• Journal of Broadcast Engineering
• /
• v.16 no.3
• /
• pp.542-551
• /
• 2011

Recently an extension to DMB-AF (Digital Multimedia Broadcasting Application Format) standard was proposed in [1] without sufficient validation for industrial application due to incomplete implementation. The extended DMB-AF can include stereoscopic video and stereoscopic images for interactive service data, i.e., MPEG-4 BIFS data, in addition to the existing 2D video and 2D images for BIFS services. The contents in the extended DMB-AF can provide a temporal mixture of 2D/3D video presentations possibly with or without 2D/3D images for BIFS services. In this paper we developed DMB-AF player software that can play the extended DMB-AF files and authored several test files for its verification. As a result, we introduced a new method for indicating dependencies of 3D media tracks to improve the extension in [1] and validated the extended DMB-AF with the improvement.

• Smart Media Journal
• /
• v.4 no.3
• /
• pp.50-55
• /
• 2015

In this paper, we present background modeling method based on Gaussian mixture model to subtract background for night-time video surveillance. In night-time video, it is hard work to distinguish the object from the background because a background pixel is similar to a object pixel. To solve this problem, we change the pixel of input frame to more advantageous value to make the Gaussian mixture model using scaled histogram stretching in preprocessing step. Using scaled pixel value of input frame, we then exploit GMM to find the ideal background pixelwisely. In case that the pixel of next frame is not included in any Gaussian, the matching test in old GMM method ignores the information of stored background by eliminating the Gaussian distribution with low weight. Therefore we consider the stacked data by applying the difference between the old mean and new pixel intensity to new mean instead of removing the Gaussian with low weight. Some experiments demonstrate that the proposed background modeling method shows the superiority of our algorithm effectively.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.399-404
• /
• 2019

This study proposes a strategy for developing Korean entertainment video service by studying the current status of user's experience of OTT(Over the Top, online video streaming service), mainly Netflix and Watcha Play. Firstly, as case study research, I investigated the features of domestic video streaming services and that of foreign services and K-content service needs. Secondly, I interviewed eight Netflix and Watcha Play users to understand the user experience and the demand for K-content video streaming service. As a result, I was able to derive two points about the strategy. First, isolated channel strategy. Second, content diversification and personalization strategy. This study is meaningful that it presented a strategy for the direction of the Korean entertainment industry. I hope that the follow-up study will help improve the Korean entertainment industry and help develop Korea's entertainment strategy.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.2
• /
• pp.91-97
• /
• 2024

Recently, with the rapid development of digital media technology, Realistic content that stimulates users' five senses is being used in various fields. This study focused on the case of the development of the Korea Industrial Complex Corporation's public relations center as the subject of the study to study the realistic content development process of public enterprises. First, the realistic content development process was divided into 10 stages and practical guidelines were presented to help develop realistic content in the future by presenting important development points and methods at each stage. Second, among the realistic content development processes, the importance of storytelling was analyzed at the scenario stage. Third, various methods of displaying content were analyzed. In the case of the Korea Industrial Complex Corporation's public relations center, it was proposed in three ways: story video, experience video, and media wall. It is suggested that the role of branding, promotion, and PR can be performed in one public relations center through an effective development process.

• Journal of Broadcast Engineering
• /
• v.23 no.5
• /
• pp.693-700
• /
• 2018

In this paper, we propose a wireless video transmission scheme, providing medium and long range communication in the 2.4GHz band with beamforming. With this scheme, it is shown that the transmission rate of 32Mbps and received signal power of -77dBm is achieved with 4 antennas of 5dBi and 16dBm transmit power at each antenna connection for the distance of 3.6km. The scheme also provides transmission distance of 20km for 10~12Mbps with the 4 omni-directional antennas of 5dBi.

• Journal of Broadcast Engineering
• /
• v.15 no.3
• /
• pp.355-361
• /
• 2010

Video Compression is the key technology for the transmission of multi-media data. Because the Motion Estimation is the most complex module in the video compression, fast motion estimation algorithm is essential for the real-time application. In this paper, we propose an enhanced binary motion estimation algorithm based on the wavelet transform. Proposed algorithm improve the quality of coded video.

• Smart Media Journal
• /
• v.1 no.3
• /
• pp.43-47
• /
• 2012

The recent proliferation of multimedia data necessitates the effectively and efficiently retrieving of multimedia data. These research not only focus on the retrieving methods of text matching but also on using the multimedia data features. Therefore, this paper is a similarity measurement method of trajectory using indexing information of moving object in video, for similarity measurement. This method consists of 2 steps. Firstly, Video data is processed indexing for trajectory extraction of moving objects using CCTV. Finally, we describe to compare DTW(Dynamic Time Warping) to TSR(Tansent Space Representation) algorithm.

• Smart Media Journal
• /
• v.9 no.1
• /
• pp.23-29
• /
• 2020

This paper presents an approach for dynamic hand gesture recognition by using algorithm based on 3D Convolutional Neural Network (3D_CNN), which is later extended to 3D Residual Networks (3D_ResNet), and the neural network based key frame selection. Typically, 3D deep neural network is used to classify gestures from the input of image frames, randomly sampled from a video data. In this work, to improve the classification performance, we employ key frames which represent the overall video, as the input of the classification network. The key frames are extracted by SegNet instead of conventional clustering algorithms for video summarization (VSUMM) which require heavy computation. By using a deep neural network, key frame selection can be performed in a real-time system. Experiments are conducted using 3D convolutional kernels such as 3D_CNN, Inflated 3D_CNN (I3D) and 3D_ResNet for gesture classification. Our algorithm achieved up to 97.8% of classification accuracy on the Cambridge gesture dataset. The experimental results show that the proposed approach is efficient and outperforms existing methods.

• Journal of Broadcast Engineering
• /
• v.6 no.3
• /
• pp.215-224
• /
• 2001

In recent days, research activities on multimedia services mainly focus on the multiplexing system with timing synchromization for media components, such as video, audio and text. The MPEG-4 standard emphasizes object-based coding which includes analysis and understanding of the Image content. Since in MPEG-4 we can define objects and encode them independently, we can manipulate and display each object for different applications. This feature of MPEG-4 is also vero useful for multimedia services, such as video streaming cia different network channels, digital versatile disc, internet TV, video E-mail, and so on. In this Paper, we implement a multimedia streaming system which is compliant with the MPEG-4 system and the MP4 file format.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.7
• /
• pp.3184-3190
• /
• 2011

In this paper, we propose a method to detect Iris Round wipe transitions with circular moving borders in digital video data. The suggested method robustly extracts circular moving borders from the input image using improved Hough transform, and finally detects Iris Round wipes by effectively analyzing their moving directions and shapes. In order to evaluate the performance of the suggested algorithm, the experimental results show that the proposed method can effectively detect Iris Rounds with circular moving borders in various video data.