• Journal of Korea Multimedia Society
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• v.19 no.10
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• pp.1782-1791
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• 2016

Various color spaces such as RGB, HSV, log-chromaticity have been used in the field of person re-identification. However, not enough studies have been done to find suitable color space for the re-identification. This paper reviews color invariance of color spaces by diagonal model and explores the suitability of each color space in the application of person re-identification. It also proposes a method for person re-identification based on a histogram refinement technique and some fusion strategies of color spaces. Two public datasets (ALOI and ImageLab) were used for the suitability test on color space and the ImageLab dataset was used for evaluating the feasibility of the proposed method for person re-identification. Experimental results show that RGB and HSV are more suitable for the re-identification problem than other color spaces such as normalized RGB and log-chromaticity. The cumulative recognition rates up to the third rank under RGB and HSV were 79.3% and 83.6% respectively. Furthermore, the fusion strategy using max score showed performance improvement of 16% or more. These results show that the proposed method is more effective than some other methods that use single color space in person re-identification.

• Journal of the Korean Society of Food Culture
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• v.5 no.4
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• pp.473-480
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• 1990

Three sensory evaluations were conducted to assess the effect of food color on flavor identification. Elementary students and women university students served as subjects for three evaluations of hard candies, in order to assess color preference, to examine the effect of atypical color on flavor identification and to examine the acceptability of harmony between the color and the perceived flavor. Results showed that inappropriate coloring of the three flavored hard candies induced flavor responses that are normally associated with that color and decreased the acceptability. In addition, the acceptability of colorless candies is lower than that of colored candies. It is suggested from it that when there is no color on the product, even atypical color, it`s harder to identify the flavor and to get a high grade in its preference.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.396-399
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• 2009

In this paper, we present a method to define a color similarity between color images using Octree-based quantization and similar color integration. The proposed method defines major colors from each image using Octree-based quantization. Two color palettes to consist of major colors are compared based on Euclidean distance and similar color bins between palettes are matched. Multiple matched color bins are integrated and major colors are adjusted. Color histogram based on the color palette is constructed for each image and the difference between two histograms is computed by the weighted Euclidean distance between the matched color bins in consideration of the frequency of each bin. As an experiment to validate the usefulness, we discriminated the same clothing from CCD camera images based on the proposed color similarity analysis. We retrieved the same clothing images with the success rate of 88 % using only color analysis without texture analysis.

• Korean Institute of Interior Design Journal
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• v.15 no.1 s.54
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• pp.147-157
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• 2006

The purpose of this study is to fond out the characteristics of color perception and preferred color scheme of the aged who becomes color weak due to yellowed eye sight. For this, this study was composed of two steps. First, an experimental simulation on aged vision using Spectrophotometer(CM-2600d, Minolta) attached Y-2 filter as a quasi lenses of the aged eye. The color data of 120 color chips of the aged vision was measured and analyzed to grasp the characteristics of color perception of the age. Then, a questionnaire survey was carried out with color chips and 8 interior color schemes. They participated in a questionnaire survey of the level of identification among the color chips of 11 tones of R, G, PB, as well as a survey of the preference color schemes. The result of this study are as follow; 1) The range of color perception on hue narrowed into YR, Y, GY, G. Especially, the aged have failed perception of B${\cdot}$PB${\cdot}$P${\cdot}$RP(short wave length of light) by yellowed eye sight. 2) The level of identification among the color chips of 11 tones of R,G,PB are different by each color. But Very Pale, Pale, Strong, Vivid are fractionated similarly in almost color. 3) In the preference of interior color scheme of the aged, preference color harmony scheme Is the complementary color scheme that is easy for identification, rather than analogous color scheme. The preferred dominant color is warm color rather than cool color.

• Journal of Korea Multimedia Society
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• v.11 no.6
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• pp.764-776
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• 2008

Image identification is the process of checking whether the query image is the transformed version of the specific original image or not. In this paper, image identification method based on feature composition is proposed. Used features include color distance, texture information and average pixel intensity. We extract color characteristics using color distance and texture information by Modified Generalized Symmetry Transform as well as average intensity of each pixel as features. Individual feature is quantized adaptively to be used as bins of histogram. The histogram is normalized according to data type and it is used as the signature in comparing the query image with database images. In matching part, Manhattan distance is used for measuring distance between two signatures. To evaluate the performance of the proposed method, independent test and accuracy test are achieved. In independent test, 60,433 images are used to evaluate the ability of discrimination between different images. And 4,002 original images and its 29 transformed versions are used in accuracy test, which evaluate the ability that the proposed algorithm can find the original image correctly when some transforms was applied in original image. Experiment results show that the proposed identification method has good performance in accuracy test. And the proposed method is very useful in real environment because of its high accuracy and fast matching capacity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.289-292
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• 2007

An object color identification and classification embedded system realization for uninhabited stock management is presented in this paper. The embedded system is realized by using ultrasonic sensor to extract the object and distance, and detecting binary image from USB CCD camera. The algorithm is identified by comparing the reference pattern with the color pattern of input image, and move to the settled rack at the store. The experimental result leads to use the uninhibited stock management with practice as a robot.

• Journal of the Korean Society of Food Culture
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• v.30 no.2
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• pp.182-189
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• 2015

This study assessed the effect of color marketing in the RTD coffee industry in Korea. In order to investigate the effect of color marketing, this study measured the characteristics of color marketing as well as brand image and attitude in accordance with behavioral intention to purchase. Data were collected using questionnaires, and a total of 310 questionnaires were distributed with 298 entered for data analysis. Frequency analysis, factor analysis, correlation, and multiple regression analysis were tested using SPSS. A total of seven factors were extracted, including brand attitude, purchase intention, association, identification, brand awareness, symbolism, and attention. Significances were found between brand awareness and identification (p<0.001) and attention (p<0.001). In the relationship between characteristics of colors and brand attitude, significances were found in identification (p<0.001), attention (p<0.001), and association (p<0.001). Further, brand attitude and brand awareness had a significant positive effect on purchasing intention of RTD coffee. Results of this study suggested that color marketing is a good marketing tool to persuade potential consumers to purchase RTD coffee based on brand attitude and brand awareness.

• Journal of Broadcast Engineering
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• v.14 no.4
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• pp.397-408
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• 2009

In this paper, we present a non-static color histogram method to retrieve clothing images that are similar to a query clothing. Given clothing area, our method automatically extracts major colors by using the octree-based quantization approach[16]. Then, a color palette that is composed of the major colors is generated. The feature of each clothing, which can be either a query or a database clothing image, is represented as a color histogram based on its color palette. We define the match color bins between two possibly different color palettes, and unify the color palettes by merging or deleting some color bins if necessary. The similarity between two histograms is measured by using the weighted Euclidean distance between the match color bins, where the weight is derived from the frequency of each bin. We compare our method with previous histogram matching methods through experiments. Compared to HSV cumulative histogram-based approach, our method improves the retrieval precision by 13.7 % with less number of color bins.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.103-109
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• 2010

As color was used for formative language since a human activity was beginning, all the symptoms in the world that the human eye can see is present. In this paper, we identify Korea traditional color harmony for extracted key frames from scene change detection. Traditional color is classified as 5-Jung-color and 5-Kan-color, and determine whether to harmony. Red, blue, yellow, black, and white, called 5-Jung-color and pink, blue, purple, sulfur, and green, called the 5-Kan-color was identified. First, we extract edge using Canny algorithm. And, we are labeling and clustering colors around the edge. Finally, we identify the traditional color using identification method of traditional color harmony. The proposed study in this paper has been proven through experiments.

• Journal of the Semiconductor & Display Technology
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• v.11 no.4
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• pp.49-55
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• 2012

This paper proposes an efficient method of object identification and localization for image recognition. The new proposed algorithm utilizes correlogram back-projection in the YCbCr chromaticity components to handle the problem of sub-region querying. Utilizing similar spatial color information enables users to detect and locate primary location and candidate regions accurately, without the need for additional information about the number of objects. Comparing this proposed algorithm to existing methods, experimental results show that improvement of 21% was observed. These results reveal that color correlogram is markedly more effective than color histogram for this task. Main contribution of this paper is that a different way of treating color spaces and a histogram measure, which involves information on spatial color, are applied in object localization. This approach opens up new opportunities for object detection for the use in the area of interactive image and 2-D based augmented reality.