• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.353-360
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• 2004

The study on scene change detection in the compressed MPEG videos has been done by various approaches. However, most of these approacher accomplished scene change detection by carrying out decoding processes and then by comparing pixels with pixels. This approach it not suitable for real time applications owing to much computing time of decoding processes. Recently, the study on scene change detection algorithms using only information of compressed domain is becoming Increasingly important. In this paper, we propose a sequential access method as an efficient scene change detection algorithm in the compressed domain. According to the type of pictures in the compressed MPEG video streams (divided in I-blocks and each I-block into P-blocks), the proposed algorithm provides effective scene change detection by applying sequential access and block by block mechanism. The proposed sequential access method provides fast and accurate detection operation by reducing checking procedures of unnecessary pictures due to molt of operations in compressed domain and checking by block units. Also, this approach uses optimal algorithm to provide fast and accurate detection operation.

• Journal of the Korean Society of Costume
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• v.64 no.6
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• pp.1-15
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• 2014

In the fashion industry, the thing that shows the latest trends and makes issues is the fashion show. The function of fashion shows is changing from a promotional mean to a method of communication with customers. Recently, some fashion shows have used digital images and omitted traditional parts of a fashion show such as models, stages, garments, music and audiences. In this study, 30 fashion shows that used digital images were selected from the 2000-2010 collections of Paris, Milan, London and New York, and its communication characteristics were analyzed and discussed. The three categories of the communication characteristics are as follows: First, the shows used digital images as stage sceneries or effects to create desired stage effects. The digital images were used as extra tools to reinforce the concept of the fashion show. Second, the fashion shows used real-time videos to extend its presentation into the virtual space. The interactive videos were designed to encourage audiences to actively participate in the show. Third, the digital images were the focus of the show for the internet-only digital fashion shows. Since the Internet is not constrained by time or space, multi-faceted, communication between audiences and fashion designers or among audiences is possible. In addition, the number of audience it can reach is higher than traditional fashion shows. Digital images will be used more often in the fashion shows. In the future, fashion shows will try to become more interactive with audiences through the use of new digital image technology.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.544-554
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• 2012

Screen content refers to images or videos generated by various electronic devices such as computers or mobile phones, whereas natural content refers to images captured by cameras. Screen contents show different statistical characteristics from natural images, so the conventional video codecs which were developed mainly for the coding of natural videos cannot guarantee good coding performances for screen contents. Recently, researches on efficient SCC(Screen Content Coding) are being actively studied, and especially at ongoing JCT-VC(Joint Collaborative Team on Video Coding) meeting for HEVC(High Efficiency Video Coding) standard, SCC issues are being discussed steadily. In this paper, we analyze the performances of high efficient coding tools in HM(HEVC Test Model) on SCC, and present an optimized SCC model based on the analysis results. We also present the characteristics of screen contents and the future research issues as well.

• Journal of the Korean Society of Costume
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• v.59 no.2
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• pp.154-168
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• 2009

This study aims on providing a design technique that expresses aesthetical elements by arranging the analysis of sensual beauty into detailed elements of design from music video outfits by genre of pop music, by observing music videos of female vocalists chosen from each genre of pop music focusing on their fashion. The results of this study are the following. 1. In the genre rock, the sensual beauty of female were expressed with a boyish and neutral style using texture such as leather or denim, and such style had the effect of emphasizing their feminine side even more. 2. In the genre dance music, exposure is extensive compared to other genre using sexy or lingerie look, and I found an ambivalent style of feminism with clothes in the form of drapery using textures such as chiffon and silk, and femme fatale style with textures adhering to the body such as leggings, leotard, and bodysuit. 3. In the genre of rap and hip-hop, clothes from casual and costume-play style were found using training jersey, t-shirt, and denim pants, and emphasized the sensual beauty of women by showing a silhouette with short length and fitting style using shiny textures. 4. In the genre of R&B, there were diverse outfits that suits the characteristics of characters appearing in the stories, or the situation of the story since there are many dramatic representation in the form of story Especially in case of female characters, the feminine side was emphasized staging a feminine style by wearing dresses with the texture of chiffon and silk. Exposure was restrained compared to other genre.

• PNF and Movement
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• v.14 no.3
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• pp.209-217
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• 2016

Purpose: Treatments using a mirror neuron system, such as 3D virtual reality therapy, are used in stroke rehabilitation, but they need to be constructed according to a detailed procedure. The aims of this study were to analyze electroencephalograms (EEG) during relaxation and action while observing first person perspective (1AE) and third person perspective (3AE) videos of the right hand for 20's. Methods: Thirty participants (Male=4, Female=26) were recruited for this study. Participants were selected by a vividness of movement imagery questionnaire (VMIQ). EEG was measured during relaxxation and during action with 1AE and 3AE videos, focusing on the supination and pronation actions of participants' right hands. An absolute mu rhythm, a relatively high alpha power, and a relative beta power were identified. In each group, one-way repeated measures ANOVA was used for statistical analysis. Results: Measurement of absolute mu rhythms was significantly suppressed for both 1AE and 3AE compared with relaxation in C3 and C4 regions. High alpha wave measurements were significantly suppressed for both 1AE and 3AE in all regions, while beta wave measurements were significantly increased only for 3AE in F3 and F4 regions. Conclusion: Based on this study, we suggest that the mirror neuron system is activated during actions accompanied by action observation, especially actions with 3AE video observation, which can be a great therapeutic mathod in stroke rehabilitation.

• Journal of Fashion Business
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• v.24 no.1
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• pp.75-87
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• 2020

The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.

• Child Health Nursing Research
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• v.24 no.2
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• pp.208-219
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• 2018

Purpose: The purpose of this study was to explore nursing students' experiences of debriefing after simulation-based learning and to obtain fundamental data to support the development of effective teaching strategies. Methods: Sixty-seven nursing students participated in this study from April to May, 2017. This was a descriptive study analyzing the content of students' descriptions of structured questions in 3 stages (description, analysis, and application) based on recorded videos. Results: The description stage was classified into 3 categories for problem recognition, 4 categories for the nursing plan, and 6 categories for the nursing intervention. The analysis stage was classified into 6 categories for satisfactory practice, 3 categories for experience and 4 categories for what they learned through practice. The application stage was classified into 5 categories, that were to be mastered, and 6 categories, that were important to recognize. Conclusion: This study succeeded in charaterizing learners' experiences of debriefing. During the debriefing, students watched recorded videos, and we found that self-evaluation through structured questionnaires could be a very effective way to strengthen students' core competencies. Our content analysis of the debriefing is expected to contribute to the development of effective strategies in simulation-based education for students and nurses.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.89-98
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• 2007

For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1A
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• pp.51-56
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• 2012

In order to reduce the complexity of HEVC, we propose a fast mode decision algorithm in depth videos. Since almost CU mode is decided as SKIP mode in depth-continuity regions, we design the algorithm using the property of depth videos. If cost of SKIP is smaller than the multiplication between the threshold for EarlySKIP and average cost of SKIP, EarlySKIP is performed. Otherwise, we calculate Inter $2N{\times}2N$. Then, if motion vector of Inter $2N{\times}2N$ is 0 and variance of CU is smaller than threshold for inter, we skip Inter $2N{\times}N$, Inter $N{\times}2N$. Experimental results show that our proposed algorithm reduces the encoding time from 39% to 82% with negligible PSNR loss and bitrate increase.

• Journal of Internet Computing and Services
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• v.5 no.1
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• pp.15-23
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• 2004

This paper presents distributive web-caching technique on the Head-End-Network (HNET) to solve excessive load of multimedia sever and inefficient use of network resources, The proposed web-caching is not concentration of load for a specific Head-End-Node(HEN), and it has advantage that there is no copy of a specific item on distributive HENs. This technique distributively stores on HENs partial streams of requested videos from clients connected to HENs and the order of store streams follows the order of request of identical video items from HENs. Thus, storing streams on each HEN that requests sevice are different. When a client requests the cached video on some HENs, the HEN that connects him receives streams in the order of store from HENs which stored them and it transmits them to him. These procedures are performed under the control of SA. This technique uses cache replacement algorithm that the combination of LFU, LRU and the last remove for the first stream of videos In order to reduce end-to-end delay.