• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.502-506
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• 2010

An augmented book is an application that augments such multimedia elements as virtual 3D objects generated by computer graphics, movie clips, or sound clips to a real book using AR technologies. It is intended to bring additional education and entertainment effects to users. For augmented books, this paper proposes an adaptive keyframe-based page tracking method to estimate the camera's 6 DOF pose in real-time after recognizing a page and performing wide-baseline keypoint matching. For a page tracking, proposed method in this paper chooses a proper keyframe and performs a tracking in two step of coarse-to-fine stage. As a result, the proposed method in this paper guarantees a robust tracking to view-point and illumination variations and real-time.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.31-36
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• 2012

In recent years, there has been increasing interest in recommender systems which provide users with personalized suggestions for products or services. In particular, researches of collaborative filtering analyzing relations between users and items has become more active because of the Netflix Prize competition. This paper presents the reinforcement learning approach for collaborative filtering. By applying reinforcement learning techniques to the movie rating, we discovered the connection between a time sequence of past ratings and current ratings. For this, we first formulated the collaborative filtering problem as a Markov Decision Process. And then we trained the learning model which reflects the connection between the time sequence of past ratings and current ratings using Q-learning. The experimental results indicate that there is a significant effect on current ratings by the time sequence of past ratings.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.58-64
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• 2001

Recently many informations are transmitted ,md stored as video data, and they are on the rapid increase because of popularization of high performance computer and internet. In this paper, to retrieve video data, shots are found through analysis of video stream and the method of detection of key frame is studied. Finally users can retrieve the video efficiently. This Paper suggests a new feature that is robust to object movement in a shot and is not sensitive to change of color in boundary detection of shots, and proposes the characterizing value that reflects the characteristic of kind of video (movie, drama, news, music video etc,). The key frames are pulled out from many frames by using the local minima and maxima of differential of the value. After original frame(not de image) are reconstructed for key frame, indexing process is performed through computing parameters. Key frames that arc similar to user's query image arc retrieved through computing parameters. It is proved that the proposed methods are better than conventional method from experiments. The retrieval accuracy rate is so high in experiments.

• Journal of Digital Contents Society
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• v.3 no.1
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• pp.59-74
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• 2002

Due to rapid advance of wireless communication technology and popularization of wireless devices, demand on wireless internet contents is gradually increasing. Therefore, there are many researches and solution developments to provide good qualified contents quickly for wireless internet. For example, researches into converting wired web contents into wireless web contents or using integrated markup language like XHTML basic to make contents. In this paper, I propose a method to develop XML-based web contents which uses PHP language for data fetch from MySQL database. This method use open source software for a cost saving. Due to use of PHP extension as a XSLT engine, this method is very easy to apply. For a example of this method, a web content of movie information is implemented for PC and PDA browser. Developing XML-based web contents is useful not only for supporting devices of multiple type, but also for rapid changes of user interface design and for exchange of contents between web sites.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.49-63
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• 2020

The accurate prediction of box office in the early stage is crucial for film industry to make better managerial decision. With aims to improve the prediction performance, the purpose of this paper is to evaluate the use of machine learning methods. We tested both classification and regression based methods including k-NN, SVM and Random Forest. We first evaluate input variables, which show that reputation-related information generated during the first two-week period after release is significant. Prediction test results show that regression based methods provides lower prediction error, and Random Forest particularly outperforms other machine learning methods. Regression based method has better prediction power when films have small box office earnings. On the other hand, classification based method works better for predicting large box office earnings.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.3
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• pp.167-173
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• 2017

With increased interest in the fourth industrial revolution represented by artificial intelligence, it has been very active to utilize bigdata and machine learning techniques in almost areas of society. Also, such activities have been realized by development of forecasting systems in various applications. Especially in the movie industry, there have been numerous attempts to predict whether they would be success or not. In the past, most of studies considered only the static factors in the process of prediction, but recently, several efforts are tried to utilize realtime social bigdata produced in SNS. In this paper, we propose the prediction technique utilizing various feedback information such as news articles, blogs and reviews as well as static factors of movies. Additionally, we also experimentally evaluate whether the proposed technique could precisely forecast their revenue targeting on the relatively successful movies.

• Journal of Convergence for Information Technology
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• v.7 no.3
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• pp.127-137
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• 2017

Sally Potter's movie, Orlando is a bold re-make of Virginia Woolf's classic novel, Orlando: A Biography, in which an English nobleman survives 400 years - as a man and then a woman. This paper focuses on a study of the film of Orlando in light of the feministic view. In Woolf's gender-bending, time-traveling novel, Orlando, Woolf probes the ideology of patriarchal society through an androgynous persona. Sally Potter's adroit revision of Woolf's novel not only duplicates Woolf's Orlando but it also catches Woolf's feminism by using cinematic expertise. The film is incredibly true to Woolf's spirit. The most explicit changes were structural so the storyline was simplified. Thus Orlando gives us a license to travel freely from a man to a woman. In short, Orlando is not about feminism but the unity and harmony of male and female.

• Journal of Korea Multimedia Society
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• v.16 no.9
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• pp.1109-1118
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• 2013

Recently, stereoscopic three-dimensional(S3D) movie and video are becoming globally popular. However, there are some people who could not perceive 3D depth information well. Traditional stereopsia test tools could not analyze the subject's perceived depth accurately. Therefore, it is necessary to have a test tool that accurately measures the degree of perceived depth of subjects. In this paper, we suggested a 3D content depth measuring instrument and produced suitable 3D contents for the instrument. We measured subjects' perceived depth of 3D foreground objects in terms of $+1^{\circ}$, $-1^{\circ}$, $-2^{\circ}$ binocular disparity and compared the measured values with the theoretical values. Measured values were slightly bigger than the theoretical values. Deviation between the measured values and theoretical values increased with extrusion distances.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.127-141
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• 2012

With the help of information technology for a film, characteris both the composition of the story and one of the most important elements that lead the story. Character has a close relationship with personality description, and the character's age, background, education, and occupation help decide his or her personality. Charades are important in that by describing a character's psychology using charade techniques, it gives a stronger impression than by describing with merely lines or narration. When a man's thought changes, their behavior changes; when a behavior is repeated, it becomes habit; when a habit is repeated, it becomes nature. The nature is the person's personality, otherwise called character. Therefore, charade techniques describe a character's psychology well, and consequently, it has maintained its importance. Because human nature and in-depth psychological description have a connection with a character's personality development, I would like to discuss the topic through this research. By using Director Shunji Iwai's "April Story" as the text, the effects of charade techniques on a character's personality development in film will be analyzed by seeking and presenting the methodology shown within the work through charade-acting techniques used by the characters for the development of character's personality.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.587-595
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• 2018

This research aims to analyze the importance-performance among multiplex cinema selection attributes. Therefore, we collected data for visitors who visited the multiplex cinema and want to watch movies. Of the various multiplex cinema selection attributes, four factors were deduced that includes: major services, human services, physical environment, auxiliary services using exploratory factor analysis. In the quadrant I, the area of 'Concentrate Here' was 'diversity of screening time', 'diversity of movie genre', 'convenience of mobile app use', 'size and convenience of parking facility'. In the quadrant II, 'Keep up the Good Work' area was 'convenience of website booking', 'discounts through card partnerships', 'employee friendliness', 'accurate employee information delivery', 'comfortable seating', 'screen size', 'cinematic sound quality', and 'convenience of traffic' etc. The quadrant III, 'Low Priority' appeared to be 'membership system', 'tidiness of staff attire', 'resting space for waiting time', 'accessibility to the neighboring area', 'diversity of the snack corner', and 'overall cleanliness' etc. The quadrant IV, 'Possible Overkill' was 'appropriateness of the auditorium temperature' and 'service proficiency'.