• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.26-33
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• 2014

Video retrieval and indexing are performed by comparing feature similarities between key frames in shot after detecting a scene change and extracting key frames from the shot. Typical image features such as color, shape, and texture are used in content-based video and image retrieval. Many approaches for integrating these features have been studied. However, the issue of these approaches is how to appropriately assign weighting of key frame features at query time. Therefore, we propose a new video retrieval method using adaptively weighted image features. We performed computer simulations in test databases which consist of various kinds of key frames. The experimental results show that the proposed method has better performance than previous works in respect to several performance evaluations such as precision vs. recall, retrieval efficiency, and ranking measure.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.239-248
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• 2010

Leukocyte in blood smear image provides significant information to doctors for diagnosis of patient health status. Therefore, it is necessary step to separate leukocyte from blood smear image among various blood cells for early disease prediction. In this paper, we present a saliency map and stepwise region merging based leukocyte segmentation method. Since leukocyte region has salient color and texture, we create a saliency map using these feature map. Saliency map is used for sub-image separation. Then, clustering is performed on each sub-image using mean-shift. After mean-shift is applied, stepwise region-merging is applied to particle clusters to obtain final leukocyte nucleus. The experimental results show that our system can indeed improve segmentation performance compared to previous researches with average accuracy rate of 71%.

• Journal of Korea Multimedia Society
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• v.10 no.7
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• pp.846-855
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• 2007

Significant feature extraction in cancer cell image analysis is an important process for grading cell carcinoma. In this study, we propose a method for 3D quantitative analysis of cell nuclei based upon digital image cytometry. First, we acquired volumetric renal cell carcinoma data for each grade using confocal laser scanning microscopy and segmented cell nuclei employing color features based upon a supervised teaming scheme. For 3D visualization, we used a contour-based method for surface rendering and a 3D texture mapping method for volume rendering. We then defined and extracted the 3D morphological features of cell nuclei. To evaluate what quantitative features of 3D analysis could contribute to diagnostic information, we analyzed the statistical significance of the extracted 3D features in each grade using an analysis of variance (ANOVA). Finally, we compared the 2D with the 3D features of cell nuclei and analyzed the correlations between them. We found statistically significant correlations between nuclear grade and 3D morphological features. The proposed method has potential for use as fundamental research in developing a new nuclear grading system for accurate diagnosis and prediction of prognosis.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.8
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• pp.1353-1364
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• 1997

The purpose of this study is to present a theoretical framework for analysis and interpretation of medieval look in fashion by investigating its aesthetic values. Accordingly, it would provide a better understanding of the medieval culture with its composite aspects. Modernism sought to make the Middle Ages in its own image.'New Medievalism' has on the whole tried to avoid reading the Middle Ages onto the modern world. Instead it designates a predisposition about the discipline of medieval studies broadly conceived. Consequently, it has changed the viewpoint of medieval culture from the one-sided angle into the diversified one. As recent studies based on New Medievalism have argued, a close look at the medieval culture revealed the dualistic nature of it, with contradictory aspects such as piety and secularity, ideality and formality coexisting. The characteristics of the medieval culture are categorized to asceticism, naturalism, mysticism and secularism. Asceticism, which is responsible for the melancholic and heavy atmosphere of the medieval culture, is related to christianity and despair of life. It is expressed in medieval dress in forms of body-concealing semi-fitted silhouette, coarse texture and dark color. As a reaction to the extreme splendor and exposure of recent fashion, the ascetic medieval look is attracting attention. The monastic look is characterized by body-concealing silhouettes and minimalized usage of colors and details. Naturalism is the feature seeking for purity of the nature and the human itself. It appears in terms of line as a smooth curve flowing along the body contours, or as a revival style of the Greco-Roman drapery in the medieval dress. Naturalism in the medieval look of the late 20th century fashion is expressed as a pure image with the use of sheer and soft fabric to form a smooth curve flowing along the body contours. Mysticism symbolizes the authority of the Christ and the glory of heaven. It is presented in the medieval dress of the body-concealing straight silhouette made of gorgeous fabrics, brilliant colors and decorations by gems and gold. The insecurity caused by the fin-de-siecle mood is creating a strong interest in religion and it is reflected in fashion as a medieval look reviving the solemn and magnificent style of the medieval dress. Secularism is a reflection of the medieval mind of indulging in the beauty of the mundane world. Heraldry and excessive decorations of the medieval dress are forms of this secularism. These styles of gorgeousness are being refined into a new medieval look of the 1990's. The medieval look of the modern fashion is featured in various styles, reflecting the pluralism of the postmodern society.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.429-436
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• 2023

Traditional Chinese music has a deep indigenous color and has its own unique way of thinking and characteristics. A consensus has already been formed that linear thinking is a major feature of traditional Chinese music, and it has been implemented in both traditional multi-tone and single-tone music. It is mainly expressed in the form of single-tone music or single-tone music. This linear thought of traditional Chinese music is formed by influencing factors in various fields. For example, it is related to national culture, geographical and natural environment, religious and philosophical background, traditional Chinese notation, individual characteristics of traditional musical instruments, Yulje, composition, and transmission methods. This thinking is different from Western classical music that pursues three-dimensional thinking, and Western music emphasizes the harmony of harmony, harmony of tone and texture, logic and identity of structure, and emphasizes the aspect of space. However, traditional Chinese music emphasizes the horizontal development of melody, the fluency of ancestors, and the continuity of structure. We aims to analyze the causes of linear thinking of traditional Chinese music so that it can be more useful in educational aspects and promote the succession and development of traditional music by transferring knowledge of ethnic music.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.12
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• pp.519-524
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• 2023

In hashing-based image retrieval, the hash code of a manipulated image is different from the original image, making it difficult to search for the same image. This paper proposes and evaluates a self-supervised deephashing model that generates perceptual hash codes from feature information such as texture, shape, and color of images. The comparison models are autoencoder-based variational inference models, but the encoder is designed with a fully connected layer, convolutional neural network, and transformer modules. The proposed model is a variational inference model that includes a SimAM module of extracting geometric patterns and positional relationships within images. The SimAM module can learn latent vectors highlighting objects or local regions through an energy function using the activation values of neurons and surrounding neurons. The proposed method is a representation learning model that can generate low-dimensional latent vectors from high-dimensional input images, and the latent vectors are binarized into distinguishable hash code. From the experimental results on public datasets such as CIFAR-10, ImageNet, and NUS-WIDE, the proposed model is superior to the comparative model and analyzed to have equivalent performance to the supervised learning-based deephashing model. The proposed model can be used in application systems that require low-dimensional representation of images, such as image search or copyright image determination.

• The Korean Journal of Mycology
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• v.26 no.2 s.85
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• pp.182-186
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• 1998

The result of study on the morphological feature of fruitbody, soil characteristics and enviromental condition of habitat of Tricholoma giganteum in Korea was as follows: The Pileus was $5.5{\sim}28.0\;cm$ in diameter and $1.5{\sim}3.7\;cm$ in thickness, indicating of yellowish white, beige, or ivory color. The lamellae were $18{\sim}20\;mm$ in diameter; the stipe was $9.0{\sim}35.7\;cm$ long and $1.0{\sim}3.0\;cm$ wide. The spores were $3.5{\sim}4.8{\times}5.7{\sim}7.4\;{\mu}m$ in size, ellipsoid, hyaline and the spore deposit white. The basidia were $6.1{\sim}7.0{\times}32.2{\sim}39.2\;{\mu}m$ in size. Cheiloystidia were $3.5{\sim}4.4{\times}30.5{\sim}33.1\;{\mu}m$ in size. Pileipellis were $3.3{\sim}4.4{\times}33.0{\sim}55.0\;{\mu}m$ wide and had clamp connection. Stipitipellis were $2.2{\sim}3.3{\times}88.0{\sim}93.1\;{\mu}m$ in size. Texture of soil in habitate of T. giganteum was silty loam, and organic materials content and available phosphate content in this soil were high as comparision to general soil in Korea. In the time of the mushrooms sprout, the room temperature indicated $25{\sim}27^{\circ}C$, their humidity showed $80{\sim}83%$, and the brightnesses were 328 Lux.