Drama Video Research Articles

드라마 “블랙독” 속 사회 초년생 중등 교사의 말행동 분석

The purpose of this study was to analyze the speech act surrounding high school fixed-term Korean language teachers, who are new to society, among the discourse in the drama “Black Dog”(2019-2020), and to examine the process of teachers finding their job identity through various experiences at school. After the researcher directly copied the drama video in the part where the main character appeared, the discourse to be studied was repeatedly reviewed by referring to the drama analysis factors. Therefore, appropriate data were collected and reasonable analysis results were obtained. As a result, a total of four speech act patterns were derived. First, there was a part that “raised firm beliefs” about his educational view. Second, there was a scene in which the main character “experienced trial and error”. Third, there was a part where a fellow teacher, a helper, “advised or led” to the protagonist experiencing trial and error. Fourth, in the process, fixed-term teacher, who was new to society, eventually 'awakened and solved problems'. Through the knowledge, skills, and mindset gained there, he became a true teacher.

Retracted: A Personalized Recommendation Method for Short Drama Videos Based on External Index Features

Retracted: A Personalized Recommendation Method for Short Drama Videos Based on External Index Features

Analisis Kebutuhan Media Pembelajaran Video Drama Pada Kelas XI/F SMAN 7 Padang

This research is part of the research on the development of drama video learning media to train students' chronological thinking skills. This study aims to explain the results of the analysis stage of why video drama media is needed by educators and students in the history learning process at SMAN 7 Padang. This study uses a descriptive qualitative method by using interview and observation techniques to collect and obtain data. The results of this study are in the form of a description of the stage of analyzing the needs of media for learning drama video at XI/F at SMAN 7 Padang on the Padri War material.
 

Project Based Learning dalam Pembelajaran Kaiwa di Masa Pandemi

The purpose of this study is to describe the implementation and results of project based learning (PjBL) in learning kaiwa II at Japanese Language Education Study Department of Faculty of Languages ​​and Arts UNJ during a pandemic to improve kaiketsu nouryoku (problem solving competency), ibunka rikai nouryouku (competence in intercultural understanding), and kadai suikou nouryoku (competence in accomplishing tasks), and also describe students’ responses regarding project based learning in this kaiwa class. This project produced drama scripts and drama videos. Based on the results of the questionnaire, it is known that drama is one of the methods favored by students. From the results of the video recording, it is known that the drama is less natural, but the required learning materials have been fulfilled in the scenario. 68.2% of students stated that it was effective to use PjBL in Kaiwa II learning, but there were also some students who did not know about this project based learning. Thus, the teacher as a facilitator must explain at the beginning of the lecture about PjBL and its usefulness in learning. Furthermore, to meet the demands of KPI in MBKM, this PjBL based drama can be used as an alternative in kaiwa learning.

Implementasi Algoritma Elias Gamma Code Untuk Kompresi File Video Pada Aplikasi Drama Korea

Korean drama application is an application that is useful as a means of entertainment. When the user downloads the Korean drama application video on a smartphone (cellphone) and saves the video file downloaded by the Korean drama, it will produce a large file size. Because in general we do the activity of downloading many Korean drama videos, we get a long video duration. The longer the video duration, the larger the file size will be. Then the large file size will cause problems because it is limited by storage capacity. When you want to send it, it will take a long time to solve this problem, a solution is obtained by compression. The Elias Gamma Code algorithm is a lossless compression technique, which does not remove previous information, where the decompression results of the compressed video are the same as the original video file. By using the Elias Gamma Code algorithm, the Compression Ratio performance is 36%. These results prove that the compression of the downloaded video files by applying the Elias Gamma Code algorithm can reduce the size of large video files to be smaller than the original size.

Effect of a Popular Web Drama Video Series on HIV and Other Sexually Transmitted Infection Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in Singapore: Community-Based, Pragmatic, Randomized Controlled Trial.

BackgroundGay, bisexual, and other men who have sex with men (GBMSM) are at disproportionately higher risk of acquiring HIV and other sexually transmitted infections (STI). While HIV/STI testing rates among GBMSM are increasing worldwide, they remain suboptimal in a variety of settings. While many studies have attempted to evaluate the efficacy of a variety of community-based campaigns, including peer and reminder-based interventions on HIV/STI testing, however few have attempted to do so for a web drama series.ObjectiveThis study evaluates the effectiveness of a popular web drama video series developed by a community-based organization in Singapore for GBMSM on HIV and other STI testing behaviors.MethodsThe study is a pragmatic, randomized controlled trial to evaluate a popular web drama video series developed by a community-based organization in Singapore for GBMSM. A total of 300 HIV-negative, GBMSM men in Singapore aged 18 to 29 years old were recruited and block-randomized into the intervention (n=150) and control arms (n=150). Primary outcomes included changes in self-reported intention to test for, actual testing for, and regularity of testing for HIV, syphilis, chlamydia or gonorrhea, while secondary outcomes include changes in a variety of other knowledge-based and psychosocial measures at the end of the study period.ResultsOverall, 83.3% (125/150) of participants in the intervention arm completed the proof of completion survey, compared to 88.7% (133/150) in the control arm. We found improvements in self-reporting as a regular (at least yearly) tester for HIV (15.9% difference, 95% CI, 3.2% to 28.6%; P=.02), as well as chlamydia or gonorrhea (15.5% difference, 95% CI, 4.2% to 26.9%; P=.009), indicating that the intervention had positively impacted these outcomes compared to the control condition. We also found improvements in participants’ intentions to test for HIV (16.6% difference, 95% CI, 4.3% to 28.9%; P=.009), syphilis (14.8% difference, 95% CI, 3.2% to 26.4%; P=.01), as well as chlamydia or gonorrhea (15.4% difference, 95% CI, 4.2% to 26.6%; P=.008), in the next 3 months, indicating that the intervention was effective in positively impacting intention for HIV and other STI testing among participants.ConclusionsThere are clear benefits for promoting intentions to test regularly and prospectively on a broad scale through this intervention. This intervention also has potential to reach GBMSM who may not have access to conventional HIV and other STI prevention messaging, which have typically been implemented at sex-on-premises venues, bars, clubs, and in sexual health settings frequented by GBMSM. When coupled with community or population-wide structural interventions, the overall impact on testing will likely be significant.Trial RegistrationClinicalTrials.gov NCT04021953; https://clinicaltrials.gov/ct2/show/NCT04021953International Registered Report Identifier (IRRID)RR2-10.1136/bmjopen-2019-033855

A Personalized Recommendation Method for Short Drama Videos Based on External Index Features

Dramatic short videos have quickly gained a huge number of user views in the current short video boom. The information presentation dimension of short videos is higher, and it is easier to be accepted and spread by people. At present, there are a large number of drama short video messages on the Internet. These short video messages have brought serious information overload to users and also brought great challenges to short video operators and video editors. Therefore, how to process short videos quickly has become a research hotspot. The traditional episode recommendation process often adopts collaborative filtering recommendation or content-based recommendation to users, but these methods have certain limitations. Short videos have fast dissemination speed, strong timeliness, and fast hot search speed. These have become the characteristics of short video dissemination. Traditional recommendation methods cannot recommend short videos with high attention and high popularity. To this end, this paper adds external index features to extract short video features and proposes a short video recommendation method based on index features. Using external features to classify and recommend TV series videos, this method can quickly and accurately make recommendations to target customers. Through the experimental analysis, it can be seen that the method in this paper has a good effect.

Operational challenges in the implementation of an anti-stigma campaign in rural Andhra Pradesh, India.

Despite of literature available on mental health-related stigma interventions, little is reported about the operational challenges faced during the planning, implementation and evaluation phases. The Systematic Medical Appraisal, Referral and Treatment Mental Health Project was implemented in 42 villages of the West Godavari district in India. Andersen's Behavioural Model for Health Services Use was adopted to understand the factors influencing anti-stigma campaign delivery and the strategies identified to overcome these challenges. The challenges faced during the planning and implementation phase included distance and time taken for travel by the field staff, inadequate mental health services and infrastructure within communities, engagement of community with the field staff and community's poor mental health literacy and knowledge. Strategies used to overcome these challenges were regular engagement with community stakeholders, understanding mental health literacy levels and seeking inputs from the community regarding campaign design, organizing live drama shows at community's preferred time and place and screening of recorded drama video clips where lives shows were difficult. The evaluation phase posed challenges such as non-availability of key stakeholders and inadequate time and funding to evaluate the entire study population. The reported findings can help in planning and scaling up of the anti-stigma campaign in large trials in similar settings.

Auditory Image Perception and Verbal Brain Subsystems

This paper describes a novel system that uses music emotion and human face as features for automatic highlights extraction for drama video. These high-level audiovisual features are used because music evokes emotion response from the viewer and characters express emotion on their faces. In addition, a novel scheme is developed to improve the accuracy of music emotion recognition in drama video. Specifically, emotion recognition is performed not on the input audio signal but on the noise-free music available from the album of the incidental music, with the presence of incidental music detected by an audio fingerprint technique. Besides the conventional subjective evaluation, we propose a new metric for quantitative performance evaluation of highlights extraction. Experiments conducted over four different types of drama videos demonstrate that the proposed system significantly outperforms baseline ones in terms of both subjective and objective measures.

Effect of a web drama video series on HIV and other sexually transmitted infection testing among gay, bisexual and queer men: study protocol for a community-based, pragmatic randomised controlled trial in Singapore: the People Like Us (PLU) Evaluation Study

IntroductionGay, bisexual and queer (GBQ) men are at disproportionately higher risk of acquiring HIV and other sexually transmitted infections (STI). While HIV/STI testing rates among GBQ men are increasing worldwide,...

Socio Economic Factors Affecting the Use of Solid Waste Compost Produced in Kurunegala and Kundasale Municipalities.

Municipal Solid Waste Compost (MSWC) is popular with organic agriculture in the world. Nearly 100 authorities in Sri Lanka are involved in producing MSWC. Its timely needed to identify the factors affecting the use of MSWC. The Kurunegala and Kundasale municipalities were selected to identify the socio economic factors affecting the use of MSWC. The users (45) and non-users (35) of MSWC were selected using simple random sampling method. Data were collected using questionnaire and key informant interviews. Majority (51%) of the MSWC users were 36-50 years age category and 60% were high income category. Accordingly, 47% MSWC users were vegetable cultivators. Majority (84%) had a higher knowledge on soil fertility nutrient supply and knowledge on method of production and application was at a moderate level. Spearman correlation and multiple linear regression resulted monthly income, cultivated land extent, farming experience and knowledge on method of production and application showed significant relationship with the amount of MSWC use. Discriminant function analysis resulted knowledge on soil fertility, productivity , nutrient supply and attitude on advantage of using MSWC lead to discriminate the MSWC users and non users. Conducting interactive drama, multimedia and promotional videos to promote MSWC among farming community are recommended.

Video Scene Detection Using Compact Bag of Visual Word Models

Video segmentation into shots is the first step for video indexing and searching. Videos shots are mostly very small in duration and do not give meaningful insight of the visual contents. However, grouping of shots based on similar visual contents gives a better understanding of the video scene; grouping of similar shots is known as scene boundary detection or video segmentation into scenes. In this paper, we propose a model for video segmentation into visual scenes using bag of visual word (BoVW) model. Initially, the video is divided into the shots which are later represented by a set of key frames. Key frames are further represented by BoVW feature vectors which are quite short and compact compared to classical BoVW model implementations. Two variations of BoVW model are used: (1) classical BoVW model and (2) Vector of Linearly Aggregated Descriptors (VLAD) which is an extension of classical BoVW model. The similarity of the shots is computed by the distances between their key frames feature vectors within the sliding window of length L, rather comparing each shot with very long lists of shots which has been previously practiced, and the value of L is 4. Experiments on cinematic and drama videos show the effectiveness of our proposed framework. The BoVW is 25000-dimensional vector and VLAD is only 2048-dimensional vector in the proposed model. The BoVW achieves 0.90 segmentation accuracy, whereas VLAD achieves 0.83.

Automatic highlights extraction for drama video using music emotion and human face features

This paper describes a novel system that uses music emotion and human face as features for automatic highlights extraction for drama video. These high-level audiovisual features are used because music evokes emotion response from the viewer and characters express emotion on their faces. In addition, a novel scheme is developed to improve the accuracy of music emotion recognition in drama video. Specifically, emotion recognition is performed not on the input audio signal but on the noise-free music available from the album of the incidental music, with the presence of incidental music detected by an audio fingerprint technique. Besides the conventional subjective evaluation, we propose a new metric for quantitative performance evaluation of highlights extraction. Experiments conducted over four different types of drama videos demonstrate that the proposed system significantly outperforms baseline ones in terms of both subjective and objective measures.

Render me real?

The realistic depiction of lifelike virtual humans has been the goal of many movie makers in the last decade. Recently, films such as Tron: Legacy and The Curious Case of Benjamin Button have produced highly realistic characters. In the real-time domain, there is also a need to deliver realistic virtual characters, with the increase in popularity of interactive drama video games (such as L.A. Noire™ or Heavy Rain™). There have been mixed reactions from audiences to lifelike characters used in movies and games, with some saying that the increased realism highlights subtle imperfections, which can be disturbing. Some developers opt for a stylized rendering (such as cartoon-shading) to avoid a negative reaction [Thompson 2004]. In this paper, we investigate some of the consequences of choosing realistic or stylized rendering in order to provide guidelines for developers for creating appealing virtual characters. We conducted a series of psychophysical experiments to determine whether render style affects how virtual humans are perceived. Motion capture with synchronized eye-tracked data was used throughout to animate custom-made virtual model replicas of the captured actors.

Render me real?

The realistic depiction of lifelike virtual humans has been the goal of many movie makers in the last decade. Recently, films such as Tron: Legacy and The Curious Case of Benjamin Button have produced highly realistic characters. In the real-time domain, there is also a need to deliver realistic virtual characters, with the increase in popularity of interactive drama video games (such as L.A. Noire™ or Heavy Rain™ ). There have been mixed reactions from audiences to lifelike characters used in movies and games, with some saying that the increased realism highlights subtle imperfections, which can be disturbing. Some developers opt for a stylized rendering (such as cartoon-shading) to avoid a negative reaction [Thompson 2004]. In this paper, we investigate some of the consequences of choosing realistic or stylized rendering in order to provide guidelines for developers for creating appealing virtual characters. We conducted a series of psychophysical experiments to determine whether render style affects how virtual humans are perceived. Motion capture with synchronized eye-tracked data was used throughout to animate custom-made virtual model replicas of the captured actors.

Eye Detection in Facial Images Using Zernike Moments with SVM

An eye detection method for facial images using Zernike moments with a support vector machine (SVM) is proposed. Eye/non-eye patterns are represented in terms of the magnitude of Zernike moments and then classified by the SVM. Due to the rotation-invariant characteristics of the magnitude of Zernike moments, the method is robust against rotation, which is demonstrated using rotated images from the ORL database. Experiments with TV drama videos showed that the proposed method achieved a 94.6% detection rate, which is a higher performance level than that achievable by the method that uses gray values with an SVM.