• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.49-55
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• 2019

The character dialogue created by AI is unnatural when compared with human-made dialogue, and it can not reveal the character's personality properly in spite of remarkable development of AI. The purpose of this paper is to classify characters through the linguistic style and to investigate the relation of the specific linguistic style with the personality. We analyzed the dialogues of 92 characters selected from total 60 movies categorized four movie genres, such as romantic comedy, action, comedy and horror/thriller, using Linguistic Inquiry and Word Count (LIWC), a text analysis software. As a result, we confirmed that there is a unique language style according to genre. Especially, we could find that the emotional tone than analytical thinking are two important features to classify. They were analyzed as very important features for classification as the precision and recall is over 78% for romantic comedy and action. However, the precision and recall were 66% and 50% for comedy and horror/thriller. Their impact on classification was less than romantic comedy and action genre. The characters of romantic comedy deal with the affection between men and women using a very high value of emotional tone than analytical thinking. The characters of action genre who need rational judgment to perform mission have much greater analytical thinking than emotional tone. Additionally, in the case of comedy and horror/thriller, we analyzed that they have many kinds of characters and that characters often change their personalities in the story.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.768-771
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• 2004

In this paper, we propose a content-based audio genre classification algorithm that automatically classifies the query audio into five genres such as Classic, Hiphop, Jazz, Rock, Speech using digital signal processing approach. From the 20 second query audio file, 54 dimensional feature vectors, including Spectral Centroid, Rolloff, Flux, LPC, MFCC, is extracted from each query audio. For the classification algorithm, k-NN, Gaussian, GMM classifier is used. In order to choose optimum features from the 54 dimension feature vectors, SFS (Sequential Forward Selection) method is applied to draw 10 dimension optimum features and these are used for the genre classification algorithm. From the experimental result, we verify the superior performance of the SFS method that provides near $90{\%}$ success rate for the genre classification which means $10{\%}$-$20{\%}$ improvements over the previous methods

• Journal of the Korean Society of Fashion and Beauty
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• v.5 no.3
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• pp.92-98
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• 2007

This study analyzes the women's hair style and costume in late Chosun Dynasty appeared in Shin Yoon Bok' genre painting. Conclusions are as follows; First, in case of woman costume, the Jergori was short and the Chima was too long. The trend of simplified clothes on upper body and abundant clothes on lower body appeared. In addition, as 'geodulchima' became popular, women came to of en show an erotic beauty by exposing their underwear below chima. Second, in the women's hair style appeared in Shin Yoon Bok' genre painting, a unmarried woman did the braids and a feme covert did 'Ungeon Meori' and 'Tremeori'(a swept-back hair with the chignon) regardless of status. We can imagine the women's hair styles of a higher class who imitated those of 'Kie-sangs' through the features of Kie-sangs who were illustrated by Shin yoon bok.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1524-1534
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• 2022

This study proposes the classification model of Minhwa genre based on object detection of deep learning. To detect unique Korean traditional objects in Minhwa, we construct custom datasets by labeling images using object keywords in Minhwa DB. We train YOLOv5 models with custom datasets, and classify images using predicted object labels result, the output of model training. The algorithm consists of two classification steps: 1) according to the painting technique and 2) genre of Minhwa. Through classifying paintings using this algorithm on the Internet, it is expected that the correct information of Minhwa can be built and provided to users forward.

• Journal of Information Processing Systems
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• v.20 no.1
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• pp.13-23
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• 2024

Music brings pleasure and relaxation to people. Therefore, it is necessary to classify musical genres based on scenes. Identifying favorite musical genres from massive music data is a time-consuming and laborious task. Recent studies have suggested that machine learning algorithms are effective in distinguishing between various musical genres. However, meeting the actual requirements in terms of accuracy or timeliness is challenging. In this study, a hybrid machine learning model that combines a deep residual auto-encoder (DRAE) and support vector machine (SVM) for musical genre recognition was proposed. Eight manually extracted features from the Mel-frequency cepstral coefficients (MFCC) were employed in the preprocessing stage as the hybrid music data source. During the training stage, DRAE was employed to extract feature maps, which were then used as input for the SVM classifier. The experimental results indicated that this method achieved a 91.54% F1-score and 91.58% top-1 accuracy, outperforming existing approaches. This novel approach leverages deep architecture and conventional machine learning algorithms and provides a new horizon for musical genre classification tasks.

• Journal of Broadcast Engineering
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• v.22 no.6
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• pp.693-701
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• 2017

In this paper, we propose a new method for music genre classification using spikegram and deep neural network. The human auditory system encodes the input sound in the time and frequency domain in order to maximize the amount of sound information delivered to the brain using minimum energy and resource. Spikegram is a method of analyzing waveform based on the encoding function of auditory system. In the proposed method, we analyze the signal using spikegram and extract a feature vector composed of key information for the genre classification, which is to be used as the input to the neural network. We measure the performance of music genre classification using the GTZAN dataset consisting of 10 music genres, and confirm that the proposed method provides good performance using a low-dimensional feature vector, compared to the current state-of-the-art methods.

• Journal of Broadcast Engineering
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• v.21 no.6
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• pp.977-985
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• 2016

In this paper, we propose a new method for on-line genre classification using spectrogram and deep neural network. For on-line processing, the proposed method inputs an audio signal for a time period of 1sec and classifies its genre among 3 genres of speech, music, and effect. In order to provide the generality of processing, it uses the spectrogram as a feature vector, instead of MFCC which has been widely used for audio analysis. We measure the performance of genre classification using real TV audio signals, and confirm that the proposed method has better performance than the conventional method for all genres. In particular, it decreases the rate of classification error between music and effect, which often occurs in the conventional method.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.289-300
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• 2016

This study surveys children's costumes and games from the 11 Genre paintings by Junkeun Kim in the book "Korean Games(Stewart Culin 1858-1929)". The character of the general dress-costumes, games and the culture of life from the late $19^{th}$ century in genre painting of Junkeun Kim are as follows. The study results on the games are as follow. The boy's games are kite-flying, spinning tops, playing shuttlecock with the feet, blindman's buff, yut("Four-Stick Game"). Girl's games are seesaw with board, blindman's buff, marbles. Combined games are mount shoulder, sledge, tightrope walking for men with boy. The strengthen one's body type were seesaw with board, tightrope walking, the compete score type were playing shuttlecock with the feet, marbles and the multi complex type were yut("Four-Stick Game"), kite-flying. Through genre painting in the $19^{th}$ century we know a boy's 'Jeogori 'and 'Ba-ji' were similar to a modern man's and boy's 'Hanbok' with a traditional method of wearing. We believe that the originality of a traditional costume was an unchangeable characteristic. Girl's 'Jeogori' and 'Chi-ma' changed in length and width, and method of wearing; however, the basic shape did not change. The analysis for artist's genre painting which was ordered by a foreigner and the late of $19^{th}$ century's children's costume and game of life culture is useful to match the counters and show how to wear a modern Korean costume used to understand the 'Hanbok' and establish a costume of life.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.538-546
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• 2020

This study uses a epidemic film that is being re-illuminated due to the recent appearance of COVID-19. In particular, The flu, Train to Busan, and Deranged are representative works of the "Epidemic Genre" in domestic disaster films, and their performance reports are different. Researcher set the pandemic film as one aspect of the genre film, and analyzed and compared three films in terms of three elements of the genre film: formula, convention, and iconography. An important element in the epidemic film was the improvement of reality through 'suspension of suspense' and 'ambiguity in the epidemic setting'. Lastly, Researcher hope the Korean film industry will develop more deeply through the "Epidemic Genre," a new genre of Korean films that has been spotlighted by the COVID-19 incident.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.41-52
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• 2006

Animation, presenting laughing, tears and inspiration to the audience, can be classified into several genres according to the structure of scenario and storytelling in the same ways as for movie. This classification of scenario genre and scenario writing is based on the writing for a play. Scenario writing and genre classification that were discussed mainly in the movie theory books has been applied to the animation in spite of the difference of the production technique and storylines. Animation finds its academic values as a movie art due to its frame-by-frame filming technique and the diversity in the production. Since the number of scenario writers for animation is much smaller than that of movie in Korea, it is needed to set an academic basis for the classification of genre and scenario writing. In this study, academic basis for the classification of the genre by the analyzing the animation works.