• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.98-105
• /
• 2011

Recent advances in computer technologies support real-time image processing and special effects on personal computers. This paper presents and analyzes a real-time interactive video system. The motivation of this work is to realize an artistic concept that aims at transforming the timeline visual variations in a video of sea water waves into sound in order to provide an audience with an experience of overlapping themselves onto the nature. In practice, the video of sea water waves taken on a beach is processed using an optical flow algorithm in order to extract the information of visual variations between the video frames. This is then masked by the silhouette of an audience and the result is projected on a gallery space. The intensity information is extracted from the resulting video and translated into piano sounds accordingly. This work generates an interactive space realizing the intended concept.

• Journal of Digital Convergence
• /
• v.12 no.12
• /
• pp.357-364
• /
• 2014

There are lots of limits on preventing illegal transaction of digital contents by existing DRM(Digital Right Management) methods because of illegal download and share of contents, which is resulted from advanced information technologies, development of cloud services, and smart instruments. In the other hand, the number of creators based on one person, in the area of music, webtoon, digital magazine and video, is increasing. As a result, it is needed that the necessities of digital contents transaction under the condition of convenience and efficiency through licence and management of contents to protect copyright of contents and to increase the transaction of digital contents. Therefore how to promote the transaction of digital contents should be studied by way of research analysis of contents market through interviewing experts in business.

• Journal of The Korean Association of Information Education
• /
• v.10 no.1
• /
• pp.155-161
• /
• 2006

Robots evolve from tools to information media since they generates information by interacting with human. As studies on robot-aided education are still in a starting phase, attempts need to be made to use robots for educational purposes and to investigate the effects of the use. It was showed that robot-aided learning was friendlier than other media assisted learning, and especially effective for motivating children. We developed the prototype robot Jenny that can help teachers as a educational media in class(i.e. as a T.A. robot, it can present robot contents on its chest to screen and explain about it when teacher asks). is a schoolmate for 5th or 6th grade children or an elder schoolmate for the rest. We performed the field trial at an elementary school. We carried out 9 classes for three subjects(english, korean, music) with -students in $4th{\sim}5th$ grade. They thought Jenny who was 13 years old as an elder schoolmate in 6th grade. Also, a significant difference was found in the interest and concentration of experimental groups from controlled groups.

• The Journal of Korean Association of Computer Education
• /
• v.17 no.4
• /
• pp.23-32
• /
• 2014

The nature of complex modern society inevitably creates intricate problems that can be solved by the computational and logical reasoning. The programming education in Informatics can effectively raise the ability of computational thinking. The paper proposes and evaluates a STEAM curriculum that can draw the interest and attention of students. The curriculum educates the multi-disciplinary knowledge from science, music and informatics, and it was designed to have group discussions with self-directed study. The experiments were performed with $4^{th}{\sim}6^{th}$ grade gifted students in Informatics from elementary schools. The Arduino was used as the experiment environment. The experiment results reveal that the interests in Informatics and programming have been escalated after the STEAM class; 75% of students expressed the surge of interest in computers and 93% of students responded positively to the Arduino-based class. The effectiveness of the experiment outcomes was validated with t-test.

• Journal of the Korean Society for Library and Information Science
• /
• v.48 no.1
• /
• pp.257-276
• /
• 2014

The purpose of this study is to investigate the patterns and barriers of the Internet for the elderly adults in Korea. Data was collected through the face to face interview using a questionnaire for the residence of Daegu and Kyungsang Buk-Do areas targeted over the 60-years-olds elder adults. A total of 119 valid response data were analyzed with the descriptive statistics and the group differences by age and gender using SPSS 18.00. It found that the most of the elder adults access the Internet to seek the entertainment contents, the knowledge-related contents, and the cultural and art contents. They spend most of the Internet online session to do searching information and enjoying movie and music. However, there were age differences and gender differences within the subjects. The complexity of computer and the Internet usage is one of the barriers for the Internet access, and they suggest that a customized education and training courses of computer literacy for the elderly adults would be the ways of resolve those obstructions.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.8
• /
• pp.55-63
• /
• 2020

Recently, people have come to enjoy using movies and music applications, such as YouTube, Netflix, and Watcha Play, on their smart devices while riding public transportation. However, they sometimes miss their destination stations because of these activities. Therefore, in this paper, we propose a disembarking notification system for public city buses using smart devices and high frequencies generated via the buses' speakers. The high frequencies are generated by the public buses' station information broadcasters. Smart devices then analyze the high-frequency signals with their inner microphones, and the proposed application displays a disembarking notification to the user when the user's destination or stop-over station's signal is the same. To evaluate this system's performance, we tested 1,000 real-time disembarking notifications, and the test results showed 98.9% accuracy. Moreover, we compared these results to those using only OpenAPI, and our proposed system featured far better outcomes. Thus, this proposed notification system can prove a useful technology for many people who often use public city buses, as it can notify specific users of their destination stations. Furthermore, this system will become innovative technology for global public transportation by informing users of their desired stations using speakers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.7
• /
• pp.1643-1651
• /
• 2014

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.

• Journal of Digital Contents Society
• /
• v.18 no.5
• /
• pp.811-820
• /
• 2017

For content-based audio retrieval which is one of main functions in audio service, the techniques for extracting fingerprints from the audio source, storing and indexing them in a database are widely used. However, if the fingerprints of new audio sources are continually inserted into the database, there is a problem that space efficiency as well as audio retrieval performance are gradually deteriorated. Therefore, there is a need for techniques to support efficient expansion of audio database without periodic reorganization of the database that would increase the system operation cost. In this paper, we design a content-based audio retrieval system that solves this problem by using MapReduce and NoSQL database in a cluster computing environment based on the Shazam's fingerprinting algorithm, and evaluate its performance through a detailed set of experiments using real world audio data.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.2
• /
• pp.57-65
• /
• 2014

The role of sound in producing 3D animation clip is one of the important factor to maximize the immersive effects of the scene. Especially interaction between video and sound makes the scene expressions more apparent, which is diversely applied in video production. One of these interaction techniques, the out-focussing technique is frequently used in both real video and 3D animation field. But in 3D animation, out-focussing is not easily implemented as in music videos or explosion scenes in real video shots. This paper analyzes the sound data to synchronize the depth of field with it. The novel out-focussing technique is proposed, where the object's field of depth is controlled by beat rhythm in the sound data.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.1 s.45
• /
• pp.51-56
• /
• 2007

Feature functions were used for the classification of music. The spectral roll-off, variance, average peak level, and class were chosen to make up a feature function vector. Among these, it is the spectral roll-off function that has a low-frequency to high-frequency ratio. To find the optimal roll-off point, the roll-off points from 0.05 to 0.95 were swept. The classification success rate was monitored as the roll-off point was being changed. The data that were used for the experiments were taken from the sounds made by a modern violin and a baroque one. Their shapes and sounds are similar, but they differ slightly in sound texture. As such, the data obtained from the sounds of these two kinds of violin can be useful in finding an adequate roll-off point. The optimal roll-off point, as determined through the experiment, was 0.85. At this point, the classification success rate was 85%, which was the highest.