• Journal of Fashion Business
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• v.21 no.2
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• pp.45-60
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• 2017

This study analyzed the type of format and content expression of fashion films, from the perspective of promotion and advertisement. For the analysis, a reference research and case study were employed. Our results showed that the format type of fashion films are categorized as movie type; films that convey a story through lines and provide an interesting element as well as artistic value;, video clip films which consist of intriguing sections in a short-length film;, animation type; films that deliver a message through the virtualized world and a created character;, and music video fashion films that use the musical technique to convey how the story of fashion film is structured. The type of content expression of fashion films are divided into direct expression, which exposes the collection of clothes and accessories directly in fashion films;, metaphorical type; which visually delivers the brand image and product;, and the documentary type; that delivers the brand story and historical facts related to the brand. The study on the analysis of fashion films through type of format and content expression shows how fashion brands effectively and strongly promote their products, enhance their brand values, and increase an interest among the customers.

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1041-1048
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• 2003

This paper implements a remote image based metering(IBM) system which capture meter image, recognizes number automatically, and send the data wirelessly through PCS data network. We use existing gas/water meter and get NTSC camera image by installing small monochrome CMOS camera on the meter closely. For remote data transfer, we use SMS (short message service) that is provided by commercial PCS network. We developed DVR(digital video recorder) for capturing meter image and character recognition algorithm. In addition, hardware and software for SMS and meter selector were developed.

• Trans-
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• v.13
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• pp.91-116
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• 2022

Web series, as one of the products in the network era, are different from traditional TV dramas, With the contents preferred by youngsters, wed series, as a form of fast food culture, are increasingly gaining popularity, such as being uploaded on online video platforms like Naver TV and Youtube. This study aims to examine the characteristics of narrative closure and continuing serial form of Youth Web Series through the youth web series production company "playlist original" in Korea and analyze the narrative structure caused by narrative closure and continuing serial form and nonlinear narratives.

• The Journal of Information Systems
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• v.32 no.2
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• pp.177-190
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• 2023

Purpose Recently, as a new business marketing tool, short form content focused on fun and interest has been shared as hashtags. By extracting positive and negative keywords from media audiences through comment analysis of social media news, various stakeholders aim to quickly and easily grasp users' opinions on major news. Design/methodology/approach YouTube videos were searched using the YouTube Data API and the results were collected. Video comments were crawled and implemented as HTML elements, and the collection results were checked on the web page. The collected data consisted of video thumbnails, titles, contents, and comments. Comments were word tokenized with the R program, comparing positive and negative dictionaries, and then quantifying polarity. In addition, social network analysis was conducted using divided positive and negative comments, and the results of centrality analysis and visualization were confirmed. Findings Social media users' opinions on issue news were confirmed by analyzing and visualizing the centrality of keywords through social network analysis by dividing comments into positive and negative. As a result of the analysis, it was found that negative objective reviews had the highest effect on information usefulness. In this way, previous studies have been reaffirmed that online negative information has a strong effect on personal decision-making. Corporate marketers will analyze user comments on social network services (SNS) to detect negative opinions about products or corporate images, which will serve as an opportunity to satisfy customers' needs.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.8-15
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• 2024

The development of the Internet and mobile technology has brought various changes to society. In particular, the growth of video platforms such as YouTube has allowed those who have watched videos through legacy media to enjoy videos freely at the time and place they want. The freedom of time and space, consequently, has changed content use behavior, causing a paradigm shift in media consumption. It has brought unprecedented changes in media consumption patterns such as vertical media, and short-form content. Starting with the new social and cultural changes brought about by the YouTube platform, this paper aims to examine the changes in newly emerged MCN companies and the media industry. In particular, this paper shall examine in depth the implementation of novel revenue diversification strategies by MCN companies, who are aware the limitations of advertising revenue received from YouTube. Such revenue diversification strategies of MCN companies appear to be excellent examples to understand and analyze trends in management strategies, as well as new marketing strategies in the digital age. By examining the changed media industry's latest corporate management strategies, it is possible to derive two implications: management insight and sociological insight.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.10
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• pp.3475-3489
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• 2014

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.23-29
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• 2014

The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.8
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• pp.232-237
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• 2013

A newly developed fall detection algorithm using the HMM (Hidden Markov Model) extracted from the video is introduced. To distinguish between the fall from personal difference fall pattern or the normal activities of daily living (ADL), HMM machine learning algorithm is used. For getting fall feature vector of video, the motion vector from the optical flow is applied to the PCA (Principal Component Analysis). The combination of the angle, ratio of long-short axis, velocity from results of PCA make the new fall feature parameters. These parameters were applied to the HMM and the results were compared and analyzed. Among the newly proposed various kinds of fall parameters, the angle of movement showed the best results. The results show that this parameter can distinguish various types of fall from ADLs with 91.5% sensitivity and 88.01% specificity.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1260-1274
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• 2016

To obtain good summarization algorithms, we need first understand how people summarize videos. 'Semantic gap' refers to the gap between semantics implied in video summarization algorithms and what people actually infer from watching videos. We hypothesized that ERP responses to real time videos will show either N400 effects to topic-irrelevant shots in the 300∼500ms time-range after stimulus on-set or P600 effects to topic-relevant shots in the 500∼700ms time range. We recruited 32 participants in the EEG experiment, asking them to focus on the topic of short videos and to memorize relevant shots to the topic of the video. After analysing real time videos based on the participants' rating information, we obtained the following t-test result, showing N400 effects on PF1, F7, F3, C3, Cz, T7, and FT7 positions on the left and central hemisphere, and P600 effects on PF1, C3, Cz, and FCz on the left and central hemisphere and C4, FC4, P8, and TP8 on the right. A further 3-way MANOVA test with repeated measures of topic-relevance, hemisphere, and electrode positions showed significant interaction effects, implying that the left hemisphere at central, frontal, and pre-frontal positions were sensitive in detecting topic-relevant shots while watching real time videos.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.550-557
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• 2019

The Film Development Fund was established in 2007 to improve the quality of film arts and promote the Korean film and video industry. As a key resource operated by the Korean Film Council, the film development fund provides various projects including support for the promotion of Korean film creation and production, funding in video-specialized investment associations, export and international exchanges of Korean films, and production of small-scale or short films. This study aims to propose ways to reinvent the film development fund, which is in danger of being depleted. Based on such purpose this study examined the status and problems of the current film development fund and reviewed previous literatures and related discussions. Furthermore, the policies of similar overseas organizations for film promotion including French National Film/Video Center (Centre National du Cinema et de l'image $anim{\acute{e}}e$, CNC) and the British Film Institute (BFI) were reviewed to draw a multi-faceted way to replenish the source of revenue for Korean film development fund.