• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.251-258
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• 2011

Nowadays, 'fusion style' television programs are increasingly found in the production of television program. Originally such a trend has been developed with a purpose of changing tedious cultural program into entertaining style. Recently, however, it has also become as an alternative style of genre which is against from lasciviousness or lewdness of entertaining programs. This study is designed to analyse the characteristics of television production and theorize a producing process of the television genre-over program As a result of various aspects of research, it is found that recent producers who make genre-over program choose any kind of genre which is thought to be needed for their program, without any limitation in terms of methods or skills for specific genre. And with this change of concept for making programs, genre-over programs are newly defined as the entertaining programs, in which its entertaining function is widen and broaden, absorbing the informative function of cultural programs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.51-59
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• 2010

There have been proposed several movie recommendation algorithms based on Collaborative Filtering(CF). CF decides neighbors whose ratings are the most similar to each other and it predicts how well users will like new movies, based on ratings from neighbors. This paper proposes a new method to improve the result predicted by CF based on genres of the movies seen by users. The proposed method can be combined to the most of all existing CF algorithms. In this paper, a performance evaluation has been conducted between an existing simple CF algorithm and CF-Genre that is the proposed genre-based method added to the CF algorithm. The result shows that CF-Genre improves 3.3% in prediction performance over existing CF algorithms.

• 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 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.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.91-102
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• 2016

This paper investigates the relationship between the Pay TV subscriber's genre preference and VOD purchase by analyzing actual purchase data of movie VOD of IPTV subscribers for 8 months. The result shows as follows. First, in case of purchasing movie contents below 4000 won, user's genre preference was higher than that of using contents over 4,000 won. This means the subscribers tend to follow their genre preference when the mass-typed recommendation is limited. Second, those who purchase foreign contents show higher genre preference than those who purchase domestic movies. Third, subscribers who purchase more frequently and much more tend to use more diverse genres. Heavy users or those who have higher willingness to pay would consume more diverse contents. It implies that VOD use would increase by supplying the personal recommendation service based on the subscriber's genre preference.

• Journal of Korea Game Society
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• v.17 no.5
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• pp.27-38
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• 2017

The purpose of this study is to analyze the game dynamics of 'Battle Royale' genre and how these dynamics create dramatic tension, focused on . Battle Royale games maintain the dramatic tension through the intersection of uncertainty and inevitability. Uncertainty is reinforced by randomness of the game world and hidden information of player statement. Inevitability is emerged from the level design with choke point, and restriction of playable field over time. From this mechanism, Battle Royale genre establishes the gameness which derives player's meaningful choice and maintains player's tension until the end of the game.

• Journal of Korea Multimedia Society
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• v.13 no.8
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• pp.1256-1262
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• 2010

The game has been rapidly evolving through various media such as computer, console game machine, cellular phone and PMP based on the advanced development of scientific technology. In terms of demand, the interest in and desire to consume the game as a way of spending people's spare time have been on the increase constantly while the level of income has been improved. Eventually, the game has gradually expanded its scope of supply and demand, has established its own status as one of the media that is scientifically-intensive and has been developed into a game industry, a large-scale industry. Unlike image media, the methods of exposure in PPL are varied in accordance with the genre of games. This study divides the causes that have influence over the effect of PPL in the game into the genre of game and the skill of gamer. The results of the experiment on how much the aforementioned two elements have influence over the effect of PPL are as in the following: It has been demonstrated that the effect of PPL could appear different according to the genre of game and the skill of gamer on the game. Besides, the genre of game that is dynamic in its screen change in the game has relatively lower effect of PPL than that is not dynamic. Meanwhile, the persons who are highly skilled in the game have higher degree of recognition and preference to the inserted PPL than those who are lowly skilled. In this regard, it has given us a theoretical ground that the fees system for PPL ads should be established variously in accordance with the genre of game and the level of online game users.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.271-278
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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 sign processing approach. From the 20 seconds query audio file, the audio signal is segmented into 23ms frame with non-overlapped hamming window and 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 can verify the superior performance of the proposed method that provides near 90% success rate for the genre classification which means 10%∼20% improvements over the previous methods. For the case of actual user system environment, feature vector is extracted from the random interval of the query audio and it shows overall 80% success rate except extreme cases of beginning and ending portion of the query audio file.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.707-715
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• 2016

The most important role of actors is to transmit the thoughts and feelings to the audience or viewers. The expression methods of acting of each genre are clearly different. In order for the actors to act, crossing over the boundary of each genre such as movies, TV, dramas, musicals, they should understand the characteristics of each of the subdivided genres. If they understand the characteristics of the acting method different from one another and acquire the expression method to adapt to the spatial circumstances of each of the media, it becomes freer to act, crossing over the boundary of each of the genres. For the sake of this, actors must understand and acquire the characteristics of each of the genres. First of all, it is important to understand the difference between acting in the media and acting on the stage and to understand the characteristics of each of the genres.

• English Language & Literature Teaching
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• v.16 no.4
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• pp.223-238
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• 2010

This article analyzes and discusses M.M. Bakhtin's dialogics with the perspectives of what it emphasizes and how it makes the Russian Formalism and the Marxist literary theory together in his dialogics. This article considers conversion in the literary texts the central idea of dialogics, and it takes place through satire and parody. As Bakhtin stresses in his works, this article also examines the novel as the dominant genre in the nineteenth and twentieth centuries. Such satire and parody shows the ambivalence of the Russian Formalism and the Marxist literary theory. Bakhtin states that novel per se is very conversing. It has turned over the position that has been occupied by epics (poetry) and play for thousands years, and taken it over in the nineteenth century. Thus, novel is a literary genre in which a variety of conversing struggles occur throughout the texts, which makes it different from epics and play. Throughout such analyses and discussions, this paper considers Bakhtin's dialogics a complex of semantic, pragmatic, and semiotic elements.