• Asia Marketing Journal
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• v.22 no.4
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• pp.63-78
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• 2021

In 2020, the unexpected pandemic scenario has led to a downfall of live concerts performances, after the government restriction for events and gatherings with a large number of people. The Korean-Pop (K-Pop) group BTS (Bangtan sonyeondan) also had their concert tour canceled in 2020. Therefore, the group came up with an innovative project to the music market, called "BangBangCon: The Live", a live streaming paid concert held by the group, on June 14^th, which achieved a Guinness World Record for most viewers during a paid music concert, in a live streaming format. It's important, then, to study this event, and initiate a debate about alternative ideas for marketing strategies with live streaming music performances. The method to accomplish this research was desk research, analysing all the communication delivered from BTS, studying the website and platform where the event "BangBangCon: The Live'' was held, and researching about the results the event has achieved. The results were the description of the event as a project, informing how many people have attended the event, and what were the marketing strategies that made it possible to become the highest audience to a paid live streaming concert, until the moment this article was published.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.60-72
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• 2020

The recent surge in live streaming has also changed the market for classical performing arts. Now more than just recording live performances, content specific to live streaming platforms is being produced, and live streaming is emerging as a new alternative to promoting and enjoying classical performances. Therefore, this study empirically analyzed the effect of service quality factors of the classical live streaming performance on the viewer satisfaction and the purchase intention of the on-site performance over the data collected from 198 viewers. Results suggest that, among the service quality factors of the classic live streaming performance, video content, convenience, and price, except for real-time interaction, affected the viewer satisfaction, and viewer satisfaction in turn affected the purchase intention of the on-site performance. Thus the publicity effect of live streaming for classical performing arts seemed to be proved.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.75-82
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• 2021

Online action detection (OAD) in a streaming video is an attractive research area that has aroused interest lately. Although most studies for action understanding have considered action recognition in well-trimmed videos and offline temporal action detection in untrimmed videos, online action detection methods are required to monitor action occurrences in streaming videos. OAD predicts action probabilities for a current frame or frame sequence using a fixed-sized video segment, including past and current frames. In this article, we discuss deep learning-based OAD models. In addition, we investigated OAD evaluation methodologies, including benchmark datasets and performance measures, and compared the performances of the presented OAD models.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.33-48
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• 2020

By Digital Transformation, new technologies like ML (Machine Learning), Big Data, Cloud, VR/AR are being used to video streaming technology. We choose ML to provide optimal QoE (Quality of Experience) in various network conditions. In other words, ML helps DASH in providing non-stopping video streaming. In DASH, the source video is segmented into short duration chunks of 2-10 seconds, each of which is encoded at several different bitrate levels and resolutions. We built and compared the performances of five prototypes after applying five different machine learning algorithms to DASH. The prototype consists of a dash.js, a video processing server, web servers, data sets, and five machine learning models.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.5
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• pp.137-144
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• 2021

The IETF has recently been standardizing the QUIC protocol for HTTP/3 services. It is noted that HTTP/3 uses QUIC as the underlying protocol, whereas HTTP/1.1 and HTTP/2 are based on TCP. Differently from TCP, the QUIC uses 0-RTT or 1-RTT transmissions to reduce the connection establishment delays of TCP and SCTP. Moreover, to solve the head-of-line blocking problem, QUIC uses the multi-streaming feature. In addition, QUIC provides various features, including the connection migration, and it is available at the Chrome browser. In this paper, we analyze the performance of QUIC for HTTP-based web and streaming services by comparing with the existing TCP and Streaming Control Transmission Protocol (SCTP) in the network environments with different link delays and packet error rates. From the experimental results, we can see that QUIC provides better throughputs than TCP and SCTP, and the gaps of performances get larger, as the link delays and packet error rates increase.

• Journal of KIISE:Databases
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• v.33 no.6
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• pp.600-619
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• 2006

According to recent technical advances on sensors and mobile devices, processing of data streams generated by the devices is becoming an important research issue. The data stream of real values obtained at continuous time points is called streaming time-series. Due to the unique features of streaming time-series that are different from those of traditional time-series, similarity matching problem on the streaming time-series should be solved in a new way. In this paper, we propose an efficient algorithm for streaming time- series matching problem that supports normalization transform. While the existing algorithms compare streaming time-series without any transform, the algorithm proposed in the paper compares them after they are normalization-transformed. The normalization transform is useful for finding time-series that have similar fluctuation trends even though they consist of distant element values. The major contributions of this paper are as follows. (1) By using a theorem presented in the context of subsequence matching that supports normalization transform[4], we propose a simple algorithm for solving the problem. (2) For improving search performance, we extend the simple algorithm to use $k\;({\geq}\;1)$ indexes. (3) For a given k, for achieving optimal search performance of the extended algorithm, we present an approximation method for choosing k window sizes to construct k indexes. (4) Based on the notion of continuity[8] on streaming time-series, we further extend our algorithm so that it can simultaneously obtain the search results for $m\;({\geq}\;1)$ time points from present $t_0$ to a time point $(t_0+m-1)$ in the near future by retrieving the index only once. (5) Through a series of experiments, we compare search performances of the algorithms proposed in this paper, and show their performance trends according to k and m values. To the best of our knowledge, since there has been no algorithm that solves the same problem presented in this paper, we compare search performances of our algorithms with the sequential scan algorithm. The experiment result showed that our algorithms outperformed the sequential scan algorithm by up to 13.2 times. The performances of our algorithms should be more improved, as k is increased.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.842-854
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• 2021

Performing industries in Korea and abroad have been attempting a wide range of artistic experiments utilizing online platforms ever since the Covid-19 pandemic. Accordingly, this study will shed light on the functional characteristics of Zoom, which was used as a creative tool for theater performances. At first, after examining theater performances presented in Korea and abroad using Zoom and their characteristics, the production stage of the Zoom play will be analyzed by dividing it into following stages; a research-based pre-production stage, a scene workshop stage that composes each scene based on the script, a recording stage filming each scene on Zoom, and Streaming stage for presenting the show. Furthermore, the actor's approaches to acting in this production process was presumed to be separation of gaze, re-recognition of space, utilization of expressive gestures, and reaction as an active action. As a result, it proposes the possibility of ongoing development of theatrical work using Zoom and the evolutionary aspect of actor's acting approaches in accordance with theatrical work via Zoom.

• ETRI Journal
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• v.44 no.1
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• pp.62-72
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• 2022

In this study, we propose a multi-GPU-based 8KVR stitching system that operates in real time on both local and cloud machine environments. The proposed system first obtains multiple 4 K video inputs, decodes them, and generates a stitched 8KVR video stream in real time. The generated 8KVR video stream can be downloaded and rendered omnidirectionally in player apps on smartphones, tablets, and head-mounted displays. To speed up processing, we adopt group-of-pictures-based distributed decoding/encoding and buffering with the NV12 format, along with multi-GPU-based parallel processing. Furthermore, we develop several algorithms such as equirectangular projection-based color correction, real-time CG overlay, and object motion-based seam estimation and correction, to improve the stitching quality. From experiments in both local and cloud machine environments, we confirm the feasibility of the proposed 8KVR stitching system with stitching speed of up to 83.7 fps for six-channel and 62.7 fps for eight-channel inputs. In addition, in an 8KVR live streaming test on the 5G MEC/cloud, the proposed system achieves stable performances with 8 K@30 fps in both indoor and outdoor environments, even during motion.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.113-121
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• 2009

As a DRM is recently being removed from many sites, the content protection on a video server becomes important. However, many protection methods have their own limitations, or aren't used due to the deterioration of the streaming performance. This paper proposes a content protection method that uses both the eCryptFS and the SELinux at the same time, and measures the performance of the proposed method by using various benchmarks. Then, this paper verifies that the method doesn't significantly decrease the streaming performance although the proposed method decreases the other performances, so it can be used for the content protection in a multimedia system.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.54-58
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• 2007

A real-time frame-layer rate control algorithm with a token bucket traffic shaper is proposed for distortion variation minimization. The proposed rate control method uses a non-iterative optimization method for low computational complexity, and performs bit allocation at the frame level to minimize the average distortion over an entire sequence as well as variations in distortion between frames. The proposed algorithm does not produce time delay from encoding, and is suitable for real-time low-complexity video encoder. Experimental results indicate that the proposed control method provides better visual and PSNR performances than the existing rate control method.