Video Editing Research Articles

Digital Marketing Training and Visual Identity Design as a Strategy for Economic Recovery of the People of Kucur Village in Malang Regency from the Impact of the COVID-19 Pandemic

The Medium-Term Development Plan (RPJM) of Kucur Village from 2019 to 2025 focuses on the community's economic recovery due to the COVID-19 pandemic. This Community Service activity is a form of support for the planning document for 6 (six) years. In addition, it is an elaboration of the vision and mission of the Village (RPJM). The problem faced by the people of Kucur village that has been identified is that Kucur village has significant tourism potential but has not been fully managed optimally. On the other hand, the Kucur village tourism activist team does not fully understand digital marketing, which is now a trend and an effective way during the COVID-19 pandemic. In addition, practical solutions are needed to restore the community's economy immediately. Departing from these problems, an increase in the competence of the Kucur village tourism activist team, especially the Gunung Sari Valley, in the field of marketing; in the form of copywriting training and its implementation on social media; 2) optimization of smartphones and applications for digital marketing activities such as simple design applications and video editing, and 3) Design of the visual identity of the Gunung Sari Valley (LGS) and its implementation to various media. As a result of this activity, there is an increase in public understanding to optimize LG S Nature Tourism through digital marketing. Furthermore, the visual identity developed by the Community Services team received a positive response from the LGS management team. It aroused the manager's interest in producing merchandise and developing other facilities for monetization.

Analysis of Eevee Engine Rendering Engineering in Making 3D Animation Videos Mukomuko Hospital

Blender is a free and open source 3D computer software, Blender is used to create animated films, visual effects, and video games. This software features 3D modeling, UV unwrapping, texturing, ringing and skinning, fluid and smoke simulation, particle simulation, animating, match moving, camera tracking, rendering, video editing, compositing and a built-in game engine. Where we can design and create 3D animated films not only as a medium of entertainment in cinema, but also can be used in various fields including visual socialization media, which can bring new colors in the delivery of information. The formulation of this research is to determine how long the render time is generated to perform the rendering process using the Eevee rendering engine in Blender Software with a video duration of 54 seconds and a resolution of 320, 720, 1080 pixels on the 3D animation video of Mukomuko Hospital and the quality of the graphics/visuals produced by Eevee rendering engine. The animation video used is the 3D animation “Mukomuko Hospital”. The process of making animation using Blender 3D application and Adobe Premiere CC animation video design. The software used is Blender 2.82. The duration of the video analyzed using Eevee Engine Render is 54 seconds. The image resolution analyzed using the Eevee Engine is 320, 720 and 1080 pixels. The conclusion of this research is in the pre, production and post production process of 3D animation video at RSUD Mukomuko in accordance with the planning made previously. The rendering time generated to perform the rendering process using the Eevee rendering engine in Blender Software with a video duration of 54 seconds and a resolution of 320, 720, 1080 pixels, obtained various results with their respective advantages and disadvantages.

Promotional Elements in the "Me and Kajongan Tourism Village" Video Vlog

The city of Tegal is known as a maritime city, a city with a large fishing sector. The expanse of cultivators' ponds and mangrove trees provide a special beauty for the coastal villages in Tegal City. Kajongan tourism village is located at the west end of Muarareja Village, West Tegal District, Tegal City which is a potential fishery sector in Tegal City. In order to increase the enthusiasm of local and national communities to visit the Kajongan Tourism Village. The Regional Government through Bappeda organized the Kajongan Tourism Village Creative Video Competition “Come on Dolan Maring Kajongan”. The competition was held in the form of a video vlog as an effort to find the best video as a promotional medium for the Kajongan tourist village. The results of the competition were the 6 best videos in the general champion category which were selected based on the elements of promotion, video quality, story telling, shooting angles, and video editing. Ramadhan, aims to find promotional elements in the video vlog. data collection observations and interviews with informants The results of this study found elements of promotion and elements of cinematography. Based on the order of appearance, the abstract comprises the goal of the research, method implemented, results of the research, brief discussion, conclusion, and impact of the research.

“What does it mean to make a picture of the now?”

“What does it mean to make a picture of the now?”

Endoscopic Closure of Iatrogenic Rectal Perforation Using the Tulip Bundle Technique.

CASE REPORT Cleansing enemas are commonly used for constipation, but rectal perforation is a rare complication, with a mean incidence of 0.02%–0.23%.1,2 A 75-year-old woman was referred to the emergency department with severe constipation. Physical examination revealed solid stools in the rectum, and a cleansing enema was applied. Immediately, she presented with abundant hematochezia. Rectosigmoidoscopy revealed a large perforation in the posterior rectal wall because of the tip of the enema. Pelvic computed tomography showed extraluminal air in the perirectal fat, suggestive of rectal perforation (Figure 1). To prevent complications, she was admitted under antibiotics and repeated rectosigmoidoscopy.Figure 1.: Pelvic computed tomography showing perirectal free air and fat stranding, suggestive of rectal perforation.We attempted to close the perforation (Figure 2) using an over-the-scope clip, but it did not adequately fit the defect. Because therapeutical failure was imminent, we performed mucosal closure using a clip-fixed endoloop in a single-channel colonoscope. First, a clip was inserted in the working channel of the endoscope; as an independent device outside the scope, the tip of the endoloop was attached to the clip's teeth; next, the clip and endoloop were housed inside the scope channel until completely hidden, and both the scope and the endoloop were inserted in the rectum. The clip-fixed endoloop was then fixed onto the normal mucosa near the mucosal defect; 3 additional clips were used to anchor the endoloop circumferentially along the tear margins. Finally, the endoloop was tightened to close the perforation (Figure 3). The patient recovered uneventfully and was discharged after 7 days. Two weeks later, only a small scar was identified.Figure 2.: Rectosigmoidoscopy revealing a rectal perforation in the posterior rectal wall.Figure 3.: Endoscopic closure of the rectal perforation after using an endoloop. The endoloop was anchored with clips to the normal mucosa near the perforation's edges and closed in a purse-string fashion.An early approach of rectal perforations is critical to prevent complications and reduce mortality.1 Endoscopic techniques, such as over-the-scope clips or through-the-scope clips, are preferred when surgery has high risk of morbimortality.3 New techniques, such as endoloop, have been increasingly used, but choice depends on the type and size of the perforation, available devices, and endoscopist expertise (Video 1, https://links.lww.com/AJG/C770).4,5 {"href":"Single Video Player","role":"media-player-id","content-type":"play-in-place","position":"float","orientation":"portrait","label":"Video 1","caption":"Endoscopic closure of iatrogenic rectal perforation after a cleansing enema, by using the tulip bundle technique.","object-id":[{"pub-id-type":"doi","id":""},{"pub-id-type":"other","content-type":"media-stream-id","id":"10.14309/crj.0000000000000898.vid1"},{"pub-id-type":"other","content-type":"media-source","id":"Kaltura"}]} DISCLOSURES Author contributions: F. Pires acquired data, drafted the manuscript, and performed video editing. AC Carvalho acquired data and performed video editing. R. Araújo was responsible for conception and performance of the endoscopic procedure and critically revised the report. All authors read and approved the final version of the manuscript. F. Pires is guarantor of the article. Financial disclosure: None to report. Informed consent was obtained for this case report.

NeuralMarker

We tackle the problem of estimating correspondences from a general marker, such as a movie poster, to an image that captures such a marker. Conventionally, this problem is addressed by fitting a homography model based on sparse feature matching. However, they are only able to handle plane-like markers and the sparse features do not sufficiently utilize appearance information. In this paper, we propose a novel framework NeuralMarker, training a neural network estimating dense marker correspondences under various challenging conditions, such as marker deformation, harsh lighting, etc. Deep learning has presented an excellent performance in correspondence learning once provided with sufficient training data. However, annotating pixel-wise dense correspondence for training marker correspondence is too expensive. We observe that the challenges of marker correspondence estimation come from two individual aspects: geometry variation and appearance variation. We, therefore, design two components addressing these two challenges in NeuralMarker. First, we create a synthetic dataset FlyingMarkers containing marker-image pairs with ground truth dense correspondences. By training with FlyingMarkers, the neural network is encouraged to capture various marker motions. Second, we propose the novel Symmetric Epipolar Distance (SED) loss, which enables learning dense correspondence from posed images. Learning with the SED loss and the cross-lighting posed images collected by Structure-from-Motion (SfM), NeuralMarker is remarkably robust in harsh lighting environments and avoids synthetic image bias. Besides, we also propose a novel marker correspondence evaluation method circumstancing annotations on real marker-image pairs and create a new benchmark. We show that NeuralMarker significantly outperforms previous methods and enables new interesting applications, including Augmented Reality (AR) and video editing.

Photoshop and Video Editing

Photoshop and Video Editing

Visual Hierarchy Employed in Learning Videos: Gender Preferences

This research aimed to discover how male and female students used visual hierarchy in their learning videos. There were 7 female students and 6 male students from the English Department, Education, and Teacher Training Faculty engaged in this study. This study used a visual content analysis design and is qualitative in nature. The instruments used were 13 videos produced by the respondents containing teaching material for speaking class. The data collection was carried out through identifying, classifying, verifying, and generating meanings of the visual elements by peering into the visual elements embedded into the video such as style or shape, color, line, space, and scale to create and convey meaning intended. The data were later analyzed using interactive analysis by classifying out the irrelevant data, then displaying the data, to be later verifying them theoretically. The results reveal that, for female students, the style used was generally bright-colored animated visuals with varied textures such as furry animals or glossy cute ladies. The space is rather crowded and the object composition is mostly occupied on the right or left with standard scaling. Lines were used with varied width and weights. For male students, more natural style was engaged, muted colors without the implementation of lines and textures. The spacing is also plain, the object composition is centered, and the scaling is small, no lines were employed. It implies that female students engaged various visual elements in video editing compared to male students.
 
 Keywords: Visual, Hierarchy Analysis, Learning Video, Gender Preferences, Design in ELT

Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions

Gap acceptance analysis is crucial for determining capacity and delay at uncontrolled intersections. The probability of a driver accepting an adequate gap changes over time, and in different intersection types and traffic circumstances. The majority of previous studies in this regard have assumed homogeneous traffic conditions, and applying them directly to heterogeneous traffic conditions may produce biased results. Moreover, driver behavior concerning critical gap acceptance or rejection in traffic also varies from one location to another. The current research focused on the estimation of critical gaps considering different vehicle types (cars, and two- and three-wheelers) under heterogenous traffic conditions at uncontrolled crossings in the city of Peshawar, Pakistan. A four-legged uncontrolled intersection in the study area was used to investigate drivers’ gap acceptance behavior. The gaps were investigated for various vehicle types: two-wheelers, three-wheelers, and cars. For data collection, a video recording method was used, and Avidemux video editing software was used for data investigation. The study investigated the applicability of the maximum likelihood (MLM) method to analyzing a vehicle’s critical gap. MLM estimation results indicate that the essential critical gap values for car drivers are in the range from 7.45 to 4.6 s; for two-wheelers, the critical gap was in the range from 6.78 to 4.7 s; and for three-wheelers, the values were in the range from 6.3 to 4.9 s. At an uncontrolled intersection, the proposed method’s results can assist in distinguishing between different road user groups. This study’s findings are intended to be useful to both researchers and practitioners, particularly in developing countries with similar traffic patterns and vehicle adherence patterns at unsignalized intersections.

Detection of Double-Compressed Videos Using Descriptors of Video Encoders

In digital forensics, video becomes important evidence in an accident or a crime. However, video editing programs are easily available in the market, and even non-experts can delete or modify a section of an evidence video that contains adverse evidence. The tampered video is compressed again and stored. Therefore, detecting a double-compressed video is one of the important methods in the field of digital video tampering detection. In this paper, we present a new approach to detecting a double-compressed video using the proposed descriptors of video encoders. The implementation of real-time video encoders is so complex that manufacturers should develop hardware video encoders considering a trade-off between complexity and performance. According to our observation, hardware video encoders practically do not use all possible encoding modes defined in the video coding standard but only a subset of the encoding modes. The proposed method defines this subset of encoding modes as the descriptor of the video encoder. If a video is double-compressed, the descriptor of the double-compressed video is changed to the descriptor of the video encoder used for double-compression. Therefore, the proposed method detects the double-compressed video by checking whether the descriptor of the test video is changed or not. In our experiments, we show descriptors of various H.264 and High-Efficiency Video Coding (HEVC) video encoders and demonstrate that our proposed method successfully detects double-compressed videos in most cases.

Raven finch optimized deep convolutional neural network model for intra‐frame video forgery detection

SUMMARYDue to the tremendous growth of video editing software, it has become extremely simple to introduce malicious content by manipulating multimedia data. This may include modification of videos either by adding or deleting selective frames with malicious intentions. Hence, it is essential to find the forged frames of the videos by introducing efficient and reliable video forensic methods. This article presents an automatic intra‐frame video forgery detection strategy based on a hybrid optimization tuned deep‐convolutional neural network (deep‐CNN) classifier. The significance of the proposed method lies in developing the proposed raven‐finch optimization algorithm that tunes the weights of the deep‐CNN to exhibit enhanced detection accuracy. The proposed raven‐finch optimization algorithm combines raven search agents and finches search agents, possessing the benefits of both search agents. The features of the input video frames act as the input to the deep‐CNN classifier that detects forgery. The performance of the proposed raven‐finch‐based deep CNN method is analyzed in terms of the performance indices, such as accuracy, sensitivity, and specificity. It is attained to be 97.56%, 95.48%, and 96.38%, respectively, which shows the superiority of the proposed method for intra‐frame forgery detection.

Learning from expert or own practice: reflectively editing video cases for professional development

ABSTRACT This research aimed to investigate how the video editing process professionally affected preservice teachers’ reflection levels and whether it differed by the type of in-class teaching experiences (their own and expert teacher experiences). The editing procedure of video cases means selecting and combining parts from an entire recorded in-class teaching experience and adding reflective thinking on actions. Seven participants took part in the research process during a semester, with three-cycle of the video case editing procedures being applied separately to two different research groups. Both inductive and deductive content analysis procedures were applied in a total of 21 video cases edited by PTs. By editing in-class teaching experiences, PTs could deeply analyse the events and transform their reflections on the contextual features. The process facilitated PTs’ professional development by identifying, noticing, and reflecting on in-class teaching experiences. PTs learned to analyse their experiences by using different types of perspectives. PTs could deeply analyse the events and transform their reflections on the contextual features. Contrary to the difficulties for PTs’ reflection-in-action, the process of editing in-class teaching experiences expanded their reflection-on-action opportunities.

TeachTokerists in the Philippines: A Husserlian Phenomenology

The usage of TikTok in the educational environment appears to be sparse, in contrast to previous studies that assess methods of integrating various social media platforms. As a result, this study aimed to clarify this issue by exploring the experiences and viewpoints of teacher-Tiktokerists or TeachTokerists in the Philippines to comprehend Tiktok’s function in the field of education. Using Edmund Husserl’s (descriptive) phenomenology, the findings revealed that TeachTokerists are from all over the Philippines, handling various courses in primary education. Most were aware of the app before the pandemic but only started using it during the pandemic-related lockdowns. The acronym “EDU”, which refers to E - Entertainment Purposes, D - Development of Content, and U - understanding oneself and others, is an example of why teachers in the Philippines are on Tiktok. The acronym “TOK” was developed by the researchers based on the themes they identified regarding the roles TikTok has made in Philippine education: T for Tools for Teachers and Students, O for Optimization of Students’ Confidence, Video Editing Skills, and Talents (CVT), and K for Knowledge Resource for Teachers. In the arena of Philippine education, TikTok may be advantageous. With the help of its easy-to-use interface, teachers may better convey key ideas to students and help them create videos as part of their learning output or performance. Furthermore, teachers can include educational materials that are freely available online in their lessons. Regrettably, the TeachTokerists listed the dangers that TikTok poses to students, including, but not limited to, vulgar language, excessive app use, incorrect information, and criticisms from other users. In the future, a quantitative version of this study may be carried out to include more TeachTokerists, and the room to learn more about the experiences of TeachTokerists who produce educational content also remains open.

On the need to classify rock mass fed to dry magnetic separation

The hypothesis of a possible use of dry magnetic separation is substantiated on the example of ores from ferruginous quartzite deposits operated by plants of PAO “Severstal” Holding. Size class of ore after medium crushing is –80+0 mm when the vibrating feeder is used for feeding ore mass to the separation zone. The rationale is based on the analysis of video recording of physical simulation on a laboratory drum magnetic separator of SMBS-L series, in the VSDC Video Editor, and simulation modelling of dry magnetic separation on its virtual prototype in Rocky DEM software package. It has been proved that the use of a vibrating feeder for feeding the material to the working area of a magnetic separator makes it possible to: form a monolayer on the surface of the vibrating feeder chute with a thickness close to the maximum size of a lump of separated ore; implement batch feed of material to the separation zone; increase the spacing between lumps in the separation zone when passing through the free fall area, thereby allowing dry magnetic separation of ferruginous quartzites of size class –80+0 mm without pre-preparation.

The Propylaea of Paris

Ledoux, les Propylées de Paris is an animated slideshow portraying all the octroi tollhouses of Paris, built by Claude Nicolas Ledoux (1736-1806), a visionary architect, urbanist and utopian. 3D modeling was done with SketchUp Pro, rendering with Artlantis Studio and Photoshop CS, and video editing with iMovie. Each building rendered in 3D is graphically explored using transparency and greyscale. The source documents are the writings of Claude Nicolas Ledoux – L’architecture considérée sous le rapport de l’art, des mœurs et de la législation (Architecture Considered in Relation to Art, Mores and Legislation), Volumes I, II, and III, viewable online at the French National Library website: gallica.bnf.fr

Video Editing Training to Improve the Quality of Teaching and Learning at SMK Palapa Bandarlampung

The teaching and learning process is very important in the teaching and learning process. Learning objectives or instructional objectives are learning outcome behaviors that are expected to occur, be owned, or be mastered by students after participating in certain learning activities. Previously, teachers found it difficult to develop learning video editing. This is due to the limitations of human resources who understand the use of information technology devices, especially video editing. From the results of the questionnaire distributed, 92.5% of respondents said they were satisfied with the video editing training that had been made. Thus, the learning video editing training that has been made by the teachers can be declared feasible and can be used as learning material.

AN IMPROVISED VIDEO ENHANCEMENT USING MACHINE LEARNING

The visual quality of underexposed videos can be increased with the help of a process known as video enhancement. Within the scope of this research, we present a novel approach to enhancing the exposure of movies that are underexposed. Because it has a low barrier to entry theoretically and can reliably give perceptually pleasant outcomes without adding artifacts, it is ideal for a wide variety of practical applications. This is because it is useful for a wide variety of practical applications. We demonstrate the usefulness of the method by displaying improved films of good quality that were made from a variety of different sorts of underexposed videos. A novel approach to the enhancement and editing of video is presented by our method. Rather than relying on a single heuristic transform function, it makes use of human visual perception to adaptively customize the overall visual appearance of the finished product. We believe that our work has the potential to make a big influence in the field of perception-aware video editing and the applications that are related to it, and that it is an important contribution to the community that works on improving videos. The challenge of video enhancement can be formulated as follows: given a video of low quality as the input, produce a video of high quality as the output, but only for specific uses. Whether it be in terms of the video objective clarity or its more subjective qualities, we are interested in learning how we might improve its overall quality.

Decomposing style, content, and motion for videos

In this paper, we present the first video decomposition framework, named SyCoMo, that factorizes a video into style, content, and motion. Such a fine-grained decomposition enables flexible video editing, and for the first time allows for tripartite video synthesis. SyCoMo is a unified and domain-agnostic learning framework which can process videos of various object categories without domain-specific design or supervision. Different from other motion decomposition work, SyCoMo derives motion from style-free content by isolating style from content in the first place. Content is organized into subchannels, each of which corresponds to an atomic motion. This design naturally forms an information bottleneck which facilitates a clean decomposition. Experiments show that SyCoMo decomposes videos of various categories into interpretable content subchannels and meaningful motion patterns. Ablation studies also show that deriving motion from style-free content makes the keypoints or landmarks of the object more accurate. We demonstrate the photorealistic quality of the novel tripartite video synthesis in addition to three bipartite synthesis tasks named as style, content, and motion transfer.

Pemanfaatan Teknologi Informasi untuk Optimalisasi Dakwah Bagi Kader Nasyiatul Aisyiyah Bulakamba-Brebes

Da'wah activities carried out "traditionally" have proven to be an intermediary tool for all people who wish to study and even deepen the religion of Islam. However, along with the development of information technology and the support of the internet, da'wah activities are presented in different ways / methods. These activities are channeled quickly using various online media platforms (in the network) such as preaching through video streaming, via YouTube, through social media (Twitter, Instagram, Facebook, and others) which can be watched repeatedly with large audiences. One of the uses of technology in preaching activities can be done by using smartphones in making interesting multimedia as a medium of preaching. Based on observations in the field, several problems faced by cadres Nasyiatul Aisyiyah Bulakamba-Brebes are that they do not have the understanding and use of information technology in supporting da'wah activities. Therefore, material is given about the importance of using information technology as a medium for da'wah in the era of the industrial revolution 4.0 as well as providing assistance in training in making da'wah media in the form of posters using the Canvas application and video editing using Kine Master. With this activity, the motivation, knowledge, and skills of Nasyiatul Aisyiyah Bulakamba-Brebes cadres in optimizing the use of information technology in da'wah activities will increase.

Audio and video editing system design based on OpenCV

With the rapid development of the Internet, a new carrier for people to perceive the world and communicate with each other - audio and video - is gradually being favoured by the public. The development of multimedia technology and artificial intelligence technology has provided a milestone for the maturity of audio and video technology. In particular, short video platforms have slowly become a new network position for various media promotions. Especially at the moment of the epidemic, the channel of understanding the world through audio and video is increasingly valued. The public has put forward higher demands on the content and presentation of audio and video. Therefore, it is particularly important to produce quality audio-video that meets the requirements of the times, which cannot be achieved without a feasible audio-video editing system. In addition, after previous research and practice, the application of artificial intelligence technology in the field of imaging has also become mature, including some applications in the direction of entertainment. Applying AI technology to the video editing process can improve the efficiency of video editing, increase the interest of video content, and allow video creators to focus on content creation without spending too much time and energy on video editing operations, thus creating better quality videos. This design is the main technology of OpenCV and front-end technology stack, such as JavaScript, React and Electron, to implement basic video editing, video filters, in addition to the development of a friendly interactive interface. The implementation of basic video editing module and video filter module are both based on OpenCV implementation. In this design, the basic video editing implements pan, zoom and rotate operations on the video, and the video filter module is implemented by changing the RGB channel values of the image. The operations on the video can be broken down into operations on each frame of the video, and OpenCV provides a way to implement these operations. The paper concludes with a summary of the shortcomings and flaws in the design, and an outlook on the next steps and future directions. This design is the main technology of OpenCV and front-end technology stack, such as JavaScript, React and Electron, to implement basic video editing, video filters, in addition to the development of a friendly interactive interface. The implementation of basic video editing module and video filter module are both based on OpenCV implementation. In this design, the basic video editing implements pan, zoom and rotate operations on the video, and the video filter module is implemented by changing the RGB channel values of the image. The operations on the video can be broken down into operations on each frame of the video, and OpenCV provides a way to implement these operations. The paper concludes with a summary of the shortcomings and flaws in the design, and an outlook on the next steps and future directions.