Multimedia Editing Research Articles

PENGEMBANGAN ALAT BANTU PENGEDITAN VIDEO DAN MULTIMEDIA BERBASIS ARDUINO USB MIDI

The extensive use of multimedia technology in the film and television industry has greatly enhanced the aesthetics and artistry of film and television works, thereby fundamentally driving the development of the film and television industry. This development of needs in video and multimedia directly impacts the needs in the video editing process. Therefore, in the big video era, changes in the way video is used in various media including social media have had a big impact on editing video content. In speeding up the performance of video and multimedia editing, a shortcut method is needed, usually using a keyboard shortcut. keyboard shortcuts are obviously very helpful in the editing process but despite the fact that it usually takes half the time to issue commands to a computer application using those keyboard shortcuts, most people issue certain commands by clicking on icons on a toolbar or by selecting commands from a pull-down menu. In this study, a tool was designed by utilizing an Arduino microcontroller in the form of a midi controller which makes it easier to access shortcuts to help speed up the process of editing video and multimedia content.

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Texture Synthesizability Assessment via Deep Siamese-Type Network

Example-based texture synthesis plays a significant role in many fields, including computer graphics, computer vision, multimedia, and image and video editing and processing. However, it is not easy for all textures to synthesize high-quality outputs of any size from a small input example. Hence, the assessment of the synthesizability of the example textures deserves more attention. Inspired by the broad studies in image quality assessment, we propose a texture synthesizability assessment approach based on a deep Siamese-type network. To our best knowledge, this is the first attempt to evaluate the synthesizability of sample textures through end-to-end training. We first train a Siamese-type network to compare the example texture and the synthesized texture in terms of their similarity and then transfer the experience knowledge obtained in the Siamese-type network to a traditional CNN by fine-tuning, so that to give an absolute score to a single example texture, representing its synthesizability. Not relying on laborious human selection and annotation, these synthesized textures can be generated automatically by example-based synthesis algorithms. We demonstrate that our approach is completely data-driven without hand-crafted features and/or prior knowledge in the field of expertise. Experiments show that our approach improves the accuracy of texture synthesizability assessment qualitatively and quantitatively and outperforms the manual feature-based method.

Frame Identification of Object-Based Video Tampering Using Symmetrically Overlapped Motion Residual

Image and video manipulation has been actively used in recent years with the development of multimedia editing technologies. However, object-based video tampering, which adds or removes objects within a video frame, is posing challenges because it is difficult to verify the authenticity of videos. In this paper, we present a novel object-based frame identification network. The proposed method uses symmetrically overlapped motion residuals to enhance the discernment of video frames. Since the proposed motion residual features are generated on the basis of overlapped temporal windows, temporal variations in the video sequence can be exploited in the deep neural network. In addition, this paper introduces an asymmetric network structure for training and testing a single basic convolutional neural network. In the training process, two networks with an identical structure are used, each of which has a different input pair. In the testing step, two types of testing methods corresponding to two- and three-class frame identifications are proposed. We compare the identification accuracy of the proposed method with that of the existing methods. The experimental results demonstrate that the proposed method generates reasonable identification results for both two- and three-class forged frame identifications.

Video frame deletion detection based on time–frequency analysis

With the emergence of diverse multimedia editing software, a great number of edited or tampered video resources appear on the Internet, some of which can mix with the genuine ones. Digital video authenticity is an important step to make the best use of these video resources. As a common video forgery operation, frame tampering can change the video content and confuse viewers by removing or inserting some specific frames. In this paper, we explore the traces created by compression process and propose a new method to detect frame tampering based on the high-frequency features of reconstructed DCT coefficients in the tampered sequences. Experimental results demonstrate that our proposed method can effectively detect frame tampering operation, and accurately locate the breakpoint of frame tampering in the streams.

The analysis of learning management systems features

The successful implementation of e-Learning is based on the correct choice of software that meets the specific requirements and objectives of the organization. Thus, the purpose of this article is to review and analyze existing learning management systems (LMS), in order to use their potential in streamlining the learning process. To achieve this goal, the LMS assessment criteria were selected, the most popular open-source distance learning platforms were analyzed; the current LMS Integration capabilities were assessed. For the LMS analysis the following criteria were proposed: Functionality; Reliability; Stability; Cost, Availability of content development tools; SCORM support; Knowledge testing system; Easy to use; Modularity; Ensuring access; Multimedia; Scalability and Extensibility; Multiplatform LMS. A comparative analysis of 8 electronic learning management systems was presented. All of them support the use of multimedia elements, content creating and editing, assessment possibilities

Development of methods formalisation subject technology design of multimedia edition

Development of methods formalisation subject technology design of multimedia edition

Development of methods formalisation subject technology design of multimedia edition

Development of methods formalisation subject technology design of multimedia edition

Multiple Histograms Shifting-Based Video Data Hiding Using Compression Sensing

With the development of multimedia editing technologies, the copyright protection has attacked more attentions. Reversible data hiding (RDH), in which the cover can be recovered losslessly, is an effect method to eliminate embedding distortions. As a typical RDH method, histogram shifting (HS) is used widely. Most existing RDH schemes based on HS usually build sharp histograms by predicting and sorting techniques. To make use of spatial correlations of multimedia, several RDH schemes based on multiple HS (MHS) are proposed to protect copyright, in which some rigid rules are used to build multiple histograms. Against images, videos have more spatial and temple correlations and it is easier to acquire sharper histograms. In this paper, a video MHS scheme based on compression sensing (CS) is proposed. As a linear sensing algorithm, CS can measure macroblock residuals by reducing corrections among pixels to acquire distinguishable macroblock features, while keeping their statistical characteristics immutable. By employing CS, macroblocks with similar characteristics cluster together to formulate multiple histograms. For each of these histograms, data embedding is implemented to reduce shifting distortions by expanding the outermost bins while other bins are unchanged. Experimental results show that the quality of most test videos in our scheme are higher than that in the state-of-art schemes.

ICT USE IN EARLY CHILDHOOD EDUCATION: STORYTELLING

The aim of this study is to investigate the ICT use by pre-service preschool teachers and pre-service speech and language therapists in developing their digital case of a storytelling. Students were stimulated to use various multimedia editing and authoring tools. The research questions concern the students’ accomplishments on integrating technology in digital storytelling and the effectiveness of that learning environment they created. The results revealed a difference by implying that not only the learning theory and the teaching practices but also the content, the structure and the nature of the course together with the social interactions play an important role on how people learn and develop their skills.The results revealed that students of both departments overall accomplished very good project outcomes in digital storytelling meeting technical and pedagogical criteria. Finally similarities and differences of the students’ approaches in the digital storytelling development are discussed

Blind semi-fragile watermarking scheme for video authentication in video surveillance context

With the development of advanced multimedia editing tools, numerous unauthorized manipulations are easily doable to surveillance systems video files. Thus, video tamper detection is revealed as a big challenge for multimedia security field researchers. Indeed, we propose herein a singular value decomposition (SVD) and discrete wavelet transform (DWT) based semi fragile watermarking scheme for video content authentication. A content-based authentication signature is firstly generated by extracting reliable features from regions of interest. QR code generation technique as well as Arnold transform are used to boost the security aspect of the watermark. This latter is efficiently hidden in the wavelet middle frequency sub bands through an additive embedding algorithm and then extracted via a blind detection method. Simulation results demonstrate that the proposed scheme jointly achieves a good perceptual quality and a high watermark capacity. In addition, it is capable of distinguishing intentional attacks from incidental modifications. Indeed, the proposed watermarking scheme is very fragile to malicious tampering while allowing non-malicious processing.

Features of the design of animation graphics of educational multimedia edition on the discipline “Draft Geometry”

The article describes the theoretical foundations and practical methods of designing animation graphics for educational multimedia publications on the subject of descriptive geometry. The use of animated graphics as an effective means of visualizing volumetric-spatial models is considered. The effectiveness of the educational multimedia edition with elements of animated graphics in the educational process is investigated, a comparison is made with the traditional methods of teaching the discipline.

Using flash technology in educational process training of an electrical engineer

In the article in order to familiarize the use of modern digital technologies in the educational process is an electronic multimedia publication for the study of intelligent displacement sensor. It is based on Flash technology and has traditional construction of educational and methodological nature. The student has the opportunity prepare for the work, since the publication is equipped with a theoretical part, revealing the purpose and tasks, and the order of the work. Using Flash-technology visualizes the constructive construction of the device under study, its phased peration, circuit decisions of device nodes. An explanation of the operation of electronic units is accompanied by a graphic demonstration of the generated, processed and transmitted electronic circuits of electronic signals, reflecting the purpose of the device, namely obtaining a complex of signals proportional to the quality and quantity of the angular or linear movement of moving objects. Such visualization allows you to look “inside” electronic circuits, which is not provided possible in a real object. The scheme of determining the direction of movement (rotation) of an object is especially highlighted. Schemes are given speed measuring devices based on two principles of counting the number of pulses from the output of the displacement sensor. Designed electronic multimedia edition organically fits into the distance learning system as an integral part of the electronic university.

The Politics of Vietnamese Craft

Review Article| May 29 2020 The Politics of Vietnamese Craft: American Diplomacy and Domestication Jennifer Way, Jennifer Way Jennifer Way is a professor of art history at the University of North Texas. Her research and teaching explore the social meanings and uses people make of visual art, craft, design, material culture, and exhibitions, emphasizing the period since the mid twentieth century. Search for other works by this author on: This Site PubMed Google Scholar Sarah Grant Sarah Grant Sarah Grant is Multimedia Editor of the Journal of Vietnamese Studies and Assistant Professor of anthropology at California State University, Fullerton. Search for other works by this author on: This Site PubMed Google Scholar Journal of Vietnamese Studies (2020) 15 (2): 152–160. https://doi.org/10.1525/vs.2020.15.2.152 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Jennifer Way, Sarah Grant; The Politics of Vietnamese Craft: American Diplomacy and Domestication. Journal of Vietnamese Studies 29 May 2020; 15 (2): 152–160. doi: https://doi.org/10.1525/vs.2020.15.2.152 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentJournal of Vietnamese Studies Search This content is only available via PDF. © 2020 by The Regents of the University of California2020 Article PDF first page preview Close Modal You do not currently have access to this content.

Design and implementation of intelligent creation platform based on artificial intelligence technology

In this article, we have designed a fusion media platform that integrates intelligent creation and editing based on Artificial Intelligence Technology. The system includes a content acquisition and intelligent creation module, a multimedia editing module, and a multi-channel integrated publishing and operation module. The content collection and intelligent creation module utilizes the audio and video capture technology of the mobile computer and natural language processing technology to achieve rich media content acquisition and smart embellishment. The multimedia editing module can realize text matching and modification trace preservation, associated content intelligent extraction, and audio and video processing. The multi-channel integrated publishing module utilizes crawling technology and auth2.0 authentication technology to realize seamless interfacing of new media channels such as WeChat, Weibo, headline, Sohu, TV production system, radio production system, newspaper typesetting system, etc. At the same time, the platform can also capture operational data through crawler technology to meet the needs of intelligent operations. The platform has been piloted in a number of press and publication media organizations. Through the results of the operation and the user feedback, the platform can provide a good service for news media workers from content creation, editorial review to channel release. This research will provide a comprehensive working platform for the news publishing media industry, which is of great value for promoting the comprehensive fusion of the media.

IEEE Access Special Section: Digital Forensics Through Multimedia Source Inference

With the prevalence of low-cost imaging devices (smartphones, tablets, camcorders, digital cameras, scanners, wearable, and IoT devices), images and videos have become the main modalities of information being exchanged in every walk of life. The ever-increasing convenience of image acquisition has facilitated instant distribution and sharing of multimedia on digital social platforms. In the meantime, powerful multimedia editing tools allow even unskilled people to easily manipulate digital content for malicious or criminal purposes. In all cases where multimedia serves as critical evidence, forensic technologies that help to determine the origin, the authenticity of multimedia sources, and the integrity of multimedia content become essential to forensic investigators. Imaging devices and post-acquisition processing software leave unique “fingerprints” in multimedia content. This allows many challenging problems faced by the multimedia forensics community to be addressed through source inference. Source inference is the task of linking digital content to the source device or platform (e.g., social media such as Facebook) responsible for its creation. It can facilitate applications such as identification and verification of source device and platform, common source inference, content integrity verification, and source-oriented image clustering. It also allows the establishment of digital evidence or the history of multimedia processing steps applied to the content, starting from the acquisition procedure and up to tracking the spread. The recent adoption of multimedia source inference techniques in the law enforcement sector (e.g., U.K. Sussex Police, Guildford Crown Court, and INTERPOL) in real-world criminal cases and child sexual exploitation databases has manifested the significant value of multimedia source inference in the fight against crime. This Special Section in IEEE Access aims to collect a diverse and complementary set of articles that demonstrate new developments and applications in digital forensics through multimedia source inference.

DEVELOPMENT OF THE OPTIMIZATION MODEL OF THE INTERFACE OF MULTIMEDIA EDITION

The aim of the research work is development of a model for optimizing the interface of a multimedia publication. In this research, five levels of interaction are identified for the interface of a multimedia publication – flat surfaces, layouts, structures, feature sets, strategies. The relationship between the levels of user interaction and interface properties of a multimedia publication is analyzed. It is proposed to select interface components based on the properties of the multimedia editions they provide. In order to construct models of optimization of elements of the interface of a multimedia publication, estimates of the interconnection of elements of the interface with functional capabilities by the total matrix are used. To combine the standard models into a single interface optimization model, an analysis of the relationship between the elements of the interface of the multimedia publication and the characteristics of the multimedia publication has been conducted. According to the results of the analysis, an economical tree is constructed, which allows to build a hierarchy of the stages of optimization of the interface of the multimedia publication and to determine the input data for the implementation of the task. The definition of the input data allows to show the principle of the interface optimization model in the form of a "black" box. An algorithm for optimizing the interface element of a multimedia publication is proposed. As a result of the practical implementation of the optimization model for the multimedia edition interface, a software product, created on the basis of HTML markup using cascading CSS style stylesheets and JavaScript language, was obtained. Adobe Device Central CS5 tested the created software on devices with different characteristics.

Failure as the treatment for transforming complexity to complicatedness

Failure as the treatment for transforming complexity to complicatedness