• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.813-826
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• 2019

This paper is a study on the implementation of MAM(Media Asset Management) to utilize UHD contents as high quality broadcast material. The implementation method of this paper is to separate MAM roles with content management functions and transmission workflow functions from workflow, metadata and system interface related work, which are divided into core MAM and MAM-Ex structure. Through the method proposed in this paper, we improved the content management method by applying the page menu method to the material metadata modification and applying the template method to the material structure API. In addition, the storage of UHD material and the configuration of the component server are pooled without any distinction of channels, thereby enhancing the security of UHD transmission assets by minimizing the movement of contents together with broadcasting material protection.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1145-1149
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• 2009

In the 1960s, light art using neon or fluorescent lamp, etc and 'light and space art' appeared with kinetic art. Light art that is an extension of kinetic art tends to be digitalized art and focus on movement, while light and space art emphasizes psychological side and focuses more on phenomenal experience than movement itself. Light art generally tends to offer visual play, but light and space art offers not only visual play but also deep impression on audience's mind. In this paper, LED control method using sound and how color change influences people's mind are studied based on my works try to supplement shortcoming of light art. The main goal of my work is to make more effective and empathic interaction between audience and light in order to avoid cold and mechanical impressions that light art has. Based on its contents, this study seeks method to stimulate people's emotion, and suggests applying mentality on the color and sound interaction together to media art. In conclusion, it is believed that new model of media art is suggested through this study.

• Journal of Korea Multimedia Society
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• v.14 no.3
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• pp.423-432
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• 2011

In a warehouse, because there exist frequent changes of stock status and the quality of some contents are influenced by the environment such as temperature, fast and accurate management of the warehouse's environment is very important for Warehouse Management Systems (WMS). However, due to the absence of a unified standard for the communication protocol between RFID nodes, the connection between RFID nodes can be broken in case of movement of a RFID reader to a region with a different protocol. Moreover, centralized MAC schemes for RFID communications in previous studies have severe problems. For an example, if a cluster header disappears from the cluster due to the cluster header's movement or bad channel conditions, the RFID member nodes of the cluster waste lots of time and energy to re-elect a new cluster header. Therefore, in this paper, we propose a WiMedia Distributed MAC (D-MAC) scheme for RFID communications and its cooperative relay transmission scheme for WMS applications Simulation results show performance improvement at the RFID node by using the proposed cooperative relay transmission scheme.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.369-379
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• 2018

The current study started from the constant internal fight women usually have due to the portrayal of women in advertisement in different socio-cultural backgrounds, a comparison between Latin America and South Korea was held to find the different approaches. And also test the effects of an overwhelming movement that is looking to change history and change the perception of images of constructed beauty and unattainable physical standards called The Body Positivity Movement, using the examples of prominent brands like Dove and Victoria's Secret's advertisements and the AIDA model as the instrument. Male and female in their 30's from South Korea and Latin America have been interviewed to show the differences of opinions.

• Smart Media Journal
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• v.2 no.1
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• pp.27-30
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• 2013

In this paper, we research the hand tracking and calibration algorithm using the EPIC sensor. We analyze the characteristics of EPIC sensor to be more sensitive in the around E-filed, and then we implement the 2-dimensional axis-transformation using the difference of detected amplitude between EPIC sensors. In addition, we implement the calibration algorithm considering the characteristics of EPIC sensor, and then we apply the Kalman filter to efficiently track a target. Thus, we implement the environment of window applications for verification and analysis the implemented algorithm. In turn, we use the DAQ API to extract the analog data. The DAQ hardware has the function of measuring and generating an electrical signal. Moreover, we confirm the movement of mouse cursor by detecting the potential difference depending on the movement of the user's hands.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.41-50
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• 2020

Acting is an act of expressing personality, image, sound, tempo, and movement flexibility in order to effectively express fictional characters in the play. It is said to refer to the action or mood of the person performing the character. In addition, all these acts are important elements of the media that the director wants to convey the subject of the work to the audience. In particular, the actor relies on the ambience, image and passionate role of winning and losing in theatrical film. In addition, more than 60% of the afterimages or remaining images in the film are images of the actor's acting or movement, and the trend of the actor. This study is not about acting divided by Conti, who is under the control of directors and directors. The purpose of this study is to analyze the aesthetic response and analyze the inner half of the suspense in the act and to help influence the expression that is effective in expressing the play.

• Smart Media Journal
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• v.12 no.7
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• pp.18-26
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• 2023

In this study, we propose a cow behavior recognition system based on YOLOX and OC-SORT. YOLO X detects targets in real-time and provides information on cow location and behavior. The OC-SORT module tracks cows in the video and assigns unique IDs. The quantitative analysis module analyzes the behavior and location information of cows. Experimental results show that our system demonstrates high accuracy and precision in target detection and tracking. The average precision (AP) of YOLOX was 82.2%, the average recall (AR) was 85.5%, the number of parameters was 54.15M, and the computation was 194.16GFLOPs. OC-SORT was able to maintain high-precision real-time target tracking in complex environments and occlusion situations. By analyzing changes in cow movement and frequency of mounting behavior, our system can help more accurately discern the estrus behavior of cows.

• Smart Media Journal
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• v.12 no.7
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• pp.59-67
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• 2023

Recently, research on behavior analysis tracking human posture and movement has been actively conducted. In particular, OpenPose, an open-source software developed by CMU in 2017, is a representative method for estimating human appearance and behavior. OpenPose can detect and estimate various body parts of a person, such as height, face, and hands in real-time, making it applicable to various fields such as smart healthcare, exercise training, security systems, and medical fields. In this paper, we propose a method for classifying four exercise movements - Squat, Walk, Wave, and Fall-down - which are most commonly performed by users in the gym, using OpenPose-based deep learning models, DNN and CNN. The training data is collected by capturing the user's movements through recorded videos and real-time camera captures. The collected dataset undergoes preprocessing using OpenPose. The preprocessed dataset is then used to train the proposed DNN and CNN models for exercise movement classification. The performance errors of the proposed models are evaluated using MSE, RMSE, and MAE. The performance evaluation results showed that the proposed DNN model outperformed the proposed CNN model.

• Journal of Platform Technology
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• v.11 no.1
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• pp.38-51
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• 2023

We propose an intelligent interface algorithm using hand gesture recognition information based on artificial intelligence. This method is functionally an interface that recognizes various motions quickly and intelligently by using MediaPipe and artificial intelligence techniques such as KNN, LSTM, and CNN to track and recognize user hand gestures. To evaluate the performance of the proposed algorithm, it is applied to a self-made 2D top-view racing game and robot control. As a result of applying the algorithm, it was possible to control various movements of the virtual object in the game in detail and robustly. And the result of applying the algorithm to the robot control in the real world, it was possible to control movement, stop, left turn, and right turn. In addition, by controlling the main character of the game and the robot in the real world at the same time, the optimized motion was implemented as an intelligent interface for controlling the coexistence space of virtual and real world. The proposed algorithm enables sophisticated control according to natural and intuitive characteristics using the body and fine movement recognition of fingers, and has the advantage of being skilled in a short period of time, so it can be used as basic data for developing intelligent user interfaces.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.109-114
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• 2008

We have long kept our Cartesian tradition in which Mind privileges over Body; the invention of printing technology has accelerated the tradition in which the intelligence and legibility of media were considered as a higher human value. However, the development of media and technology are supporting the multisensory mechanisms of the body as it was in preliterate era when we communicated with our whole bodily experiences. The development and spread of mass-media and new technologies have broaden the boundary of human sensory that are largely dominated by visual information and expanded it to auditory, olfactory and even gustatory sensation. Since 1960's, some philosophers and artists have recognized the human body as a subjective matter, starting the movement in which the body plays a role as an essential factor in study of human perception and cognition, aesthetics in art, and sociology, and the changed perspectives are practiced vigorously in the field of new media art; the theory of Maurice Merleau-Ponty who clarified the body as a general means for the body's possession of world, so that recognize the importance of cognition of one's body and approved the embodiment could be applied and practiced here. Therefore, we discuss how Merleau-Ponty's philosophical theory can be practiced and how McLuhan's perspective could be applied on the notion of body's extension in media by analysing some new media art cases.