, jokes, dances, and masks left by him are considered to be evidences to reassess his performances.

The transmission background and characteristics of Bongyoung and Sogang masked dance of Ongjin county in whagnhae province (황해도 옹진의 본영탈춤·소강탈춤의 전승배경과 연희적 특징)

  • Jung, Hyung-ho;Song, In-woo
    • (The) Research of the performance art and culture
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    • no.20
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    • pp.213-249
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    • 2010
  • Aside from the Kangryung masked dance, a masque dance in the near of Ongjin county in Hwanghae province has been transmitted. This article was written by two researchers to investigate this fact in a new way. Inwoo Song had conducted a focus interview aimed at persons who came from Ongjin to South Korea and Hyungho Chung had been responsible for summarizing and analyzing the interview. Bonyoung and Suyoung were a place in which a navy admiral stayed and a very rich area. These two places and Kangryung invited and perfomed each other. They kept a competition relationship for the performance. For this reason, the masque dance had advanced in this area. Compared to Kangryung masked dance, this masked dance had a difference in the performance order including a lion dance. Malddukyi dance was expressed in detail in the first part and Hanryang dance was performed independently in the middle of the dance. Sangjwa dance among dances was considered important. Also a lively Malddukyi dance was a scale which measured the skill of the dance. Chwiballyi starred in the dance. The mask was made from a paper and had a grotesque ghost face. This dance was played around Dan-oh. The music accompaniment was conducted by professional musician group, "Kyungjanpae", who lived in the vicinity. They had talents such as masked dance, tightrope dancing, tumbling in addition to music accompaniment. Especially, a local shaman took part in the Bonyoung masked dance and leaded an excorcism after the death of Halmi. Also, in the part of the Kwangdaedaegam gut, the shaman and village people put on the mask and danced together. Therefore, a shaman was closely connected with a local masked dance. After the Korean war, Kangryung masked dance was restored but Bongyoung and Sogang masked dance was not transmitted at all. This article will be helpful for completing the script and restoring the Bongyoung and Sogang masked dance.

Passports Recognition using ART2 Algorithm and Face Verification (ART2 알고리즘과 얼굴 인증을 이용한 여권 인식)

  • Jang, Do-Won;Kim, Kwang-Baek
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2005.05a
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    • pp.190-197
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    • 2005
  • 본 논문에서는 출입국자 관리의 효율성과 체계적인 출입국 관리를 위하여 여권 코드를 자동으로 인식하고 위조 여권을 판별할 수 있는 여권 인식 및 얼굴 인증 방법을 제안한다. 여권 이미지는 기울어진 상태로 스캔되어 획득되어질 수도 있으므로 기울기 보정은 문자 분할 및 인식, 얼굴 인증에 있어 매우 중요하다. 따라서 본 논문에서는 여권 영상을 스미어링한 후, 추출된 문자열 중에서 가장 긴 문자열을 선택하고 이 문자열의 좌측과 우측 부분의 두께 중심을 연결하는 직선과 수평선과의 기울기를 이용하여 여권 여상에 대한 각도 보정을 수행한다. 여권 코드 추출은 소벨 연산자와 수평 스미어링, 8방향 윤곽선 추적 알고리즘을 적용하여 여권 코드의 문자열 영역을 추출하고, 추출된 여권 코드 문자열 영역에 대해 반복 이지화 방법을 적용하여 코드의 문자열 영역을 이진화한다. 이진화된 문자열 영역에 대해 CDM 마스크를 적용하여 문자열의 코드들을 복원하고 8방향 윤곽선 추적 알고리즘을 적용하여 개별 코드를 추출한다. 추출된 개별 코드는 ART2 알고리즘을 적용하여 인식한다. 얼굴 인증을 위해 템플릿 매칭 알고리즘을 이용하여 얼굴 템플릿 데이터베이스를 구축하고 여권에서 추출된 얼굴 영역과의 유사도 측정을 통하여 여권 얼굴 영역의 위조 여부를 판별한다. 얼굴 인증을 위해서 Hue, YIQ-I, YCbCr-Cb 특징들의 유사도를 종합적으로 분석하여 얼굴 인증에 적용한다. 제안된 여권 인식 및 얼굴 인증 방법의 성능을 평가를 위하여 원본 여권에 얼굴 부분을 위조한 여권과 노이즈, 대비 증가 및 감소, 밝기 증가 및 감소 및 여권 영상을 흐리게 하여 실험한 결과, 제안된 방법이 여권 코드 인식 및 얼굴 인증에 있어서 우수한 성능이 있음을 확인하였다.권 영상에서 획득되어진 얼굴 영상의 특징벡터와 데이터베이스에 있는 얼굴 영상의 특징벡터와의 거리 값을 계산하여 사진 위조 여부를 판별한다. 제안된 여권 인식 및 얼굴 인증 방법의 성능을 평가를 위하여 원본 여권에서 얼굴 부분을 위조한 여권과 기울어진 여권 영상을 대상으로 실험한 결과, 제안된 방법이 여권의 코드 인식 및 얼굴 인증에 있어서 우수한 성능이 있음을 확인하였다.진행하고 있다.태도와 유아의 창의성간에는 상관이 없는 것으로 나타났고, 일반 유아의 아버지 양육태도와 유아의 창의성간의 상관에서는 아버지 양육태도의 성취-비성취 요인에서와 창의성제목의 추상성요인에서 상관이 있는 것으로 나타났다. 따라서 창의성이 높은 아동의 아버지의 양육태도는 일반 유아의 아버지와 보다 더 애정적이며 자율성이 높지만 창의성이 높은 아동의 집단내에서 창의성에 특별한 영향을 더 미치는 아버지의 양육방식은 발견되지 않았다. 반면 일반 유아의 경우 아버지의 성취지향성이 낮을 때 자녀의 창의성을 향상시킬 수 있는 것으로 나타났다. 이상에서 자녀의 창의성을 향상시키는 중요한 양육차원은 애정성이나 비성취지향성으로 나타나고 있어 정서적인 측면의 지원인 것으로 밝혀졌다.징에서 나타나는 AD-SR맥락의 반성적 탐구가 자주 나타났다. 반성적 탐구 척도 두 그룹을 비교 했을 때 CON 상호작용의 특징이 낮게 나타나는 N그룹이 양적으로 그리고 내용적으로 더 의미 있는 반성적 탐구를 했다용을 지원하는 홈페이지를 만들어 자료 제공 사이트에 대한 메타 자료를 데이터베이스화했으며 이를 통해 학생들이 원하는 실시간 자료를 검색하여 찾을 수 있고 홈페이지를 방분했을 때 이해하기 어려운 그래프나 각 홈페이지가 제공하는 자료들에 대한 처리 방법을 도움말로 제공받을 수 있게 했다. 실

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Adaptive Importance Channel Selection for Perceptual Image Compression

  • He, Yifan;Li, Feng;Bai, Huihui;Zhao, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.9
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    • pp.3823-3840
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    • 2020
  • Recently, auto-encoder has emerged as the most popular method in convolutional neural network (CNN) based image compression and has achieved impressive performance. In the traditional auto-encoder based image compression model, the encoder simply sends the features of last layer to the decoder, which cannot allocate bits over different spatial regions in an efficient way. Besides, these methods do not fully exploit the contextual information under different receptive fields for better reconstruction performance. In this paper, to solve these issues, a novel auto-encoder model is designed for image compression, which can effectively transmit the hierarchical features of the encoder to the decoder. Specifically, we first propose an adaptive bit-allocation strategy, which can adaptively select an importance channel. Then, we conduct the multiply operation on the generated importance mask and the features of the last layer in our proposed encoder to achieve efficient bit allocation. Moreover, we present an additional novel perceptual loss function for more accurate image details. Extensive experiments demonstrated that the proposed model can achieve significant superiority compared with JPEG and JPEG2000 both in both subjective and objective quality. Besides, our model shows better performance than the state-of-the-art convolutional neural network (CNN)-based image compression methods in terms of PSNR.

Skin Lesion Image Segmentation Based on Adversarial Networks

  • Wang, Ning;Peng, Yanjun;Wang, Yuanhong;Wang, Meiling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2826-2840
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    • 2018
  • Traditional methods based active contours or region merging are powerless in processing images with blurring border or hair occlusion. In this paper, a structure based convolutional neural networks is proposed to solve segmentation of skin lesion image. The structure mainly consists of two networks which are segmentation net and discrimination net. The segmentation net is designed based U-net that used to generate the mask of lesion, while the discrimination net is designed with only convolutional layers that used to determine whether input image is from ground truth labels or generated images. Images were obtained from "Skin Lesion Analysis Toward Melanoma Detection" challenge which was hosted by ISBI 2016 conference. We achieved segmentation average accuracy of 0.97, dice coefficient of 0.94 and Jaccard index of 0.89 which outperform the other existed state-of-the-art segmentation networks, including winner of ISBI 2016 challenge for skin melanoma segmentation.

Development of High Aperture Ratio 2.1” QVGA LTPS (Low Temperature Poly Si) LCD Using SLS (Sequential Lateral Solidification) Technology

  • Kang, Myung-Koo;Lee, Joong-Sun;Park, Jong-Hwa;Zhang, Lintao;Joo, Seung-Yong;Kim, Chul-Ho;Kim, Il-Kon;Kim, Sung-Ho;Park, Kyung-Soon;Yoo, Chun-Ki;Kim, Chi-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07b
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    • pp.1033-1034
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    • 2005
  • High resolution 2.1” QVGA LTPS LCD (190ppi) having high aperture ratio of 65% could be successfully developed using state-of-the-art SLS technology and active/gate storage structure. Cost effective P-MOS 6-Mask structure was used. Full gate and transmission gate circuits are integrated in the panel. The high aperture ratio was obtained by using active/gate capacitance structure, which can reduce storage capacitance area. The aperture ratio was increased to 65% from 49% of conventional gate/data capacitance structure. The brightness was increased from 180cd to 270cd without any degradation of optical properties such as contrast ratio, flicker or crosstalk.

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Synthesizing Image and Automated Annotation Tool for CNN based Under Water Object Detection (강건한 CNN기반 수중 물체 인식을 위한 이미지 합성과 자동화된 Annotation Tool)

  • Jeon, MyungHwan;Lee, Yeongjun;Shin, Young-Sik;Jang, Hyesu;Yeu, Taekyeong;Kim, Ayoung
    • The Journal of Korea Robotics Society
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    • v.14 no.2
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    • pp.139-149
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    • 2019
  • In this paper, we present auto-annotation tool and synthetic dataset using 3D CAD model for deep learning based object detection. To be used as training data for deep learning methods, class, segmentation, bounding-box, contour, and pose annotations of the object are needed. We propose an automated annotation tool and synthetic image generation. Our resulting synthetic dataset reflects occlusion between objects and applicable for both underwater and in-air environments. To verify our synthetic dataset, we use MASK R-CNN as a state-of-the-art method among object detection model using deep learning. For experiment, we make the experimental environment reflecting the actual underwater environment. We show that object detection model trained via our dataset show significantly accurate results and robustness for the underwater environment. Lastly, we verify that our synthetic dataset is suitable for deep learning model for the underwater environments.

Attention Capsule Network for Aspect-Level Sentiment Classification

  • Deng, Yu;Lei, Hang;Li, Xiaoyu;Lin, Yiou;Cheng, Wangchi;Yang, Shan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1275-1292
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    • 2021
  • As a fine-grained classification problem, aspect-level sentiment classification predicts the sentiment polarity for different aspects in context. To address this issue, researchers have widely used attention mechanisms to abstract the relationship between context and aspects. Still, it is difficult to effectively obtain a more profound semantic representation, and the strong correlation between local context features and the aspect-based sentiment is rarely considered. In this paper, a hybrid attention capsule network for aspect-level sentiment classification (ABASCap) was proposed. In this model, the multi-head self-attention was improved, and a context mask mechanism based on adjustable context window was proposed, so as to effectively obtain the internal association between aspects and context. Moreover, the dynamic routing algorithm and activation function in capsule network were optimized to meet the task requirements. Finally, sufficient experiments were conducted on three benchmark datasets in different domains. Compared with other baseline models, ABASCap achieved better classification results, and outperformed the state-of-the-art methods in this task after incorporating pre-training BERT.

The Provenance of Lapis Lazuli, the Written Sources, and its Distribution as Pigment in the Wall Paintings of Central Asia and the Middle East

  • Claudio, SECCARONI;Michael, JUNG
    • Acta Via Serica
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    • v.7 no.2
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    • pp.89-108
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    • 2022
  • Since the most ancient times, lapis lazuli had been used for luxury goods such as jewelry and seals, to embellish sculptures and weapons or the precious objects of tombs, such as the golden mask of Tutankhamon or the famous "Standard" of the royal cemetery of Ur. Much more recent seems to be its frequent use as a pigment in wall paintings or polychrome stucco. In this article, the question of the sources for this extremely rare mineral is briefly discussed and the places proposed by ancient scholars as deposits of the mineral are presented and examined. The information provided in the medieval Arabic and Persian scientific literature has been considered and compared with the data of our modern geological knowledge. A list of sites in Central Asia, the Middle East, and India with lapis lazuli occurrence on wall paintings illustrate its wide use in different artistic cultures and periods between the 2nd and 10th centuries C.E. These cultures are in fact different in ethnic and linguistic origin and in the religious, economic, and social sphere, but closely interconnected by common pan-regional artistic traditions in style, materials, and techniques employed. A case study investigated by the authors in the Friday Mosque of Iṣfahān gives an example of the use of lapis lazuli pigment in Islamic wall paintings and stuccoes.