• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.540-550
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• 2002

Electronic Book(eBook) is a publication that stored and processed the contents of a book using digital mechanisms and has advantages such as easiness in saving and searching and the possibility of carrying. To activate Electronic Book which has the advantages mentioned above, studies on related techniques are required and a development of an editor exclusive for eBooks which is appropriate for eBook structure is still not adequate. In this paper, we design and implement Electronic Book editor providing form-based interface for eBook genre-based structure so that it would be easier for users to write. Especially because Electronic Book has genre-based structure due to the characteristic of literature, it is necessary to provide forms for each different genres. Therefore, compared to the problem of having to study XML grammar when writing Electronic Book using the existing XML editor, the proposed system can solve this problem by providing form-based interface. Additionally, with regard to the characteristic of eBook which have structures according to the intention of users, we provided the flexibility of adding dynamic forms to the form provided in default so that it will be more effective in writing Electronic Books. Therefore by providing form-based interface according to the genre and dynamic structure according to the intention of users, Electronic Book can be wrote more easily.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.329-335
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• 2014

Collaborative filtering has been popular in commercial recommender systems, as it successfully implements social behavior of customers by suggesting items that might fit to the interests of a user. So far, most common method to find proper items for recommendation is by searching for similar users and consulting their ratings. This paper suggests a new similarity measure for movie recommendation that is based on genre interest, instead of differences between ratings made by two users as in previous similarity measures. From extensive experiments, the proposed measure is proved to perform significantly better than classic similarity measures in terms of both prediction and recommendation qualities.

• Archives of design research
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• v.16 no.3
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• pp.41-50
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• 2003

Cartoons as one of visual art forms seek the essence of an, which is creation. They also have great ripple effects as popular art and culture. Cartoons as a communication tool by means of visual image give a better understanding thanks to its function of combining messages and animation. That is why cartoons have a unique place in journalism as the function of delivering facts through messages and pictures. MAD, a cartoon magazine for current issues, reveals and harshly criticize social contradictions, thereby eliciting readers'positive response. To effectively utilize cartoons, an approach in phases should be taken. First, different genres should be compared and embraced. And then, when the genre of cartoons enters the stage of expansion or growth, cartoons will become a new visual information medium from the perspective of communication in society and from the perspective of journalism, and literature, design and art in academia.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.153-171
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• 2017

Many readers tend to read books of a specific author and to expand their reading areas according to the author. This study chose Edgar Allan Poe and analyzed the image of the author using co-recommended authors and books by other readers. The frequencies of co-occurred authors and books were investigated and the relations of authors and books were analyzed with network analysis methods. As a result, genre images of Poe, related authors, and related books are discovered. This study also suggested the methods to identify the image of a author, related author groups, and related books for libraries' reading programs and book curation.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.224-231
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• 2013

Defining the concept of prominent audio content as the most informative audio content from the users' perspective within a given unstructured audio segment, we propose a simple but robust intensity-based attack/release pattern features to detect the prominent audio content. We also propose a web-based annotation procedure to retrieve users' subjective perception and annotated 18 hours of video clips across various genres, such as cartoon, movie, news, etc. The experiments with a linear classification method whose models are trained for speech, music, and sound effect demonstrate promising - but varying across the genres of programs - results (e.g., 86.7% weighted accuracy for speech-oriented talk shows and 49.3% weighted accuracy for {action movies}).

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.197-200
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• 2005

본 논문은 유해한 동영상을 실시간으로 분석하고 차단하기 위하여, 동영상의 비주얼 특징으로서 그룹 프레임(Group of Frame) 특징을 추출하여 SVM 학습모델을 활용하는 유해 동영상 분류에 관한 것이다. 지금까지 동영상 분류에 관한 연구는 주로 입력 동영상을 뉴스, 스포츠, 영화, 뮤직 비디오, 상업 비디오 등 사전에 정의한 몇 개의 장르에 자동으로 할당하는 기술이었다. 그러나 이러한 분류 기술은 미리 정의한 장르에 따른 일반적인 분류 모델을 사용하기 때문에 분류의 정확도가 높지 않다. 따라서, 유해 동영상을 실시간으로 자동 분류하기 위해서는, 신속하고 효과적인 동영상 내용분석에 적합한 유해 동영상 특화의 특징 추출과 분류 모델 연구가 필요하다. 본 논문에서는 유해 동영상에 대하여 신속하고, 정확한 분류를 위하여 유해 동영상의 대표 특징으로서 그룹프레임 특징을 정의하고, 이를 추출하여 SVM 학습 모델을 생성하고 분류에 활용하는 매우 높은 성능의 분석 방법을 제시하였다. 이는 최근 인터넷 뿐만 아니라 다양한 매체를 통하여 급속도로 번지고 있는 유해 동영상 차단 분야에 적극 활용될 수 있을 것으로 기대된다.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.481-489
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• 2007

The purpose of this study was to investigate whether there were differences in sound quality among telecommunication service providers(SPs). To avoid the influence of brand of SPs and mobile phone manufacturer, a series of structured experiments was planed. Possible source of sound difference were tested such as specific genres of music, contents providers, mp3 players for PC, and mobile phone manufacturers. The results show there are differences of sound quality among telecommunication service providers(SPs). But the difference comes from contents, mobile phone, and MP3 player for PC. The same model of mobile phone from the manufacturer sounded differently depending on telecommunication service providers(SPs). The genre of music did not show consistent difference in sound quality.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.399-406
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• 2016

Drawn-on-film animation technique is one that neither is actively used nor receives attention in any video content area. This paper means to strengthen animation genre's future direction and aesthetic aspect by seeking to newly discover previous experimental techniques through this paper. Taking into account the details of paper, it was intended to systematize and introduce results and experiential information obtained by researcher from applying drawn-on-film animation techniques in actual educational arena and utilizing these in learning and newly created techniques and the like through this. Production processes were comparatively demonstrated after suggesting an alternative digital production system in this process. And ultimately, a study and proposal was made so as to be helpful in developing the techniques of animation genre.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.316-325
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• 2003

A user preference prediction method using an exiting collaborative filtering technique has used the nearest-neighborhood method based on the user preference about items and has sought the user's similarity from the Pearson correlation coefficient. Therefore, it does not reflect any contents about items and also solve the problem of the sparsity. This study suggests the preference prediction system using the similarity weight granted Bayesian estimated value and the associative user clustering to complement problems of an exiting collaborative preference prediction method. This method suggested in this paper groups the user according to the Genre by using Association Rule Hypergraph Partitioning Algorithm and the new user is classified into one of these Genres by Naive Bayes classifier to slove the problem of sparsity in the collaborative filtering system. Besides, for get the similarity between users belonged to the classified genre and new users, this study allows the different estimated value to item which user vote through Naive Bayes learning. If the preference with estimated value is applied to the exiting Pearson correlation coefficient, it is able to promote the precision of the prediction by reducing the error of the prediction because of missing value. To estimate the performance of suggested method, the suggested method is compared with existing collaborative filtering techniques. As a result, the proposed method is efficient for improving the accuracy of prediction through solving problems of existing collaborative filtering techniques.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.88-95
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• 2002

According to an evolution of digital broadcasting, it is possible that terrestrial and satellite broadcasting media provide multi-channel services. CATV and satellite media have been also extended to hundreds of channels. As the result of channel expanding, viewers came to select lots of channels. But it is difficult that they select the favorite channel among hundreds of channels. In this paper, we propose an efficient automatic method to recommend channels and programs on a viewer's preference in a multi-channel broadcasting receiver like a Set ToP Box(STB). The proposed algorithm selects channels based on the following method. It makes and saves user history data by using MPEG-7 MDS based on the program information a viewer had watched. It recommends programs similar to a viewer's preference based on user history data. It selects the channel in the recommended genre based on the viewer's channel preference. The experimental result shows that the proposed scheme is efficient to select the user preference channel.