• Journal of Korean Society of Forest Science
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• v.104 no.4
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• pp.685-696
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• 2015

This study intends to evaluate visual preference and image for 10 types of forest sceneries which have own distinct characteristics without overlapping each other among 22 types of beautiful forest sceneries based on Korea National Parks. Z scale and paired comparison methods were used to analyze visual preference for forest scenery, and SD scale method was also adopted to assess visual image for forest scenery. Experiments were conducted with 3 different university students groups. The results of this study can be summarized as follows. First, the evaluation results of Z scale (N=70) and paired comparison (N=64) methods show similar visual preference for different types of forest scenery. 'Scenery inside forests' and 'valley and rock' sceneries have the highest level of preference, and 'panorama of ridges', 'ridge of curious rock peaks', and 'waterfall and cliff' also have relatively higher preference level than others. However, 'community of dead trees' has the lowest preference in forest sceneries. Second, the factor analysis outputs of the image scores for beautiful forest scenery types by SD scale (N=66) show 3 factors of 'mysterious charm', 'colorful sense', and 'vividness/variety'. Examined the variables of forest scenery types for each factor, the image of 'mysterious charm' is based on the sceneries of mountain ridges, the image of 'colorful sense' is focused on the sceneries of color-expressed sense of the season, and the image of 'vividness/variety' is based on the sceneries of waterscape and curious rock peaks.

• Cartoon and Animation Studies
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• s.50
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• pp.1-22
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• 2018

This study investigated realism sceneries shown in animation movies of auteurism. Although animation has properties of mechanical images arranged by short cuts, it essentially starts with the images dealing with space art based on the consciousness of an author. In this aspect, sceneries of animation movies can be the most proper subject for study from the viewpoint of image. Generally, sceneries of animation movies maintain the neutral position as a stage setting for story. However, as for auteurism animation, the sceneries have subjective meaning as major media to express the work or the vision and value of the author on the world. The representative animation movies that reflect the role and meaning of realism sceneries among auteurism animations are and . The former shows Korean sceneries and the latter presents local sceneries of Japan quite well. Reviewing the characteristics of sceneries shown in two movies, the sceneries of are the discovery of internal consciousness of the author that signifies pure innocence of childhood into the voice of nature through the style of the author. Meanwhile, sceneries of adopted nature landscape surrealistically based on the internal consciousness of the author and described the forest as the absolute utopia of the author. As such, the sceneries shown in two movies were utilized as the "framework of thought" of the authors that intensify the viewpoint of the movies on the world through empirical interpretation and detailed description of neutral landscape based on internal consciousness of the authors.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.1-13
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• 2009

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele's method in terms of accuracy.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2019.03a
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• pp.3-4
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• 2019

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.9-18
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• 2013

In order to measure the parameters of consumers' preferred image quality, this research suggests image quality assessment factors; dynamic range, color, and contrast. They have both physical image quality factors and psychological characteristics from the previous researches. We found out the specific ranges of preferred image quality metrics. As a result, Digital Zone System meant for dynamic range generally shows 6~10 stop ranges in portrait, nightscape, and landscape. Total RGB mean values represent in portrait (67.2~215.2), nightscape (46~142), and landscape (52~185). Portrait total RGB averages have the widest range, landscape, and nightscape, respectively. Total scene contrast ranges show in portrait (196~589), nightscape (131~575), and landscape (104~767). Especially in portrait, skin tone RGB mean values are in ZONE V as the exposure standard, but practically image consumers' preferred skin tone level is in ZONE IV. Also, total scene versus main subject contrast ratio represents 1:1.2; therefore, we conclude that image consumers prefer the out-of-focus effect in portrait. Throughout this research, we can measure the preferred image quality metrics ranges. Also, we expect the practical and specific dynamic range, color, and contrast information of preferred image quality to positively influence product development.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.870-871
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• 2023

미세먼지 단계를 예측하는 딥러닝 기반 시스템을 개발하고 그 성능을 평가하는 연구를 진행했다. 연구에서 320개의 풍경 사진 데이터를 수집하고, 해당 시점의 미세먼지 농도를 측정하여 "좋음" 또는 "나쁨"으로 분류했다. 데이터 전처리 단계에서는 특히 하늘 이미지의 특성을 고려하여 다양한 전처리 기법을 적용하였다. 다섯 가지 이미지 데이터 모델을 사용하여 이미지를 분류하고 미세먼지 단계를 예측하는 모델을 개발하였으며, 또 이 모델들을 다양한 기법으로 앙상블 해보며 성능을 비교했다. 그 결과, Random Forest를 이용한 앙상블 모델이 제일 뛰어난 예측 성능을 보였다. 이러한 연구 결과는 미세먼지 모니터링 및 예측에 유용한 시스템 개발의 가능성을 제시한다.

• Journal of Conservation Science
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• v.35 no.3
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• pp.237-244
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• 2019

In this study, we applied terahertz imaging technology to three Korean modern oil paintings ('Boy,' 'Girl,' and 'Hyehwadong Landscape'); investigated the types of inner layer information in the pictures that can be extracted with terahertz imaging technology; and analyzed the conditions for extracting them. The biggest problem in the terahertz imaging analysis we encountered was the image distortion caused by the change of the distance between the target surface and the terahertz detector, depending on the surface curvature of the target paintings. We then developed a 'working distance maintaining device' to solve this problem. As a result, the terahertz imaging technique was used to identify the base material characteristics and any patterns of damage inside, and presented the optimal conditions for identifying each characteristic. In addition, it was useful to employ the terahertz frequency-division image to check the characteristics of the background materials. To confirm coloring techniques such as brush strokes, it is effective to compare the maximum reflection peak image with the cross-section image; and to detect damage information inside the paintings that cannot be observed on the surface, to compare the cross-section image with the frequency-division image. On the other hand, according to the terahertz imaging analysis of the oil paintings, the internal structural damage marks of 'Boy' and 'Girl' were confirmed, and the artist's painting style was confirmed in 'Hyehwadong Landscape.' The above results are expected to be useful for the analysis and diagnosis of Korean modern oil paintings for their preservation.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• 월간낙농육우
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• v.36 no.1
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• pp.141-143
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• 2016

"우와! 멋지다, 정말 장관이네!" 연신 감탄사를 내면서 우리는 달리는 전용차량 유리에 이마를 맞대고 카메라 셔터를 눌렀다. 집 떠나온 지 16시간이 흐른 후 펼쳐지는 이색 풍경에 우리 눈들이 호강을 하고 있었다. 여성낙농인 선진지 연수를 앞두고 남아있는 식구들을 위해 김치, 국거리, 밑반찬 등을 분주하게 준비하면서도 입가에는 미소가 떠나지 않았다. 그러나 한편으로는 식구와 젖소들에게 미안한 마음이 들었다. 내 생전에 유럽이라니!! 정말 믿기지 않았지만 내 눈에는 이미 바다보다 낮은, 작지만 강한 나라인 네덜란드의 광활한 초지 위에 유유히 거닐며 아그작 아그작 풀 뜯는 소들이 비춰지고 있었다. 여성상위국가라고 하니 왠지 내 마음에 더욱 좋은 이미지로 남을 듯싶다.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.5
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• pp.82-93
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• 2008

This research focused on the process in which 'the same scenery' is recognized and represented as 'a different landscape' to determine the symbols and meaning of the scenery and landscape included in real-scenery landscape paintings of the 18th-19th centuries. As a result of analyzing the visual points, the content and expressions of 25 real-scenery landscape paintings of Chong Seok Jeong(叢石亭), it can be seen that the transmission of a kind of semiotic landscape on the basis of a specific symbol was accomplished naturally through imitation and representation for the purpose of the expression of Chong Seok Jeong-like idealized scenery. This shows that the unique images of Chong Seok Jeong have long been passed down after taking root as a unique benchmark The meaningful symbol of 'a strange Saseonbong(四仙峰)', which is broken by the spray after rising high, and 'a pine forest' have both been transmitted as being in the manner of Chong Seok Jeong. This has been equipped with the stereo-type scene by being a collective symbolization as the psycho-scenes in memory element of Chong Seok Jeong. Through the pictures of both Gyeomjae(謙齋) and Danweon(檀園), the process by which a specific painter's pictures become acculturated is highly interesting. The scenery expressed in these pictures was clearly that of a landscape of which its particularly emotions and remembrances were repainted through the experience of several places and original sketches. This can be explained as the concept in which the image from 'a specific scenery' gained through actual experience, that is, a personal feeling, has been expressed. The picture that was expressed as a different figure even at the same visual point for the same scenery is the result that was redefined through the scenery subject's recognition. Also, the modification of the scenery object can be colorful through meditation and Sachu(邪推: guessing with wicked doubt). The scenery recognized newly through adoption, omission and emphasis, it is 'the specific scenery' in the heart and is a figure having been more similar to 'a landscape' if the objective life reproduction before being acculturated is a figure similar to the scenery. So, the concept looks like being very persuasive that 'the nature with objectivity captured sensuously' simply is the scenery, and that 'the subjective phenomenon having acquired the cultural nature by being introspected in the method of aesthetic nostalgia is a landscape'.