Video Applications Research Articles

As-Deformable-As-Possible Single-Image-Based View Synthesis Without Depth Prior

Depth-image-based rendering (DIBR) technologies have been widely employed to synthesize novel realistic views from a single image in 3D video applications. However, DIBR-oriented approaches heavily rely on the accuracy of depth maps, usually requiring the depth GT as a prior. Despite that, there might exist extensive float precision losses and invalid holes in the synthesized view due to warping error and occlusion. In this paper, we propose an end-to-end as-deformable-as-possible (ADAP) single-image-based view synthesis solution without depth prior. It addresses the above issues through two stages: alignment and reconstruction, where we first transform the input image to the latent feature space and then reconstruct the novel view in the image domain. In the first stage, the input image is deformed to align with the synthesized view at feature level. To this end, we propose an ADAP alignment mechanism through pixel-level warping to error-level quantization to feature-level alignment, progressively improving the deformable capability in handling challenging motion conditions in real-world scenes. In the second stage, we exploit an occlusion-aware reconstruction module to recover the content details from the deformed feature at pixel level. Extensive experiments demonstrate that our alignment-reconstruction approach is robust to the depth map. Even with a coarsely estimated depth map, our solution outperforms other SoTA schemes in the popular benchmarks.

Penerapan Video Pembelajaran Interaktif dalam Pembelajaran Daring untuk Meningkatkan Hasil Belajar Matematika Materi Aritmetika Sosial

The purpose of this study was to improve the mathematics learning outcomes of social arithmetic materials through the application of interactive learning videos in online learning for class VII.C students of SMP Negeri 10 Bekasi City. The subjects of this study were students of class VII.C SMP Negeri 10 Bekasi City as many as 40 students. The research method used is Classroom Action Research. Methods of data collection using tests, observation sheets, interviews, and documentation. The results showed that the use of interactive learning videos in online learning activities for mathematics subjects was more effective and fun for students, not boring, because the display on interactive learning videos was audio-visual in nature. The results of evaluation tests that measure students' understanding of social arithmetic material, in the pre-cycle the class average score is 70.93 with 52.50% completeness, it increases in the first cycle with an average value of 78.38 with 72.50% completeness , and increased again in the second cycle with an average value of 82.08 with a completeness of 92.50%. The conclusion of this study through interactive learning videos in online learning can improve mathematics learning outcomes in social arithmetic material for class VII.C students of SMP Negeri 10 Bekasi City.

Empirical evaluation of 5G and Wi-Fi mesh interworking for Integrated Access and Backhaul networking paradigm

The Fifth Generation (5G) of mobile networks and beyond have emerged with ambitions to facilitate the deployment and evolution of a wide spectrum of applications such as Industry 4.0 and 5.0 use cases. Despite this trend of increasing importance to upgrade the networked applications to the next generation, the use of 5G and beyond technologies can be a prohibitive barrier for some business sectors due to the high deployment costs that it can incur. To overcome this obstacle, more cost-effective approaches in networking are entailed. In this work, an innovative approach coupling 5G and Wi-Fi mesh networking is proposed and developed as a promising solution to extend 5G services to the indoor use case scenarios whilst being capable of keeping the capital expenditure of the network infrastructure significantly lower. In order to empirically validate and evaluate this new networking paradigm, a number of experiments have been performed over a testbed with a demanding video application as a representative use case. The experimental results prove the gained benefits from this new approach, especially, video users can be more than twice as far away without compromising the quality of the video consumption experience. Specifically, the results show that users can be 29% further away using a single router, and 100% further away if a second router is added.

A secure system for digital video applications using an intelligent crypto model

A secure system for digital video applications using an intelligent crypto model

Parental neglect and short-form video application addiction in Chinese adolescents: The mediating role of alexithymia and the moderating role of refusal self-efficacy

BackgroundThe phenomenon of short-form video application addiction among Chinese adolescents is noteworthy. More research has focused on the influencing factors of internet addiction, but research on specifically exploring the antecedents and influencing mechanisms of short-form video application addiction (a subcategory of internet addiction) among adolescents is insufficient. ObjectivesThis study aimed to investigate the relation between parental neglect and short-form video application addiction among Chinese adolescents and examine the mediating effect of alexithymia and the moderating role of refusal self-efficacy. MethodsA total of 1203 Chinese adolescents were assigned to complete scales regarding parental neglect, alexithymia, refusal self-efficacy and short-form video application addiction. ResultsParental neglect was positively related to short-form video application addiction among Chinese adolescents, and alexithymia mediated this link. Furthermore, refusal self-efficacy moderated the direct connection between parental neglect and short-form video application addiction. Specifically, the link between parental neglect and short-form video application addiction became weaker as adolescents' refusal self-efficacy increased. ConclusionThe experiences of parental neglect are closely related to higher levels of short-form video application addiction among Chinese adolescents. Parental neglect is associated with higher level of short-form video application addiction through stronger alexithymia, and the relationship between parental neglect and short-form video application addiction is attenuated when adolescents have high refusal self-efficacy.

Fine-grained Caching and Resource Scheduling for Adaptive Bitrate Videos in Edge Networks

With the easy access to mobile networks and the proliferation of video applications, video traffic is occupying a great portion of the network traffic, which poses a new challenge of how to alleviate the heavy backhaul traffic and ensure the high quality of experience for video services. As a promising solution towards addressing this challenge, video caching in edge networks has recently received significant attention, which mostly considers the video popularity and the user preference for the video. However, few studies consider the user behavior and the user preference for different parts of the video that indeed have an essential impact on caching efficiency. Hence, this article proposes a new caching and resource scheduling scheme for adaptive bitrate videos by incorporating these fine-grained factors. We first model the video service problem as a nonlinear integer programming problem, which can be divided into a cache placement problem and an online resource scheduling problem. Then, we design efficient algorithms based on several techniques, including greedy strategy, relaxation, and rounding, to solve the two problems. Extensive experimental results based on two real-world datasets show that the proposed solution achieves superior performance compared with several state-of-the-art caching approaches.

Analysis of Learning Design Using The Canva Application in Information and Communication Technology (ICT)Training

Canva is one of the programs in designing online learning that provides various tools such as presentations, infographic videos. The use of platforms for learning design is an innovation that must be developed by teachers. With the learning design, learning will be active and more interesting. The research used the Research and Development (R&D) method with the ADDIE model. 5 stages in the ADDIE model, namely the stages of analysis (Analysis), Design (Design), Development (Development), Implementation (Implementation), and Evaluation (Evaluation). The results of the analysis show that the learning design using the Canva application in ICT training for madrasa teachers in Central Maluku district stated that 20% often used the Canva application in designing lessons and 60% had used the Canva platform or application in designing learning, 20% stated that they had never used Canva in designing learning and using the Canva-based learning animation video application.

Timed Partial Order Inference Algorithm

In this work, we propose the model of timed partial orders (TPOs) for specifying workflow schedules, especially for modeling manufacturing processes. TPOs integrate partial orders over events in a workflow, specifying ``happens-before'' relations, with timing constraints specified using guards and resets on clocks -- an idea borrowed from timed-automata specifications. TPOs naturally allow us to capture event ordering, along with a restricted but useful class of timing relationships. Next, we consider the problem of mining TPO schedules from workflow logs, which include events along with their time stamps. We demonstrate a relationship between formulating TPOs and the graph-coloring problem, and present an algorithm for learning TPOs with correctness guarantees. We demonstrate our approach on synthetic datasets, including two datasets inspired by real-life applications of aircraft turnaround and gameplay videos of the Overcooked computer game. Our TPO mining algorithm can infer TPOs involving hundreds of events from thousands of data-points within a few seconds. We show that the resulting TPOs provide useful insights into the dependencies and timing constraints for workflows.

ANALYSIS OF RECORDED VIDEO THEATER PR ACTICE: FRIEND, BY IRINA KOUBERSKAYA

The article outlines a system of analysis of the theater prac-tice in situations of reconstruction. The repercussions of the absence of communicative interaction in the reception of the viewer are argued, especially as a result of the Corona virus and the global health crisis. It starts from the awareness that theater artists are in a constantly chang-ing world that brings with it specific demands to know what is really done on stage. Some analytical possibilities that open up with the audio-visual record of the theater are shown, comparing the cinematographic and theatrical genres, expanding the context of the research work to various hybrid audiovisual subgenres such as the trailer or the theatrical tea ser.For the analysis of the video recorded stage show Amiga, produced by Irina Kouberskaya at her Theater Company, Tribueñe, we first pro-ceed in general terms, explaining how the practice could be broken down into manageable and, in turn, relevant segments. Afterwards, the most typical theatrical activities in the staging are analyzed. Finally, we reflect on the preliminary usefulness of these explorations and the knowledge resulting from their application. The reality of the film re-cord studied shows that the applicability of video as documentation of theatrical praxis is subject to multiple intervening variables.

Analysis of Application and Creation Skills of Story-Based MV Micro Video and Big Multimedia Data in Music Communication

MV is an art type that uses TV pictures to supplement information and content that cannot be covered by music. With the rapid development of micro video technology and network technology, micro video has been rapidly popularized. Combining MV and micro video with mobile devices and platforms, it breaks the limitations of traditional movies, TV, and animation and becomes a new highlight of cultural communication in the new era. This paper starts with the selection of MV songs, story script, content design, MV shooting and editing skills, and introduces the specific creation methods of story MV in combination with local culture and proposes a music genre classification algorithm model DCNN-SSA based on spectral space domain feature concern. DCNN-SSA model effectively marks genre features of different music Mel spectrograms in the spatial domain and changes the network structure, thus improving the feature extraction effect while ensuring the validity of the model, thus improving the accuracy of music genre classification.

Multimodal Corpus Construction and Research of Intercultural Communication Based on Multiple Regression Equation

Abstract To promote the transformation of education and teaching concepts, guide the reform of teaching content and teaching methods, and promote the joint construction and sharing of high-quality curriculum teaching resources in colleges and universities through modern information technology, improve the quality of talent training and serve the construction of a learning society. Using video analysis and website research methods, the author takes the cross-cultural communication courses offered by 22 universities in the national excellent resource sharing courses published by the multimodal online corpus of “Love Course Network” as the research sample, taking the playability of teaching videos, noise level, picture definition, multimedia courseware playing, utilization of curriculum resources and network interaction as research contents, the construction and application of teaching videos are analyzed in depth. The results show that, in the construction of intercultural communication sharing courses, there are still problems such as poor playability of teaching videos, noise and poor picture clarity.

Adolescent user behaviors on short video application, cognitive functioning and academic performance

Despite the soaring popularity of short video application (SVA) worldwide and its unique affordances provided for adolescent development, little is known about its potential impact on adolescent users' cognitive ability. This study aimed to examine whether and how adolescents’ user behaviors regarding SVA, including daily usage and reliance on algorithmic recommendations, predict their cognitive functioning and academic performance. A sample of Chinese adolescents from two age cohorts (Mage = 12.25, SD = 0.02, N = 454; Mage = 15.21, SD = 0.02, N = 368) completed the survey on SVA user behavior and cognitive ability tests regarding academic delay of gratification (ADOG), working memory and verbal ability, with their academic performance assessed by final exam grades. The findings reveal that daily usage of SVA predicted lower ADOG and academic performance for both age cohorts. SVA daily usage also predicted lower working memory and verbal ability for the younger cohort only, which simultaneously mediated the associations between their user behaviors and poorer academic performance. And the dependency on algorithmic personalization predicted lower working memory for the younger cohort only. Regarding the age differences in SVA-related effects, the study further points out the higher susceptibility of younger adolescents to SVA use compared to their older counterparts, which should be noted by students, parents, educators and researchers so as to prevent the potentially negative impact of using SVA.

Deep Reinforcement Learning-Based Joint Scheduling of 5G and TSN in Industrial Networks

5th-Generation (5G) and Time-Sensitive Networking (TSN) are regarded as competitive new technologies for future industrial networks; 5G-TSN collaboration transmission has drawn more attention because it can provide a guarantee of low-latency, ultra-reliable and deterministic transmission for time-critical automation applications. However, the methodologies of resource scheduling mechanisms in 5G and Time-Sensitive Networking (TSN) are quite different, which may lead to an inefficient Quality of Service (QoS) guarantee for deterministic transmission across 5G and TSN. Therefore, an efficient 5G-TSN joint scheduling algorithm based on Deep Deterministic Policy Gradient (DDPG) is proposed and analyzed in this article. The proposed algorithm takes both 5G radio channel information and the Gate Control List (GCL) state in the TSN domain into consideration, aiming to provide a latency guarantee for time-triggered applications across 5G and TSN as well as a throughput guarantee for video applications in 5G systems. The simulation results compare the latency and throughput performance of the proposed joint scheduling algorithm with several traditional 5G scheduling algorithms; meanwhile, several GCL setting methods are given to verify the impacts on latency and throughput performance within the proposed algorithm. The simulation results demonstrate that the proposed DDPG-based joint scheduling algorithm can significantly enhance the multi-application-carrying capability of 5G-TSN collaboration architecture.

Exploring the Influence of Video Forms on Consumer Behavior

At present, e-commerce platform has become the main channel for people to shop, which has produced great economic value. Among them, consumer behavior is the key factor to improve the economic effect of e-commerce platform, and short video marketing, as an important marketing method to promote consumers' consumption at present, has a significant influence on consumers' consumption behavior. In the new era, people have become more and more inclined to watch videos to get information or relax themselves. However, the massive information makes attention become the scarcest resource in this era, and short video applications led by Tik Tok stand out. This article takes unboxing evaluation short videos as the research object, and conducts empirical analysis on the four dimensions of short video content marketing, namely informative content, authentic content, interesting content, and emotional content, with trust and perceived value as mediating variables, and consumer purchase intention as dependent variables. The results showed that the marketing dimension of evaluation based short video content had a direct impact on purchase intention, with trust and perceived value playing a partial mediating role between the two.

MULTIMEDIA INVOLVING LEARNERS STUDYING GERMAN LANGUAGE

Language classes are today equipped with latest technology which can help learners to improve their linguistic skills by involving them studying German language. Multimedia is very essential to present data for the learners to watch and learn language through video applications. Video application can increase adult students’ awareness to the linguistic knowledge. Besides, it can enhance their professional knowledge in visuals. This paper highlights some features concerning multimedia applications and its use in language classes of German.

Research on the User Experience of Infinite Up-scrolling on Chinese Short Video Software Douyin

Douyin/TikTok is a popular short-form video application popular around the globe. The infinite up-scrolling video stream system that it is using is applying to more and more diversified applications. This research focused on the infinite up-scrolling video stream systems influence on the Chinese user group and the public reaction towards it. A survey was conducted, and 145 valid answers were received. The questionnaire focused on the publics daily interaction with the up-scrolling system. Through the statistics received, it is shown that most people like the feeling caused by up-swiping, and they easily use it over time. This phenomenon is explained from the perspective of psychology. The psychology analysis also explained why people often spend more time in this system than they planned or expected. Meanwhile, there is a large percentage of the public using the up-scrolling system in applications that are primarily for other usages. The system was adopted into these applications later on through program updates. With this system, applications are able to make their users more dependent on them. Therefore, this system is getting more and more popular in all kinds of applications.

Multi-layer and Multi-scale feature aggregation for DIBR-Synthesized image quality assessment

Depth-Image-Based Rendering (DIBR) is one of the main fundamental techniques for generating new viewpoints in 3D video applications such as multi-viewpoint video (MVV), free viewpoint video (FVV) and virtual reality (VR). Due to the imperfections of color images, depth maps or texture restoration techniques, several types of distortions occur in synthesized views. However, most of related works evaluated the quality of DIBR-synthesized views by only detecting a specific type of distortion, such as stretching, black holes, blurring, etc., which were unable to accurately evaluate the quality of DIBR-synthesized views. In this paper, a new no-reference image quality assessment method is proposed to evaluate the quality of DIBR-synthesized images by combining multi-layer and multi-scale features of images. To be specific, the distortions introduced by different stages of virtual viewpoint synthesis are first analyzed, and then multi-layer and multi-scale features are extracted to estimate the degree of texture and structure distortions. As a result, individual quality scores associated with two types of distortions (e.g., structural distortion and texture distortion) are aggregated to an overall image quality. Experimental results on two publicly available DIBR datasets show that the method has better performance than the state-of-the-art models.Index Terms: image quality assessment, DIBR-synthesized image, distortion correction, BIQA.

Special Education Classrooms: Can Technology Use Inspired?

Purpose: This study aim to explore the inspiration of technology in conducting learning process for special education studens in classroom. Framework: It is common knowledge that education today requires teachers to be more creative in delivering learning and teaching in the classroom. Methodology: This study use qualitative approach in gathering the data. 12 teachers were interview in this studies. Findings: The result shows the rapidity of technology is now to some extent helping teachers find fresher ideas to conduct teaching in the classroom. The existence of various types of technology including gadgets, software, video applications and others are seen to be able to attract the interest of students in turn can achieve teaching objectives. However, some studies show that some teachers are less effective in the use of technology when teaching in the classroom. Implications: In addition to speeding up the process of obtaining information, the use of technology also actually helps understanding and attracts students to learning. It is hoped that the findings of this study can help future researchers to conduct further research. Value: This to some extent shows a loss to student learning. The use of technology should be utilized and used properly because space and opportunities for access to technology are now readily available.

Analysis on Competitive Strategy of Bilibili

The Internet and technology have contributed to the development of video sites. Bilibili is currently the most significant community-based video application in China, an ACG secondary culture community and video site that has gradually become a mature ecosystem. At the same time, Bilibili is also facing intense market competition. Its competitors are mainly China’s three major traditional video platforms: Tencent, Youku, and Aiki. Currently, the main competition pattern in the domestic online video platform industry is still oligopolistic competition, seeking differentiated development, i.e., a few head enterprises compete and survive together. As the head force in the optimization and innovation of content and services, the comprehensive video market supports the overall mobile video user scale and continues to pull up. Based on this, this study analyzes the competitive market environment of Bilibili.

Toward Low-Latency and High-Quality Adaptive 360$^\circ$ Streaming

Advanced 360-degree video streaming is essential for high-quality communication and industrial video applications, supporting novel and interactive visual experiences that promote consumption. However, due to the inherent fluctuations in communication networks, hardware resources, and power costs, a trade-off needs to be achieved between occupying network bandwidth and guaranteeing 360-degree visual quality. To address this issue, this paper proposes a quality-aware global optimization solution that combines different types of sensory characteristics to further enhance the 360-degree streaming efficiency in cellular networks. First, considering the characteristics of 360-degree video, each frame is divided into three different regions based on a proposed field-of-view (FoV) prediction method. Second, a new region-based rate-distortion model reflecting the bitrate-quality relationship is proposed. The divided regions are represented by different rate-distortion models. In addition, a rate-distortion model parameter update strategy with robustness to region changes is proposed to further guarantee transmission performance. Finally, we propose a globally optimized adaptive bitrate allocation algorithm to optimize 360-degree mobile streaming, which uses both the rate-distortion models and viewpoint prediction results. Evaluation results indicate that the proposed method outperforms state-of-the-art approaches in terms of several quality of experience (QoE) objectives under various network conditions.