• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.75-81
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• 2016

The main characters play leading roles in novels. In the previous studies, they recognize the main characters in a novel mainly based on dictionaries that built beforehand. In English, names begin with upper cases and are used with some words. In this paper, we propose a recognition method for main characters name in Korean novels by using predicates, rules and weights. We first recognize candidates for the characters name by predicates and propose some rules to exclude candidates that cannot be characters. We assign importances for candidates, considering weights that given by the number of candidates appeared in a sentence. Finally, if the importance of the character is more than a threshold, we decide that the character is one of main characters. The results from the experiments for 300 novels show that an average accuracy is 85.97%. The main characters name may be used to grasp relationships among characters, character's action and tendency.

• Journal of Information Technology Applications and Management
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• v.29 no.4
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• pp.51-60
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• 2022

This study was conducted on characters who play the main character of the spin-off work based on the image in the original. Through the analysis of the original and spin-off works, the role type and characteristics according to the characters' roles were analyzed. It was analyzed that Rex, Bo Peep, and Forky, the main characters of the Toy Story spin-off works, had characteristics described in the original, which were not the main characters, and changed when they appeared in the spin-off works. First, it shows a tendency to add a new personality to play the role of the main character who solves problems and leads the story development while maintaining the existing personality characteristics in the original. Second, in order to play the main character in the spin-off work, these main characters are strongly revealed in the characteristics of the faithful type 6, and the achiever type 3, respectively. The reason why the characters' personality in the existing original have continuity is that if the personality of the existing characters change rapidly, they may contradict the audience's existing perception, preventing them from being immersed in the spin-off protagonist itself and the story development. However, the main characteristics of personality type 6 and personality type 3 are described only by considering the character's role as a helper to solve the problem and the characters' characteristics, but in order to solve the problem in spin-off, the animation producers are determined to achieve the goal. An understanding of this result will greatly help animation producers plan the character in consideration.

• Korean journal of communication and information
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• v.49
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• pp.122-143
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• 2010

This study is designed to figure out what kind of female images TV dramas have represented from 2000 to 2007 and what kind of relationship these images and the actual roles the female characters perform have in the drama. The total number of dramas analyzed is 27, and 152 female characters are analyzed. The result finds that 45% among 152 characters is in her 20's, and most of them play the main roles. Only 4 dramas use 3,40's female characters as main figures. Most 4,50 female characters play mother or grand mother roles of main characters, and they usually interrupt main character's love relationships or don't play any meaningful roles for the narrative. The old female characters over her 60's tend to play foolish and ridiculous roles and don't show any physical charms. The female main characters are beautiful and young, and the more they play good roles, they have better natural beauty comparing the bad characters. The youth and beauty of main characters helps the owner to earn the love of main male characters. It's obvious that the dramas show that female's body as physical capital to achieve higher class and power.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.9-17
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• 2021

Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.71-79
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• 2012

In Japan, the number of late night animations has increased from the 2000s. In 2010, it exceeded the number of other Japanese animations playing between 6:00 to 23:00 (pre-late night). People watching these late night animations were mostly adolescents or older. Late night animations involve various niche themes, however, the ranges of the main characters' actions of these stories were narrower and more limited compared to the pre-late night animations. The causes for these differences in the scales of the settings were found by comparing the late night and pre-late night animations. The most popular animations from these two time slots were used in the analysis. Firstly, the main characters' ways of approaching their goals were analyzed. Secondly, the settings and directions that the main characters used were analyzed. Lastly, the main characters' degree of interactions with other people was analyzed. As a result of the analysis, the main characters' goals from the late night animations were often found to be commonplace and they tended to achieve their goals by very realistic means. In addition to that, the stories of these main characters revolved around small and familiar communities. Thus, their connections with people were comparatively smaller than those of pre-late night animations and were based upon shared interests. In other words, the differences in the scales of the settings between the two types of animations resulted from the stories of the late night animations revolving mainly around reality, communities, and relationships within the communities.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.376-382
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• 2010

We propose a novel method to precisely detect car license plates by locating main characters, which are printed with large font size. The regions of the main characters are directly detected without detecting the plate region boundaries, so that license regions can be detected more precisely than by other existing methods. To generate a binary image, multiple thresholds are applied, and segmented regions are selected from multiple binarized images by a criterion of size and compactness. We do not employ any character matching methods, so that many candidates for main character groups are detected; thus, we use a neural network to reject non-main character groups from the candidates. The relation of the character regions and the intensity statistics are used as the input to the neural network for classification. The detection performance has been investigated on real images captured under various illumination conditions for 1000 vehicles. 980 plates were correctly detected, and almost all non-detected plates were so stained that their characters could not be isolated for character recognition. In addition, the processing time is fast enough for a commercial automatic license plate recognition system. Therefore, the proposed method can be used for recognition systems with high performance and fast processing.

• Journal of Popular Narrative
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• v.26 no.3
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• pp.255-288
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• 2020

The purpose of this study is to propose 'plot lamination methodology' for planning and analyzing of storytelling. The story contents with a certain volume of narrative might have several important characters. Most of the characters have meaningful influences on the context of the story through their choices and actions as they go through dynamic changes to construct and deconstruct relationships. The plot lamination methodology is the result of an attempt to look at the process from the 'strategic' point of view by focusing on the fact that the main characters with supplementary nature contribute to the independent formation of subplot based on the main plot driven by the protagonist. Regardless of how they live their own unique and autonomous life in the narrative, the main characters hold a relatively subordinate position within the centripetal force of the main plot. Their journeys tend to expand/emphasize/divide up the process of the main plot's 'persuasion via causality,' and also individualize into the functions of emotional sympathy (pathos), moral, ethical perspective (ethos), and rational logic (logos). As such, the subplots of main characters are laminated according to these three functional traits, which could become multi-layered through second or third laminations, depending on the number and roles of other characters. If the plot lamination methodology is further developed through follow-up studies, it will open up the possibilities of the strategic design (planning) and aesthetic criticism (analysis) regarding the procedure of conjugation /branching of subplot and/from the main plot.

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.104-120
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• 2004

Animation character market in Korea has been dominated by licensed characters (e.g., Walt Disney′s) of which market share is 80%. While market share for Korean characters such as "Mashimaro" and "Little Dinosaur Dooly" is increasing, the application of such characters to fashion products is still limited. For the development of the Korean character market, application of original animation characters should be applied to various fashion products. The main purpose of this study was to design toddler apparel line using "Little Dinosaur Dooly," one of the most popular domestic animation characters. The design focus is the green color of Dooly because the color is the distinctive concept of the brand. Results of the study indicated that developing toddler apparel line with a Korean animation character was a meaningful attempt, as imported licensed characters were dominant in domestic fashion market. The key differentiating factor was the use of green color. In addition, use of various supporting characters, namely Dooly′s friends, demonstrated potential line extension forming animation character groups similar to Warner Brothers′"Looney Tunes."

• Journal of architectural history
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• v.7 no.2 s.15
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• pp.9-27
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• 1998

It could be said that the Kyongbok Palace, the main palace of the Chosun Dynasty which built in the early years of the Dynasty, had two main architectural characters. One ; the entire building complex was arranged under the influence of ancient Chinese building principle based on the Confucian ideas. Two ; building compositions and shape of each buildings were succeeded from the palace of the former Koryo Dynasty, especially on the latter periods of it. The architecture of the Kyongbok Palace had formed its own uniqueness by developing these two characters.

• IE interfaces
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• v.22 no.4
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• pp.312-316
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• 2009

A questionnaire survey was carried out in order to understand the discomfort when people experience in reading Korean characters of displays. In the survey, 499 respondents (276 males and 223 females), whose ages ranged from 10s to 70s, participated, while 19.6% of the respondents were over 60 years old. The mean visual acuity was 0.93, while it decreased as the age increases from 40s. Approximately 41.4% of the respondents, 98% of them were over 40s, reported that they experienced presbyopia. It was found that the percentage of the respondents who experienced the discomfort much in reading Korean characters significantly increased as the age increases from 40s. The respondents over 40s reported different discomfort experiences according to the type of displays. It was found that the respondents thought that the main reason for the discomfort in reading is related to the character size. The survey results showed that the Korean text in the displays should be designed to be easily readable by the main users.