• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.45-48
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• 2006

This paper presents an approach to visual information based temporal indexing of video sequences. The objective of this work is the integration of an automatic face detection and a matching system for video indexing. The face detection is done using color information. The matching stage is based on the Principal Component Analysis (PCA) followed by the Minimax Probability Machine (MPM). Using PCA one feature vector is calculated for each face which is detected at the previous stage from the video sequence and MPM is applied to these feature vectors for matching with the training faces which are manually indexed after extracting from video sequences. The integration of the two stages gives good results. The rate of 86.3% correctly classified frames shows the efficiency of our system.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.177-181
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• 2001

본 논문에서는 칼라차 영상을 이용하여 물체들의 움직임을 분석하고 이동 형태들의 대한 RGB 특징 값을 추출하였으며 그 동안 미해결 과제로 남았던 이동 물체들 사이의 영역정합(matching)과 군집화 (clustering)를 이용하여 대응(Correspondence)관계를 확인하는 문제를 해결하여 이동 물체들을 추구하여 보았다.

• Proceedings of the Optical Society of Korea Conference
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• 2007.02a
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• pp.26-27
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• 2007

• Proceedings of the Optical Society of Korea Conference
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• 2006.02a
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• pp.271-272
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• 2006

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.29-36
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• 2023

The purpose of this study is to present basic data for hair color work plans that can consistently produce hair color design products for designers through analysis of gradient techniques among hair color design techniques. The research method was to select 10 photos of women that appeared in mass media from 2022 to September 15, 2023, extract color chips and RGB values using the Eyedropper Tool in Adobe Photoshop CS6, and convert the RGB values of the color chips into Munsell Conversion ( The data was converted into HV/C values of version 12.1.13a). Based on the extracted data, the gradient hair colors of female pop stars were analyzed by displaying the data on a color scale. As a result, in the I.R.I color scheme image scale, the image of female pop stars was more hard than soft. In addition, it was confirmed that the focus was on static rather than dynamic. Color matching images according to hair color were extracted with adjectives such as noble, decent, elegant, and subtle. Three hairstyles were created using this theme.

• Korean Journal of Cognitive Science
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• v.17 no.1
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• pp.29-52
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• 2006

There has been a claim that Interaction between the cerebral hemispheres could reduce the effect interfering information (Weissman & Banich, 1999). We ran three experiments to show that between-hemisphere separation of target and distractor could be more effective for reducing interference than Interaction between the hemispheres. In experiment 1, a colored box and a rotor name were presented to a single or to separate hemispheres. In experiment 2 and 3, a colored circle (distractor) was presented along with a colored box and a color name which was always printed in black. In experiment 3, a peripheral cue was presented either to the target location(66.7%) or to the distractor location(33.3%) Immediately before the presentation of stimuli. In all experiments, the participants were asked to deride whether the moaning of the color matched the rotor of the box, Ignoring the printed rotor of the word(Exp. 1), or the color of the circle(Exp. 2 & 3). There were three renditions of distractor (congruent, incongruent, and neutral) and two conditions of matching (between- and within-hemisphere matching). If interhemispheric interaction were effective for interference reduction, there should be a decrease in the interference in the between-hemisphere compared to the within-hemisphere matching condition. The results showed that there was no difference in the interference between the two matching conditions in Exp 1. In Exp 2 and in the target-cue renditions of Exp. 3, the amount of interference in the between-hemisphere condition was greater than that in the within-hemisphere condition. These findings are consistent with what we have previously reported (Sohn et al., 1996, Sohn & Lee, 2003). However, when the distractor was precued in Exp. 3, the amount of interference did not differ between the two marching conditions. These results suggest that between-hemisphere separation of target and distractor can be more effective for reducing response interference than interhemispheric communication. It implies a possible role of an interhemispheric shielding mechanism (Merola & Liederman, 1985) to prevent the transfer of task-irrelevant, harmful information across the hemispheres.

• Textile Coloration and Finishing
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• v.15 no.4
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• pp.32-38
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• 2003

To get the variety of color by natural dyeing, cotton and silk fabrics were dyed with natural indigo and safflower in turn. The two ways of dyeing processes were carried. First, silk and cotton fabrics were dyed repeatedly in safflower dyebath to five times to get the five fabrics dyed in different shades. And then indigo dyeing process was carried on the top of the dyed fabrics with safflower. In second way, the fabrics were dyed in five stages of shade by repetition of dyeing process in indigo dyebath. And then safflower dyeing was carried on the top of the dyed fabrics with indigo. When indigo dyeing process was added on the top of the fabrics dyed in five shades with safflower, the color differences decreased between five shades of fabrics, their color values got similar in hue, shade and chroma. When safflower dyeing process was added on the top of the fabrics dyed in five shades with indigo, the fabrics showed different hue of colors between red and blue of Munsell color circle such as RP, P and PB. Like almost of fabrics dyed with plants materials, the lightfastness and laundering fastness of dyed samples were poet and drycleaning fastness were good.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.633-643
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• 2009

We propose a color transfer method that used color contrast based templates to express the visual difference clearly between objects, while remaining the quality of the input image. Our algorithm employs colors of both the input image and template distributed on the $a^{\ast}b^{\ast}$chrominance plane of CIE $L^{\ast}a^{\ast}b^{\ast}$color space. The templates are made by considering the effect of color contrast and have the shape of either a line or a curve represented color distribution of the basic colors based gradation image. These tempates can be modeled on spline curves. We also generate simply new templates with the different basic colors by moving the control points of that curve. The color transfer method using the templates is done through a regressive analysis and color matching. We maintained color coherence of the input image by transforming similarly the color distribution of an input image to the one of templates.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.117-128
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• 2011

In this paper, we present a novel approach for contents-based medication image retrieval from a medication image database using the shape classification and color information of the medication. One major problem in developing a contents-based drug image retrieval system is there are too many similar images in shape and color and it makes difficult to identify any specific medication by a single feature of the drug image. To resolve such difficulty in identifying images, we propose a hybrid approach to retrieve a medication image based on shape and color features of the medication. In the first phase of the proposed method we classify the medications by shape of the images. In the second phase, we identify them by color matching between a query image and preclassified images in the first phase. For the shape classification, the shape signature, which is unique shape descriptor of the medication, is extracted from the boundary of the medication. Once images are classified by the shape signature, Hue and Saturation(HS) color model is used to retrieve a most similarly matched medication image from the classified database images with the query image. The proposed system is designed and developed especially for specific population- seniors to browse medication images by using visual information of the medication in a feasible fashion. The experiment shows the proposed automatic image retrieval system is reliable and convenient to identify the medication images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3806-3825
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• 2016

This paper brings out a neoteric frame of reference for visual semantic based 3d video search and retrieval applications. Newfangled 3D retrieval application spotlight on shape analysis like object matching, classification and retrieval not only sticking up entirely with video retrieval. In this ambit, we delve into 3D-CBVR (Content Based Video Retrieval) concept for the first time. For this purpose we intent to hitch on BOVW and Mapreduce in 3D framework. Here, we tried to coalesce shape, color and texture for feature extraction. For this purpose, we have used combination of geometric & topological features for shape and 3D co-occurrence matrix for color and texture. After thriving extraction of local descriptors, TB-PCT (Threshold Based- Predictive Clustering Tree) algorithm is used to generate visual codebook. Further, matching is performed using soft weighting scheme with L₂ distance function. As a final step, retrieved results are ranked according to the Index value and produce results .In order to handle prodigious amount of data and Efficacious retrieval, we have incorporated HDFS in our Intellection. Using 3D video dataset, we fiture the performance of our proposed system which can pan out that the proposed work gives meticulous result and also reduce the time intricacy.