• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.129-139
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• 1999

This paper analyzes the trend of fashion and make-up in 1990s and their relevancy to each other. Based on the chronological analysis, we propose a new category for the fashion and make-up trend in 1990s, which is 1) traditional ecology period(1990∼1994), 2) versatile trial or decadent period(1995∼1997), and 3) soft landing period based on the minimal neo-ecology and romanticism(1998∼2000). Between 1990 and 1994, there was no differentiation in seasons. It appeared that spring/summer and fall/winter trend have had no big differences. At the beginning in 1990s, it was basically based on ecology concept that emphasizes the natural image. However after 1995, seasonal differences in trend are appeared and there were various make-up designs. The trends of spring/summer in 1996 could be named as color revolution period that emphasized the unique and individual expression of each person. In 1997, black, pastel, and brown colors were the result of reinterpreting the classic and sexy images of 1960s to natural and modernistic image of 1997. Purple color started to be introduced to us. In 1998, pastel tone, pink, and purple color expresses the glamorous look based on the romantic feminism. S/S of 1999 is mainly represented by minimalism and avant garde. For fall/winter trends, brown color lines make-up comes to mix with romantic image and developed into wine, orange, neon colors in 1995 and 1996. These colors were the symbol of property and sentiment. Gold make-up emphasizing the eye area was the tendency of that period. In 1997, the fear of coming end of century was expressed as decadent image. At that time, ethnic and romantic image appeared with vivid color lines, gold, red and violet. In 1998, romanticism was popular again with modernism and ethnic mood. It expressed the romantic elegant image. The trend has returned to the ecology mood again in 1999. This ecology is somewhat different from the previous ecology. It adds a sofistaiced feeling and sportic fashion. To express natural and sportic image, they choose pink blush. In coming 2000 as a new millennium, the yellow color will be main the stream to express vision, dream, and happiness in both fashion and make-up as an accent color. The minimal design and minimal tools will be used for the design and make-up, respectively. In addition, the fusion concept will dominate the fashion and make-up industry in the globalized and boundariless age. Through this paper, we hope that make-up can be accepted as a part of total fashion in its relationship with other elements such as shoes, clothes and accessory and that it can be considered as a independent art that has direct influence on people and industry.

• Journal of the HCI Society of Korea
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• v.2 no.2
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• pp.1-9
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• 2007

In this paper, we propose a reconstruction technique of the lost hair region for 3D human actor modeling. An active depth sensor system can simultaneously capture both color and geometry information of any objects in real-time. However, it cannot acquire some regions whose surfaces are shiny and dark. Therefore, to get a natural 3D human model, the lost region in depth image should be recovered, especially human hair region. The recovery is performed using both color and depth images. We find out the hair region using color image first. After the boundary of hair region is estimated, the inside of hair region is estimated using an interpolation technique and closing operation. A 3D mesh model is generated after performing a series of operations including adaptive sampling, triangulation, mesh smoothing, and texture mapping. The proposed method can generate recovered 3D mesh stream automatically. The final 3D human model allows the user view interaction or haptic interaction in realistic broadcasting system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.57-64
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• 2006

Tn this paper, We propose a user friendly object-based multimedia retrieval system using the HCNN(HippoCampus Neural Network. Most existing approaches to content-based retrieval rely on query by example or user based low-level features such as color, shape, texture. In this paper we perform a scene change detection and key frame extraction for the compressed video stream that is video compression standard such as MPEG. We propose a method for automatic color object extraction and ACE(Adaptive Circular filter and Edge) of content-based multimedia retrieval system. And we compose multimedia retrieval system after learned by the HCNN such extracted features. Proposed HCNN makes an adaptive real-time content-based multimedia retrieval system using excitatory teaming method that forwards important features to long-term memories and inhibitory learning method that forwards unimportant features to short-term memories controlled by impression.

• Ecology and Resilient Infrastructure
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• v.8 no.4
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• pp.233-244
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• 2021

This study investigated the application of terrestrial light detection and ranging (LiDAR) to inspect the defects of the vegetated levee. The accuracy of vegetation filtering techniques was compared by applying filtering techniques on photogrammetric point clouds of a vegetated levee generated by terrestrial LiDAR. Representative 10 vegetation filters such as CIVE, ExG, ExGR, ExR, MExG, NGRDI, VEG, VVI, ATIN, and ISL were applied to point cloud data of the Imjin River levee. The accuracy order of the 10 techniques based on the results was ISL, ATIN, ExR, NGRDI, ExGR, ExG, MExG, VVI, VEG, and CIVE. Color filters show certain limitations in the classification of vegetation and ground and classify grass flower image as ground. Morphological filters show a high accuracy of the classification, but they classify rocks as vegetation. Overall, morphological filters are superior to color filters; however, they take 10 times more computation time. For the improvement of the vegetation removal, combined filters of color and morphology should be studied.

• Animal Systematics, Evolution and Diversity
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• v.17 no.1
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• pp.13-19
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• 2001

Hydra and hydromedusa specimens were collected from the Jisanchon Stream in Kyonggi-do (Pyongtaek-shi) and the coasts of Geojedo Island (Jangmok-ri), Korea during the period July 1999-June 2000. They were identified into Hydra magnipapillata Ito, 1947 (Hydridae, Athecatae) and Phialidium folleatum (McCrady, 1857) (Campanulariidae, Leptomedusae) respectively. H. magnipapillata is blackish or light brown color, its cylinder-shaped trunk reaches to 20 ㎜ long and 0.5-0.6 ㎜ wide in fully extended, and has generally 5-6 highly delicate long tentacles. P. folleatum is a small marine hydromedusa, below 5 ㎜ wide and has a minute statocyst between successive tentacles.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.505-508
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• 2001

Remote Sensing is one of effective methods for collecting, analyzing information and predicting the change of agricultural environments. The RS technique is based on the principle that the object reflects a peculiar radio wave according to types and environmental conditions. For collection RS base data, used spectroradiometer which measures reflection characteristics between $300{\sim}1,100nm$ and measured the reflection of Mi-ho stream's water resources which is located thong-won, Chung-buk province, Korea. The difference of reflectance represents the characteristic of bottom soil, water color and matters in water.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.418-420
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• 2001

최근 디지털 비디오 데이터의 사용이 급격히 증가하면서 보다 정확하게 샷을 검출하는 기법이 요구되고 있다. 비디오 정보를 이용하여 샷을 검출하는 역는 크게 이산코사인 변환의 결과값을 이용하는 방법과 움직임 보상의 결과값을 이용하는 방법으로 그룹화할 수 있는데 전자의 방법은 점진적인 변화를 검출할 수 있는 반면에 전체적인 검출율이 떨어진다는 단점이 있고, 후자의 방법은 전체적인 검출율은 높지만 점진적인 변화를 검출할 수 없다는 단점이 있다. 본 논문에서는 실험을 통하여 이러한 두 가지 방법의 특징을 살펴본 후 이 방법들을 이용한 새로운 샷 경계 검출 방법을 제안한다. 전체적으로 검출율을 높이는 데 목적을 두었기 때문에 매크로블록 타입을 이용하는 방법을 기본으로 하면서 히스토그램을 이용하는 방법을 추가하여 precision을 높일 수 있도록 하였다. 히스토그램을 이용하는 방법에서는 단순히 프레임과의 비교를 하던 기존의 방법에다 프레임들간의 차이의 차이를 이용하여 성능을 높일 수 있도록 하였다. 본 논문에서 제안한 알고리즘을 이용하여 실험을 한 결과 평균 0.96의 recall과 0.96의 precision을 보이고 있음을 알 수 있었다.

• Animal Systematics, Evolution and Diversity
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• v.4 no.2
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• pp.91-102
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• 1988

Both Cobitis lutheri Rendahl and C.striata Ikeda previously regarded as the subspecies of C.taenia are revised here and raised to the species rank based on the distinct color pattern on their body sides in relation to the shpae of lamina circularis and suborbital spine, and distinct distributional patter. C. lutheri was similar to C. striata in chromosome number and karyotype, but chromosomal polymorphism as Robert sonian event was confirmed only in the population of C.lutheri studies. Both, C. kutheri and C..striata have disjunct ranges : the former in western Korea and east-northern China Mainland, the latter in the Smjin River of korea and west-southern Japan. hybridization between C. lutheri and C. striata by secondary contact appeared in the limited zone of the Dongjin River, Chllabuk-do province, korea, but the evidence for habitat segregation between them suggests the possibility that natural hybridization occurs between the two species and introgression results. We consider that the two species were produced as ecological equivalent species in the different branch stream of the Paleo-Hwangho River , The time of recession of sea level during the gracial period.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1468-1471
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• 2012

It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient algorithm for Image registration and stitching of captured imaged from a video stream. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is use for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and a nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.95-102
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• 2005

In this paper, we propose a user friendly object-based image retrieval system using the interaction between cortex and hippocampus. Most existing ways of queries in content-based image retrieval rely on query by example or query by sketch. But these methods of queries are not adequate to needs of people's various queries because they are not easy for people to use and restrict. We propose a method of automatic color object extraction using CSB tree map(Color and Spatial based Binary をn map). Extracted objects were transformed to bit stream representing information such as color, size and location by region labelling algorithm and they are learned by the hippocampal neural network using the interplay between cortex and hippocampus. The cells of exciting at peculiar features in brain generate the special sign when people recognize some patterns. The existing neural networks treat each attribute of features evenly. Proposed hippocampal neural network makes an adaptive fast content-based image retrieval system using excitatory learning method that forwards important features to long-term memories and inhibitory teaming method that forwards unimportant features to short-term memories controlled by impression.