Video Applications Research Articles

Touch IoT enabled by wireless self-sensing and haptic-reproducing electronic skin

Tactile sensations are mainly transmitted to each other by physical touch. Wireless touch perception could be a revolution for us to interact with the world. Here, we report a wireless self-sensing and haptic-reproducing electronic skin (e-skin) to realize noncontact touch communications. A flexible self-sensing actuator was developed to provide an integrated function in both tactile sensing and haptic feedback. When this e-skin was dynamically pressed, the actuator generated an induced voltage as tactile information. Via wireless communication, another e-skin could receive this tactile data and run a synchronized haptic reproduction. Thus, touch could be wirelessly conveyed in bidirections between two users as a touch intercom. Furthermore, this e-skin could be connected with various smart devices to form a touch internet of things where one-to-one and one-to-multiple touch delivery could be realized. This wireless touch presents huge potentials in remote touch video, medical care/assistance, education, and many other applications.

AdaEnlight

The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device processing of video streams to deliver real-time, high-quality services for privacy and robustness concerns. However, the performance of these applications is constrained by the raw video streams, which tend to be taken with small-aperture cameras of ubiquitous mobile platforms in dim light. Despite extensive low-light video enhancement solutions, they are unfit for deployment to mobile devices due to their complex models and and ignorance of system dynamics like energy budgets. In this paper, we propose AdaEnlight, an energy-aware low-light video stream enhancement system on mobile devices. It achieves real-time video enhancement with competitive visual quality while allowing runtime behavior adaptation to the platform-imposed dynamic energy budgets. We report extensive experiments on diverse datasets, scenarios, and platforms and demonstrate the superiority of AdaEnlight compared with state-of-the-art low-light image and video enhancement solutions.

Improving the accuracy of adherence data collected using medication monitoring technology in clinical research

Ambiguous adherence data adversely effects the statistical analyses, study conclusions, and generalizability of research findings for clinical trials. Fortunately, technology-based measures of drug dosing provide more objective measures of medication adherence. While adherence data obtained through monitoring technology avoids the well documented shortcomings of self-reported adherence data, there are important limitations and nuances with use of these technologies that should be considered at study inception, conduct, and analysis. This article describes considerations for data collection and management with use of electronic adherence monitoring, specifically mobile-phone video applications or electronic pillbox devices. The overall aim of this communique is to provide research teams the ability to collect more accurate adherence data and ultimately improve the quality and outcome of their research.

Value Creation of Mobile Usage amongst Generation Z in Delhi and Pune

A mobile gadget in hand is no more merely a simple device used for communication today but it has become an extension of every individual personality and lifestyle. These wireless gadgets have multi-purpose use such as for telephonic interactions, for expressing ones opinions, beliefs, emotions, for self-entertainment, for online shopping, for online banking transactions, travel bookings etc. Mobile phones are not merely a fad but its transforming the way millions of people do business or use it as a tool to enhance their market reach. As per Indian Brand Equity Foundation Report (IBEF), the Indian Telecom Industry with total 110.01 million connections is the fifth largest in the world and is growing rapidly. Metropolitan areas constitute major share of the telecom subscriptions at 60 percent and the balance being at the rural level. Whether population is living in rural or urban settlements, educated or not educated, demographics across varied age groups are reliant on mobile phones and cannot seek their existence without the same. With the government fair and proactive regulatory framework, low – priced handsets, aggressive marketing strategies, telecom services have been made available to the masses at much reasonable prices. Telecom Industry is the highest employment generator in the country. Penetration of these wireless broadband services has further extended the reach of the internet across geographical boundaries. India is experiencing a transition from desktop internet access to an “on-the-go” experience. The emerging wave in the Indian Telecom Industry is the Third Generation and Fourth Generation technology. The technology is intended for Smartphones which is a multimedia phone handset with a high density screen resolution that is an upgrade over the computer with plentiful features and applications that are driving the mobile industry such as camera, audio – video, internet surfing, voice calls, messaging, emails, microsoft office and other mobile applications. The name ”Smartphone” refers to improvements in the speed, ease and convenience in data transfer over the Internet, portability and wireless connectivity that has led to the popularity of such portable hand devices.

A novel spectrum handoff switching decision scheme for improved performance of secondary users in cognitive radio network

SummarySpectrum handoff (SH) in the cognitive radio network (CRN) is considered as a key challenging area to enhance the performance of secondary users (SUs) in CRN. If the primary user is detected, the SU may pause and stay on the same channel or may perform SH to another idle channel. An accurate and precise handoff decision improves the overall throughput and quality of experience of end‐users. In this paper, we introduce a new SH algorithm and continuous short‐sensing strategy to improve the overall throughput of SUs. In addition, we have derived the minimum length of the target channel sequence based on network‐specific parameters like desired call dropping probability. Further, an optimum channel search time is obtained to minimize the handoff delay. The simulation result shows that the proposed scheme improves the overall throughput of CRN, and the mean opinion score of different video applications increases by 10%, 4.6%, and 1% for rapid motion, gentle walk, and slight motion types of video applications. In the case of VoIP applications, the maximum simultaneous call is improved by 2 times in the case of G.711, 1.72 times in the case of G.729, and 1.66 times in the case of iLBC.

Review of Islamic Law on Giving Rewards to Users of the Snack Video Application in the City of Pare-Pare

Review of Islamic Law on Giving Rewards to Snack Video Application Users in Parepare City. From the results of this study it was found that the application of the ujrah contract related to giving rewards to video snack application users in the city of Parepare, is fully in accordance with the concept of the ujrah contract where there is a job carried out by snack video users by completing missions given such as inviting friends, doing check-in every day, follow and like videos of other users and become content creators, so that users are entitled to get rewards after the work is completed, but according to a review of Islamic law the income from watching videos and the wages earned by ating content contains elements of gharar, namely ambiguity in it and can cause makruh even the heart causes the income generated to become illegitimate, because there are activities that can damage maqashid sharia in the daruriyyat element, namely hifdz al-mal, preserving assets from things that can make them haraam, and also on the mission of watching videos it is not known how many a definite amount, because every time you complete a mission the reward coins you get are different, this is not in accordance with the concept of pillars and conditions of ujrah, namely wages must be stated clearly. Meanwhile, the mission of inviting friends using referrals is included in the pure contract of giving from the video snack company.

An Energy-Efficient SIFT Based Feature Extraction Accelerator for High Frame-Rate Video Applications

Visual feature extraction is a key technology of computer vision for intelligent video processing. Efficient feature extraction is a fundamental problem in computer vision applications. Scale-Invariant Feature Transform (SIFT) is one of the most popular feature extraction algorithms because SIFT features are invariant to image scale and rotation and robust to changes in illumination and noise. However, SIFT is a computationally-intensive and power-hungry algorithm, which needs to be accelerated by efficient hardware design to achieve both high-speed feature extraction and high energy efficiency for many high frame-rate video applications at Artificial-intelligent Internet of Things edges. In this work, an energy-efficient SIFT based feature extraction accelerator is proposed. In the Gaussian pyramid and Differences of Gaussian (DoG) pyramid construction process, three design methods are proposed to reduce power consumption and improve information fidelity: a fast and slow dual clock domain design method with a reconfigurable design strategy is proposed to reduce the computation resources; a partial sum reuse design method is proposed to further reduce the computation resources and the amount of computation; a dynamic padding design method is proposed to solve the problem of information loss at image edges and corners after convolution operation. In the keypoint descriptor generation process, an optimized algorithm using circular region and polar coordinates is proposed to parallelize the main orientation assignment and descriptor generation to achieve high-speed processing, while maintaining a comparable matching accuracy with the state-of-the-art designs. The experiment results show that the proposed SIFT hardware accelerator is able to extract features by up to 162 frames per second ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$640\times 480$ </tex-math></inline-formula> pixels) under 100 MHz, with the power consumption of 364.26 mW and energy efficiency of 2.25 mJ/frame based on 180 nm technology, which is suitable for many high frame-rate AIoT applications including autonomous driving cars and unmanned aerial vehicles.

THE VOCABULARY MASTERY OF THE SEVENTH GRADE STUDENTS OF SMP NEGERI 4 BAUBAU BY USING ANIMATION VIDEO

The problem statement of this research was does the use of animation video improve the vocabulary mastery of seventh grade students of SMP Negeri 4 Baubau. The objective of this research was to find out whether or not the use of animation video improve the vocabulary mastery of seventh grade students of SMP Negeri 4 Baubau. The type of the research was a quantitative research with applying quasi- experimental method. The population was the seventh grade students of SMP Negeri 4 Baubau as many as 325 students. The sample was taken using cluster random sampling amounted 58 students. The data collection was carried out by using an instrument that was test. The data obtained were analyzed by descriptive statistics and inferential statistics. Based on the results of data analysis, it can be concluded that there is a significant effect of the application of animation video on the vocabulary mastery of seventh grade students at SMP Negeri 4 Baubau. The t-test results show that the probability value (t-count) is 2.295 and sig (2-tailed) is 0.025 which is less than 0.05 so that the alternative hypothesis (Ha) is accepted and the null hypothesis (HO) is rejected. It means, there is a significant effect before and after the application of animation video, as well as the average value of pre-test and post-test experimental class 51.55 to 80.76. as well as the control class 55.24 to 70.28.

THE EFFECTIVENESS OF SHORT ANIMATION VIDEO ON STUDENTS’ VOCABUARY MASTERY

The problem in this research was whether there was a significant difference on students’ vocabulary mastery before and after the application of short animation video? The objective of the research was to determine the effectiveness of using short animation video on students’ vocabulary mastery. This research uses a pre-experimental method. The subject of the research consisted of 26 students of class VII at SMPN 7 Baubau. This research was one group pretest-posttest. The procedure of the research consisted of three steps. They were pretest, treatment, and posttest. The data was collected by using the test which was analyzed by quantitative analysis. The research outcome indicated that: 1) the mean value of the pretest was 44.12 and the mean score of the posttest was 68.85. 2) from the hypothesis result by using the t-test, obtained tcount was 4.564, and the sig. (2-tailed) was 0.000 smaller than 0.05, so that, Ha is accepted and Ho is rejected. it meant that there was a significant difference on students' vocabulary mastery before and after the application of the short animation video. Therefore, teaching vocabulary in SMPN 7 Baubau by using short animation video was effective.

Gratification of Yarmouk University Mass Communication Students’ Use of Mobile Phones

The aim of the current research is to study the uses of the mobile phone by students of the Faculty of Mass Communication at Yarmouk University as a means of communication and the gratifications achieved from it. The study adopts the survey method and is based on the two theories of media richness and digital transformation and it employes a questionnaire adminstered to a sample of 300 students of the Faculty of Mass Communication, Yarmouk University. The findings of the study show that the media students at Yarmouk University use their mobile phones intensively, and they use the mobile phone as a means of communication to a high degree. Further, the findings show that the use of the mobile phone satisfies the media students in a high degree, and it provides them with a means of entertainment, communication, and provides them with useful information. They use mobile social network applications to a high degree, the highest for live video applications, and the lowest for editing.

Ethnoscience-Based Mind Mapping Video Using Indigenous Knowledge to Practice Student’s Science Literacy Ability

Research aims to determine differences in scientific literacy skills and student responses after applying ethnoscience-based mind-mapping videos using indigenous knowledge. Type of research is pre-experimental with one group pretest-posttest design. The sample used was 22 students taken by purposive sampling technique. The data analysis technique used paired sample t-tests and descriptive statistics. Based on the study's results, it was found that (1) there were differences in students' scientific literacy skills before and after the application of ethnoscience-based mind mapping videos using indigenous knowledge, and (2) the average student response with very good criteria. The results of the application of ethnoscience-based mind mapping videos using indigenous knowledge have an impact on (1) science learning innovations in junior high schools and universities in teaching science material in the context of culture and local wisdom and developing scientific literacy skills of students and prospective science teacher students; and (2) strengthening the profile of Pancasila students using the promotion of diversity through ethnoscience. This research implies that how students practice their science literacy skills on indigenous knowledge can use video mind mapping in addition to e-modules, pop-up books/the like and help preserve local wisdom for the next generation.

Drawing on grief: Adapting heuristic inquiry in a practice led thesis

In this presentation, I consider the role and the nature of heurisitic inquiry in the creation of hybrid documentaries. These hybrid documentary artefacts combine interviews, observational video and various applications of animation to translate the narratives of grief into visual and sonic stories. In this research study, it is the grief we experience due to the loss of a loved one which is investigated. I am positioned as an ‘inside researcher’ (Kirpitchenko &amp; Voloder, 2014) who examines a question that is both personally significant and existential. Using a heuristic inquiry through a self-investigation, a self-dialogue and a reflection, I build on my knowledge about the understanding of loss. This presentation uses my initial case studies of a practice-led inquiry to examine how a heuristic inquiry can be employed to enable a documentary maker to navigate internal pathways of the self, while interpreting other people’s shared, reflective narratives of grief. I will demonstrate how a heuristic inquiry can activate plasticity in exploration and heighten the potentials for discovery in the pursuit of a creative practice. Building on Wood’s (2004) assertion that heuristics is more concerned with discovery than the pursuit of proof, this research study considers a heuristic inquiry as a conceptual framework (Douglass &amp; Moustakas, 1990), that engages intuitive questioning which enables similarities, analogies or homologies to surface while artistic data is being generated (Kleining and Witt, 2000). In the session, four novel processes of heuristic engagement will be discussed: maintaining a consciously poetic sensibility that embraces the vulnerability of the practitioner whilst protecting the interviewee; extending periods of indwelling and reflection on the artefacts produced; practicing aroha (showing consideration, connection, love and respect); and pursuing and embracing serendipity as a means of enhancing the possibilities for discovery and novel approaches to practice.

IV-PSNR—The Objective Quality Metric for Immersive Video Applications

This paper presents a new objective quality metric that was adapted to the complex characteristics of immersive video (IV) which is prone to errors caused by processing and compression of multiple input views and virtual view synthesis. The proposed metric, IV-PSNR, contains two techniques that allow for the evaluation of quality loss for typical immersive video distortions: corresponding pixel shift and global component difference. The performed experiments compared the proposal with 31 state-of-the-art quality metrics, showing their performance in the assessment of quality in immersive video coding and processing, and in other applications, using commonly used image quality assessment databases– TID2013 and CVIQ. As presented, IV-PSNR outperforms other metrics in immersive video applications and still can be efficiently used in the evaluation of different images and videos. Moreover, basing the metric on the calculation of PSNR allowed the computational complexity to remain low. Publicly available, efficient implementation of IV-PSNR software was provided by the authors of this paper and is used by ISO/IEC MPEG for evaluation and research on the upcoming MPEG Immersive video (MIV) coding standard.

PROCESS OF HUMAN TRAFFICKING IN TRADE OF INNOCENTS MOVIE

Film has a purpose to convey a story idea in the form of moviing images. to create an interesting story idea, the use of cinematography aspects used to show how a story tells in visual moving images. In the film Trade of Innocents (2012) tells the story of the process of human trafficking children undearge that occurs in Cambodia. The purpose of analysis to discover the process of human trafficking. The method used in this article is qualitative method. The data used in this analysis is scenes image on Trade of Innocents film which can be accessed on Prime Video application. The object of analysis focuses on the process of human trafficking in the film. The result of research process of human trafficking found in two stages. First, it show how the process of recruiting victims by directly abduction or buying the victim from family themself. Second, show how the process of selling victim of human trafficking in brothel house start from offering the victim to the customer then sell them after the customer do payment to the human trafficker. In that case, the victim of human trafficking get exploitation by forced labour in world of prostitution.&#x0D; Keywords: Victim, Process of Recruitment Human Trafficking, Exploitation

A quality enhancement network with coding priors for constant bit rate video coding

Video coding can effectively compress data, while the introduction of compression artifacts degrades the visual quality and the performance of artificial intelligence video applications. Video quality enhancement (VQE) methods can improve compressed video quality without modifying the coding standard’s main modules. The existing VQE works mainly aim to improve video quality in the constant quantization parameter (CQP) coding mode. However, constant bit rate (CBR) coding mode is widely used in some streaming playback video applications, and VQE at CBR is more challenging than that at CQP. This article presents a novel Constant bit rate Video quality enhancement Network combined with Coding priors (CVCN). The proposed CVCN can be inserted into High Efficiency Video Coding (HEVC) codec as a CNN-based in-loop filter (LF) module or a post-processing module out of the codec. Moreover, we design a two-pass training strategy for the LF module to overcome multiple filtering. To adapt the QP diversity of CBR videos, we utilize the coding unit (CU)-wise QP prior by constructing a CU-wise QP adaptive module (CQAM) and a QP adaptive multi-scale residual block (QAMSRB) based on CQAM. We construct the CU-partition prior (CPP) by exploiting the relationship between the compression noise and CU partition information. A novel CPP spatial-attention block is proposed to combine the CPP with the self-attention module. Furthermore, the proposed CVCN can effectively enhance CBR videos at different bits per pixel (BPP) via a single model. Extensive experimental results show the superiority of the CVCN over state-of-the-art VQE approaches for CBR videos.

Optimize Image Processing Algorithm on ARM Cortex-A72 and A53

This work presents a technique to optimize processing image algorithms. The increasing demand for video applications like context-aware computing on mobile embedded systems requires the use of computationally intensive image processing algorithms. The system engineer has the mandate to optimize them so as to meet real-time deadlines. A methodology to take advantage of the asymmetric dual-core processor, which includes an ARM supported by shared memory, is presented with implementation details. The target platform chosen is the NanoPi M4V2. It has a dual-core and quad-core architecture with an ARM Cortex-A72 and Cortex-A53. The basic image correlation algorithm is chosen for benchmarking as it finds widespread application for various template-matching tasks such as face recognition. The basic algorithm prototypes conform to OpenCV, a popular computer vision library. OpenCV algorithms can be easily ported to the ARM core, which runs a popular operating system such as Linux. The algorithms are tested on a variety of images, and performance results are presented, measuring the speedup obtained due to dual-core and quad-core implementation. A major advantage of this approach is that it allows the ARM processor to perform important real-time tasks.

What are the ethical considerations of using video social media platforms such as TikTok in your dental practice?

What are the ethical considerations of using video social media platforms such as TikTok in your dental practice?

Color appearance models CAM16, ZCAM and CAM20u for video applications

This work is devoted to the study of the possibility to use color perception models for processing streaming videos. The paper describes the principles of the control of image parameters which depend on the image adaptive properties. Methods for obtaining adaptive parameters such as brightness of adaptation, brightness of stimulus and brightness of background, as well as observation conditions are described. The CAM16 color perception model is accepted as the main one as well as the ZCAM and CAM20u models as the promising ones. The usability of color perception models is estimated, namely, the change of color rendering vector is assessed. It is shown that the chromaticity points that make up the color tone lines have a different nature of change – slope, shape. The estimates of the dependence of transmitted colors on lightness are provided. It is demonstrated that the lightness parameter is more non-linear character CAM20u as compared to the previous models.

The Income of Business Snack Video Application on the Covid-19 Pandemic toward Islamic Economic Law Perspective in Bukittinggi

In this research, there are two issues that are studied, firstly how is the business practice of Snack Video applications during the Covid-19 pandemic, secondly how is the perspective of Islamic economics law on the practice and income of the Snack Video application business. Researchers use the field method (field research). This research is qualitative research, then the data is described, analyzed, and discussed to answer these problems. So from the results of the study, it was found that the implementation of the Snack Video application business during the Covid-19 pandemic in Bukittinggi had there aspects, how to use the Snack Video application, how to exchange coins and become money from the Snack Video application and the motivation to use the Snack Video application was in accordance with the provisions. The Snack Video application and in accordance with the provisions of Islamic economy, which is not contrary to Islamic economy, as for cashing out the coins generated from the Snack Video application, it can be disbursed through the application. Money accepted by users is sourced from the company Joyo Technology, Pte. Ltd. and this is mutually beneficial for both parties. According to Islamic law, the contract on Snack Video application consisted of ijarah contract and juala contract which includes 4 missions to get coins that can be exchanged in the form of money. This contract is allowed so that the income earned from the Snack Video application business is included in the jaizah (allowed).

Compression artifact reduction of low bit‐rate videos via deep neural networks using self‐similarity prior

This paper presents a hybrid scheme that integratedly uses self-similarity prior and deep convolutional neural network (CNN) fusion for compression artifact reduction in low bit-rate video applications. Based on the temporal correlation hypothesis, the self-similarity prior is extended to the temporal domain by using as references not only the current decoded frame but also its neighbouring frames. Furthermore, being cognizant of that the bicubic downsampling process can typically improve the perceptual quality of a video coded at low bit-rate, for each small patch in the current frame, we search for similar patches in down-scaled versions of these references, and then form several self-similarity prior based predictions by tiling these similar patches at corresponding positions. To further exploit information flow across scales, a deep CNN model is constructed that contains two sub-networks to estimate the final output. One sub-network takes the self-similarity prior based predictions along with the decoded frame itself; and the other takes the down-scaled versions of these frames as network input. Experimental results demonstrate that the proposed method can remarkably improve, both subjectively and objectively, quality of compressed video sequences of low bit-rates.