• Culinary science and hospitality research
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• v.17 no.3
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• pp.33-46
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• 2011

This study is concerned with the effect of a brand symbol of a family restaurant on brand image, preference, and purchasing intention. With regard to analysis methods, the study carried out a reliability test and a validity test concerning a precedent research concept, ahead of verifying the hypothesis by using the SPSS Ver. 16.0. Also, the study conducted a frequency analysis, technical analysis, exploratory factor analysis, and regression analysis for verifying the hypothesis. As a result of the research, regarding a brand symbol as a visual symbol, three factors including a functional factor, a value factor, and an aesthetic factor were extracted, and of them, the functional factor and an aesthetic factor were discovered to influence of the brand image and preference which affected purchasing intention. In addition, consumers preferred a logo type that includes a company name or a brand name rather than a picture or a mark type of a symbol regarding a brand symbol, and they answered that outdoor advertising would raise awareness more than TV advertising. Based on these results, using a logo type symbol and the mix of outdoor advertising and TV advertising should be considered for brand launch.

• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.1112-1119
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• 1999

Digital watermarking is to embed imperceptible mark into image, video, audio and text data to prevent the illegal copy of multimedia data, arbitrary modification, and also illegal sales of the copes without agreement of copyright ownership. The DCT(discrete Cosine Transforms) transforms of original image is conducted in this research and these DCT coefficients are expanded by Fourier series expansion algorithm. In order to embed the imperceptible and robust watermark, the Fourier coefficients(lower frequency coefficients) can be calculated using sine and cosine function which have a complete orthogonal basis function, and the watermark is embedded into these coefficients, In the experiment, we can show robustness with respect to image distortion such as JPEG compression, bluring and adding uniform noise. The correlation coefficient are in the range from 0.5467 to 0.9507.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.579-586
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• 2001

Digital watermarking is to embed imperceptible mark into image, video, audio, and text data to prevent the illegal copy of multimedia data. arbitrary modification, and also illegal sales of the copies without agreement of copyright ownership. In this paper, we study for the embedding and extraction of watermark key using wavelet in the luminance signal in order to implement the system to protect the copyright for image MPEG. First, the original image is analyzed into frequency domain by discrete wavelet transform. The RSA(Rivest, Shamir, Aldeman) public key of the coded target is RUN parameter of VLD(variable length coding). Because the high relationship among the adjacent RUN parameters effect the whole image, it prevents non-authorizer not to possess private key from behaving illegally. The Results show that the proposed method provides better moving picture and the distortion more key of insert than direct coded method on low-frequency domain based DCT.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.12A
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• pp.2074-2084
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• 2001

la this paper, a new digital watermarking algorithm using wavelet transform in frequency domain is suggested. The wavelet coefficients of low frequency subband are utilized to embed the watermark, After the original image is transformed using discrete wavelet transform, their coefficients are transformed into efficient1y in Sequency domain. DCT and FFT transforms are utilized in this processing. Watermark image of general image format is transformed using DCT and the hiding watermark into wavelet coefficients is equally distributed in frequency domain. Next, these wavelet coefficients are performed with inverse transform. The detection process of watermark is performed with reverse direction to insertion process. In this paper, we developed core watermark technologies which are a data hiding technology to hide unique logo mark which symbolizes the copyright and a robust protection technology to protect logo data from external attack like as compression, filtering, resampling, cropping. The experimental results show that two suggested watermarking technologies are invisible and robust.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.39 no.2
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• pp.92-98
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• 2003

The quantification of fish school abundance was carried out by using luminance of pixel on scanning sonar image, and compared with the indices of fish school abundance e.g. school number, school area and weighted school area. The survey was carried out in Funka Bay off southern Hokkaido, Japan using research vessel Ushio-Maru during December 1999. A 180-degree scanning sonar with a frequency of 164kHz was used. The school number was counted both left and right 40-degree radial lines from the center of own vessel mark on a scanning image. The school area was measured approximately as an ellipse from the school length and width. The weighted school area was calculated by multiplying school area and average value of inner pixel luminance. A quantification of pixel luminance was also measured to integrate squared pixel luminance value on these lines. Fish school and school bottom were discriminated by the produced sonar echogram using pixel luminance value on these lines. The relationships between the quantified luminance value and other abundance indices such as school area and weighted school area revealed a good correlation. Therefore, the quantified luminance is a useful method in estimating fish school abundance in the acoustic survey using sonar.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.19-27
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• 2021

In this paper, we propose a method for detecting characters in images and detecting facial regions, which consists of two tasks. First, we separate two different characters to detect the face position of the characters in the frame. For fast detection, we use You Only Look Once (YOLO), which finds faces in the image in real time, to extract the location of the face and mark them as object detection boxes. Second, we present three image processing methods to detect accurate face area based on object detection boxes. Each method uses HSV values extracted from the region estimated by the detection figure to detect the face region of the characters, and changes the size and shape of the detection figure to compare the accuracy of each method. Each face detection method is compared and analyzed with comparative data and image processing data for reliability verification. As a result, we achieved the highest accuracy of 87% when using the split rectangular method among circular, rectangular, and split rectangular methods.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.101-108
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• 2013

Slogan is used widely from the political action to the area of advertisement that brings companies and products out. It gives a good image to the public and customers. In addition, the more the attitude of the public or customers is lukewarm, the more the appeal of the slogan is great. With the advent of the 21st century, it is time for the University where students become consumers to establish a groundbreaking brand identity strategy with increasing the university's brand value and awareness in rapidly changing environment. The UI Emblem of the University is related to University's identity and slogan must be fresh and appealing, should reflect the core values of brand. In this study, I researched the design relationship between emblem and slogan, visual elements of the UI which should be designed as a strategic marketing program with change of era and lifestyle and proposed the ideas which create mutual synergy effect.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.7
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• pp.63-70
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• 2006

This paper describes research of using area of artificial mark on vision based head tracker system. A head tracker system consists of the translational and rotational motions which are detected by web camera. Results of the motion are taken from image processing and neural network. Because of the characteristics of cockpit, the specific color on the helmet is tracked for translational motion. And rotational motion is tracked via neural network. Ratio of two different colored area on the helmet is used as input of network. Neural network algorithms used, such as back-propagation and RBFN (Radial Basis Function Network). Both back-propagation using a characteristic of feedback and RBFN using a characteristic of statistics have a good performances for the tracking of nonlinear system such as a head motion. Finally, this paper analyzes and compares with tracking performance.

• Journal of the Korean Society of Food Culture
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• v.29 no.6
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• pp.557-566
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• 2014

The purpose of the study is to determine how consumers perceive certification marks for agricultural products. The study examined three agricultural product certifications, such as the certification of environment-friendly agricultural products, Good Agricultural Procuts (GAP) certification mark, and United States Department of Agriculture (USDA) certification mark. A survey was utilized for data collection from adults over the age of 19 in November, 2013. A total of 390 questionnaires were distributed, and 300 of those were obtained for an analysis of the study. The results were as follows. First, consumers' awareness of, image of, and credibility on the agricultural products with the certification marks were not significantly different among the three certification marks except consumers' awareness. Second, consumers' purchase intentions for and willingness to pay for the agricultural products with the certification marks were not significantly different among the three certification marks. Third, these variables were not significantly different between buying group and non-buying group except consumers' awareness. Lastly, buying group and non-buying group were significantly different only in gender and marital status. The findings offer implications to the food and food service industry regarding consumers' purchase of certified agricultural products. Further, the study enforces the roles of food industry for environment.

• ETRI Journal
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• v.38 no.4
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• pp.767-775
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• 2016

Automatic container code recognition from a captured image is used for tracking and monitoring containers, but often fails when the code is not captured clearly. In this paper, we increase the accuracy of container code recognition using multiple views. A character-level integration method combines recognized codes from different single views to generate a new code. A decision-level integration selects the most probable results from the codes from single views and the new integrated code. The experiment confirmed that the proposed integration works successfully. The recognition from single views achieved an accuracy of around 70% for the test images collected on a working pier, whereas the proposed integration method showed an accuracy of 96%.