Television Pictures Research Articles

Automatic lip-reading classification using deep learning approaches and optimized quaternion meixner moments by GWO algorithm

Lip-reading classification has received a lot of interest in recent decades because it is widely used in a variety of fields. It plays an important role in interpreting spoken words in noisy situations and reconstructing communication processes for those with hearing impairments. Despite significant advancements in this field, there are still several drawbacks in existing work such as feature extraction and Model capability for visual speech recognition. For these reasons, the current paper suggests an Optimized Quaternion Meixner Moments Convolutional Neural Network (OQMMs-CNN) method that intends to develop a Visual Speech Recognition (VSR) system based only on video images. This unique method combines OQMMs optimized for the GWO algorithm and convolutional neural networks taken from deep learning techniques with the aim of recognizing digits, words, or letters displayed as input videos.The OQMMs are used here as descriptors with the purpose of identifying, holding, and extracting essential information from video images (lips images) and generating moments for CNN input. The latter uses Meixner polynomials, which are defined by local parameters α and β. Then, the Grey Wolf optimization method (GWO) is applied to enssure excellent classification accuracy by optimizing those local parameters. After being tested on three public datasets such as AVLetters, Grid, AVDigits, and LRW, and comparing to several ways using complicated models and deep architecture, the method emerges as an excellent solution for reducing the high dimensionality of video pictures and training time.

PERKEMBANGAN SOSIO-EMOSI KANAK-KANAK MELALUI PEDAGOGI PERMAINAN DRAMA KREATIF [DEVELOPMENT OF SOCIO-EMOTIONAL ASPECTS IN CHILDREN THROUGH CREATIVE DRAMA PEDAGOGY

This study was conducted to investigate the effectiveness of drama games on the socio-emotional development of empathy, self-confidence, and friendship among six-year-old children. The study has two objectives, which is to identify Drama Games that are attractive, unique, and suitable for the socio-emotional development of six-year-old children and to analyze the effectiveness of the selected Drama Games in addressing negative traits that contradict the socio-emotional aspects of children. This study involves six sample kanak-kanak among six-year-old children divided into two groups, three childrens from experimental group kanak-kanakts (EG) and three childrens from control group kanak-kanakts (CG). The study was conducted at two Kemas Kindergartens located in Penang. The research instrument employed is a qualitative method through observations in the form of video recordings, pictures, and field notes. Data obtained from video recordings were used to observe the level of socio-emotional development, which was then recorded in the form of checklists, anecdotal records, and subsequently interpreted in a scale rate. The study findings have shown that the medium of Drama Games can stimulate the socio-emotional development of preschool children in terms of empathy, self-confidence, and friendship.

Creation of a three-dimensional model of a landscape of the left bank of the Akhangaran reservoir using a phontom 4 pro quadrocopter

The purpose of the work under study is to create a three-dimensional model of a landslide on a dangerous section of the left bank of the Akhangaran reservoir, which is located in the Angren district, Tashkent region of the Republic of Uzbekistan, using unmanned aerial photography. In order to display the landslide area in as much detail and accuracy as possible, aerial photography was carried out by a Phontom4 pro multi-rotor unmanned aerial vehicle (Chinese company DJI) with a 4K camera and an object tracking function. camera DSC-RX1R with a focal length of 35 mm over an area of 162 hectares. Four 1:500 scale aerials were completed on site, with a longitudinal overlap of 70% and a transverse overlap of 50%. Aerial photography was carried out at an altitude of 70 meters. The total number of aerial photographs was 936. The length of all air routes was 122.7 km. The article examines in great detail the functions of the quadcopter, the uniqueness of its camera, which is capable of shooting video in 4K format (4096 by 2160 pixels) at a speed of 60 frames/sec, as well as taking 14 photos per second in burst mode, and at the same time broadcasting video picture to a synchronized tablet or phone. For the first time in a DJI camera of this size, a mechanical shutter is used, which allows you to shoot dynamic scenes without the “jelly effect”, and it is also noted that an improved battery with a capacity of 5350 mAh increased the drone’s flight time to almost 30 minutes. The paper notes the purpose of the Agisoft Metashape software, in which aerial photography materials were processed, and also describes the technology for creating a 3D model for the landslide section of the left bank of the Akhangaran reservoir.

No-reference image contrast quality assessment of new media video based on generated perceptual difference

The reference quality evaluation method is constrained by the reference image, and the reference image cannot be obtained in practical application. The new media video picture contrast no reference quality evaluation model based on the generated perceptual difference is designed to provide a scientific basis for improving the new media video picture quality. Taking the video image to be evaluated and the given gradient difference image as an input, a visual perceptual difference image is generated through the confrontation learning of the generation network and the discrimination network in the generation of the countermeasure network; The regression network of quality assessment is trained with the quality score of the image to be evaluated and its true contrast as input; The generated perceptual difference image and the image to be evaluated are input to the trained quality assessment regression network, to obtain the contrast quality assessment score output of the image to be evaluated. The results show that the model can generate visual perceptual difference images of different video images, so as to master the contrast distortion characteristics of different images, and complete the contrast quality assessment of different images based on this. The results obtained are consistent with the subjective assessment scores, the average values of SROCC, PLCC and RMSE in the evaluation results of this model are 0.9804, 0.9749 and 3.1266, respectively. the overall assessment results are accurate, and the assessment performance is stable and reliable.

Democratizing Health Care in the Metaverse: How Video Games can Monitor Eye Conditions Using the Vision Performance Index: A Pilot Study

In a world where digital media is deeply engrained into our everyday lives, there lies an opportunity to leverage interactions with technology for health and wellness. The Vision Performance Index (VPI) leverages natural human-technology interaction to evaluate visual function using visual, cognitive, and motor psychometric data over 5 domains: field of view, accuracy, multitracking, endurance, and detection. The purpose of this study was to describe a novel method of evaluating holistic visual function through video game-derived VPI score data in patients with specific ocular pathology. Prospective comparative analysis. Patients with dry eye, glaucoma, cataract, diabetic retinopathy (DR), age-related macular degeneration, and healthy individuals. The Vizzario Inc software development kit was integrated into 2 video game applications, Balloon Pop and Picture Perfect, which allowed for generation of VPI scores. Study participants were instructed to play rounds of each video game, from which a VPI score was compiled. The primary outcome was VPI overall score in each comparison group. Vision Performance Index component, subcomponent scores, and psychophysical inputs were also compared. Vision Performance Index scores were generated from 93 patients with macular degeneration (n= 10), cataract (n= 10), DR (n= 15), dry eye (n= 15), glaucoma (n= 16), and no ocular disease (n= 27). The VPI overall score was not significantly different across comparison groups. The VPI subcomponent "reaction accuracy" score was significantly greater in DR patients (106 ± 13.2) versus controls (96.9 ± 11.5), P= 0.0220. The VPI subcomponent "color detection" score was significantly lower in patients with DR (96.8 ± 2.5; p=0.0217) and glaucoma (98.5 ± 6.3; P= 0.0093) compared with controls (101 ± 11). Psychophysical measures were statistically significantly different from controls: proportion correct (lower in DR, age-related macular degeneration), contrast errors (higher in cataract, DR), and saturation errors (higher in dry eye). Vision Performance Index scores can be generated from interactions of an ocular disease population with video games. The VPI may offer utility in monitoring select ocular diseases through evaluation of subcomponent and psychophysical input scores; however, future larger-scale studies must evaluate the validity of this tool. Proprietary or commercial disclosure may be found after the references.

Drowsy Driver Detection using Deep Learning

Abstract: The face is an essential body feature that reveals a lot of information. When a driver is fatigued, their facial expressions change from what they would be in a normal state, such as their eyes blinking more frequently than usual. In this study, we used CNN algorithm to recognize signs of driver drowsiness such as blinking and length of eye closure. CNN algorithm uses video pictures. Due to the drawbacks of existing techniques, we propose a unique face-tracking algorithm to enhance tracking accuracy. Based on human key characteristics, we applied a unique detection algorithm i.e. CNN. Then, using these parts of the face, the drivers' drowsiness is evaluated by watching their eye movements. We have calculated the system's accuracy, which is around 97%.

Implementation Paper on Human Activity Recognition for Military Restricted Areas

Abstract: HAR is a field of study that aims to develop algorithms and techniques for automatically identifying and classifying human activities. Different people can execute an activity in various ways, and the same action might have numerous versions. Modern human activity recognition systems are largely taught and utilised on video stream and picture data in order to identify the features and activities, variations in the data having similar or related movements. Human-to-human and human-computer contact both heavily rely on human activity recognition. Systems that are manually operated take much longer and cost more money. The goal of this project is to develop a quicker, more affordable system for recognizing human activity and detect threats proactively through live camera. This system will help the end user in a variety of applications, such as surveillance and assistance in examination centres, hospitals, restricted areas, banks etc. by identifying the activity being carried out in the video or picture and give out alerts if detected any suspicious activity. Not only will this system be affordable, but it also functions as a utility-based system that can be integrated into a variety of applications to speed up and assist with various tasks that require recognition, which will result in significant time savings and high accuracy.

Invalidating indigenous religious traditions via Christianity: Popular Ghanaian gospel songs/music

This paper is about a subtle means deployed by followers of Christianity in delegitimizing Indigenous Religious Traditions (IRTs) in Ghana. It traces the activities of the historical debut of both the fourteenth-century Portuguese entry and the 19th-century missionary activities. It argues that local gospel music lyrics are meant to communicate a message to the listener, and the message is geared almost all the time towards delegitimizing the mainstay IRTs and their contents. The current generation of Christians, even though headed by Africans, are following suit of what happened earlier in those two periods—employing various means in expanding Christianity in an attempt to shrink or uproot IRTs. Lyrics and graphic video pictures in Songs/Music have been an ardent device directed to this agenda. Using historical and the content analysis method in analysing fifty local Ghanaian gospel music, we noted the genre in the songs as fear, spiritual battle between the enemy, the devil (witches, dwarves, juju,) disease, and God, power, empowerment, healing, freedom, and appellations. The recurring markers from songs composed by both known musicians and anonymous composers were grouped into three broad themes and analyzed. Findings indicate that the local gospel songs depict a plan to undermine IRTs by distinguishing between good and evil. Supplier, giver of good things (God and his son Jesus), and the destroyer and detractor of good things is the (devil) present in IRTs.

Dynamic Interference Suppression for TV White Space: the Case of Thailand

In this work, we study the problem of co-existence between the LTE (Long Term Evolution) and the Digital Terrestrial Television Broadcasting (DTTB) channel. There are three scenarios: co-channel, upper and lower adjacent channels. We use the broadcasted signal from channel 3 called ThaiPBS, the actual case of Thailand for our study where the standard of digital terrestrial television broadcasting is DVB-T2 adopting 8 MHz bandwidth, while the 5 MHz bandwidth of LTE is considered as the interference. We propose a dynamic interference suppression method for increasing spectrum usage by optimizing TV white space utilization and minimizing interference. This method adopts the protection ratio concept to suppress the LTE interference on TV receiver. We implement our proposed algorithm as an adaptive interference controller using a Radio Frequency (RF) attenuator and a Raspberry Pi board for our testbed hardware. We illustrate the effectiveness of our proposed algorithm by doing experiment using our testbed and assessing the quality of the received TV signal by adopting the Quality of Experience (QoE) assessment. In our testbed hardware, a Log Periodic antenna is used for receiving the DTTB signal, while an RF digital transmitter is used for generating a 5MHz bandwidth of LTE signal, an ultra-high frequency (UHF) mixer is used to combine both signals, then a field strength meter is used to monitor video picture quality and to analyze the spectrum. According to the experiment, our proposed method can reduce the perceived video distortion by at least 62.5% for co-channel and 87.5% for adjacent channel, while the spectrum usage is increased by 100%.

Stochastic Study on CNN Approach for Classifying Images

Recent years have seen a surge in interest in artificial intelligence and computer vision applications, which are essential for many real-time tasks like video summarization, picture retrieval, and image categorization. Convolutional neural networks, which are employed in numerous image processing and computer vision applications, are one of the most popular deep learning techniques. In this study, a CNN model for classifying colour images is proposed. The proposed model was developed using deep learning tools in MATLAB. Additionally, three separate datasets of varying sizes were used to test the suggested model. With the largest dataset, the suggested model produced the highest accuracy, precision, and sensitivity results, which are as follows: accuracy is 0.9924, precision is 0.9947, and sensitivity is 0.9931 when compared to other models

Motivation to quit tobacco; Impact of different types of Anti-tobacco state-sponsored media propaganda messages.

Antitobacco media messages can easily reach the mass and play a very positive and significant role in changing the motivational stages among recent quitters. Motivation is the key to changing human behaviour. Motivation can be intrinsic and extrinsic. To modify tobacco-related behaviour, one must have an inherent motivation to quit tobacco. However, the outside factors, for example, protobacco advertisements, antitobacco advertisements, peer pressure, celebrity influence, and family members' influence cannot be ignored. A total of 400 recent tobacco quitters were enrolled from four colleges via a multistage sampling method. Time series research design was used for data collection at three time periods 0, 1, and 3 months. Study participants were divided into four groups: 1) personal testimony group, 2) health warning group, 3) celebrity-influenced public service announcements, and 4) natural exposure group. Media messages containing antitobacco video clippings and pictures were delivered to the participants via phone thrice a week, as per the groups assigned. All four groups were assessed for the motivational stage via contemplation ladder at 0, 1, and 3 months of intervals. Antitobacco personal testimonial media messages are most effective in enhancing the motivation to quit tobacco, followed by the antitobacco health warning messages, which are also proven to be effective in maintaining high motivation levels to remain abstinent from smoking. However, public service announcements are ineffective in keeping the motivation to quit tobacco at higher smoking. Overall, the antitobacco state-sponsored media messages, personal testimonials, and health warnings about tobacco products effectively maintain and enhance motivation to quit tobacco.

REWETTING AND TRANSIENT HEAT TRANSFER ON THE HEATED HORIZONTAL TUBE SURFACE DURING THE AIR-ATOMIZED SPRAY COOLING

The purpose of this study is to investigate the cooling and rewetting of a heated horizontal tube surface with an air-atomized water spray impingement. Rewetting and transient heat transfer are crucial in nuclear reactor safety during a postulated accident, such as cooling of hot calandria tubes (CT) during the large-break loss of coolant accident (LOCA). The rewetting velocity in the circumferential direction and the rate of cooling of the heated tube surface were determined as a function of nozzle operating parameters. To estimate the local spray impingement density on the tube surface, an in-house mechanical patternator was designed and developed. To record the flow state during cooling, a high-speed video camera was used. The rewetting velocity on the tube surface was determined using the outcome of thermocouples mounted on the heated tube wall and an imaging system used to record the video picture during the runs. The two techniques of calculating rewetting velocity are compared. The highest heat flux removed from the tube surface was estimated as 3.7 MW/m<sup>2</sup>, and the maximum rewetting velocity was found to be 5.58 mm/s. An excellent agreement regarding rewetting velocity has been reported utilizing thermocouples and a high-speed camera.

Research on Digital Display of Nonlinear System Model of Tea Drinking Space in the Song Dynasty Based on Neural Network Technology

Tea is the national drink of the Chinese nation. It combines the thoughts of various Chinese schools and has experienced the changes and baptism of successive dynasties and has been spread to this day. It is difficult to achieve the inheritance of tea culture by relying on ordinary display methods. In order to better display the digital effect of the nonlinear system model of the tea space in the Song Dynasty, using digital display, we can design the layout of the tea space in the Song Dynasty through video, audio, and dynamic pictures, which plays an important role in the inheritance of tea culture. This study analyzes the tea drinking space and tea culture and spreads the historical and cultural value of digital display; by comparing the comprehensive performance analysis and cultural extension results under different displays, as well as the desire for knowledge of history and culture, we can make an in-depth exploration. Through the statistical data information, we can conclude that under the function of digital technology, advanced science and technology and digital technology have a good effect in cultural inheritance, they can better promote the spirit of history and culture, and make the torch of history and culture live and pass on from generation to generation.

Application of Neural Network and Virtual Reality Technology in Digital Video Effects

With the continuous innovation of technology, digital technology is more and more widely used in the production of TV shows and movies and plays an important role. The effective application of digital video effects technology can enhance the visual effects of the overall TV and film works and improve the quality of the works. After the use of digital special effects in film and television production, people see more exquisite film and television pictures, but today’s technology is not enough to meet people’s growing demand for film and television pictures. This paper applied neural network and virtual reality technology to the production process of digital video effects and conducted a comparative experiment with the digital video effects produced by using the current technology. The special effects were evaluated in four aspects: image fidelity, sound distortion, picture fluency, and production efficiency. The experimental results show that after applying neural network and virtual reality technologies, the image fidelity of digital video effects is increased by 6.74%, the sound distortion is reduced by 7.69%, the picture fluency is increased by 6.89%, and the production efficiency is increased by 7.91%. Applying the neural network and virtual reality technology can improve the quality and efficiency of digital video special effects production.

DRONES IN WAR OF UKRAINE WITH RUSSIA

The war in Ukraine is not a first military conflict where the unmanned aerial vehicles (UAV) are used. Due to numerous publications presented mainly by the Ukrainian side the world almost in real time can receive information and video pictures illustrating their operational efficiency. The purpose of the paper is to investigate the inventory of unmanned vehicles used by two fighting sides and describe the results of their use from the beginning of the conflict until the end of August, 2022.

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Computer-aided technology is a system of personal confidential interaction between computer and users under the guidance of people. Due to the continuous development of computer technology, this technology has been used in many fields. Computer-aided design is the use of computer systems to assist designers in engineering or product design. It is a technology to achieve the best design effect. Three-dimensional (3D) animation is not limited by time and space. It uses various forms of expression to express complex and abstract program content, scientific principles, and abstract concepts in centralized and simplified forms. The creative feature of animation is that the author does not use the advanced 3D technology to present the real world to the audience. Here, we aim to study the 3D animation image design and image enhancement based on computer-aided technology, hoping to make the 3D animation more realistic and make the film and television picture clearer with the help of computer-aided technology. We expound the current situation of 3D graphics research. We analyze the current development of the 3D animation industry. We propose an extreme value constraint based on spatial variation and a convolution algorithm based on learning a ringing images. The experimental results show that after Retinex method processes the image, the matching feature points of the target image in the scale-invariant feature transformation algorithm are 55. The correct matching rate of feature points after homomorphic filtering is 0.85. The number of correct matching points of the image processed by Retinex method changes greatly, and the change of homomorphic filtering is small.

FPGA-Based Photoelectric Detection Control System with Image Signal Acquisition

It has as of late been feasible to foster calculations for video picture handling utilizing field programmable gate arrays (FPGAs). A wide scope of video picture handling applications has been made conceivable by the FPGA’s exceptional plan. On two FPGA structures, three such calculations will be executed in FPGAs in this paper. Programming has developed less valuable in video handling as picture sizes and bit profundities have expanded. Video handling requires rapid continuous frameworks like those that are the focal point of this review. Satellite and ground-based identification frameworks create a great deal of information, which may be hard to manage. Specifically, lessening how much information to be handled by DSP frameworks guarantees that main applicable information is given to a human expert. Video handling in what is to come is probably going to depend on DSP frameworks, with minimal human mediation. Human information investigators are costly and may not be totally exact; accordingly, this is obviously invaluable.

PENGARUH PENGGUNAAN MEDIA AUDIO VISUAL TERHADAP TINGKAT PEMAHAMAN SISWA DALAM PEMBELAJARAN FIQH

Audio visual media is one of the learning media that can be used by teachers in learning fiqh. Audio-visual media can be a tool or intermediary when the teacher explains fiqh materials. In addition to making it easier for teachers to explain, students can understand the material more quickly and easily. Based on this, the research objectives in this paper are to determine the meaning and purpose of using audio-visual media, to find out the various audio-visual media in fiqh learning, to determine strategies for using audio-visual media in fiqh learning and to determine the effect of using media audio-visual to improve understanding of fiqh learning. In this research, the writer uses library research method or literature review. From the results of the literature review, it was found that audio-visual media is a medium that is used as an intermediary to reach the concept of ideas and experiences so that they can be captured by the senses of sight and hearing. The purpose of using audio-visual media in learning fiqh is as a teaching aid that will affect the conditions and learning environment arranged by the teacher. To be able to generate learning motivation and improve understanding of fiqh learning and the effectiveness of the learning process in delivering lesson content. Various kinds of audio-visual media that can be used in learning fiqh include motion audio-visual media and silent audio-visual media. Motion audio-visual media includes sight, hearing, and movement, and displays elements of moving images such as sound films, television, video and motion pictures. The silent audio-visual media are in the form of sound films or live pictures and television which displays sound and still images such as sound, sound sequence films, sound prints. The strategy of using audio-visual media in learning fiqh can be done by the teacher in the classroom or outside the classroom. The two places can be varied according to the conditions and conditions at the time of the learning. Because the teacher's strategy in using audio-visual media will have a very good influence on increasing student interest, motivation and learning outcomes in fiqh learning.

Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things

Consumer demand for automobiles is changing because of the vehicle’s dependability and utility, and the superb design and high comfort make the vehicle a wealthy object class. The creation of object classes necessitates the creation of more sophisticated computer vision models. However, the critical issue is image quality, determined by lighting conditions, viewing angle, and physical vehicle construction. This work focuses on creating and implementing a deep learning-based traffic analysis system. Using a variety of video feeds and vehicle information, the developed model recognizes, categorizes, and counts vehicles in real-time traffic flow. The dynamic skipping method offered in the developed model speeds up the processing of a lengthy video stream while ensuring that the video picture is delivered accurately to the viewer. In real-time traffic, standard vehicle retrieval may assist in determining the make, model, and year of the vehicle. Previous MobileNet and VGG19 models achieved F-values of 0.81 and 0.91, respectively. However, the proposed solution raises MobileNet’s frame rate from 71.2 to 89.17 and VGG19’s frame rate from 48.2 to 59.14. The method may be applied to a wide range of applications that require a dedicated zone to monitor real-time data analysis and normal multimedia operations.

Central venous catheterization into the femoral vein

A central venous catheter (CVC) is usually placed to replace the spilled blood volume or inject a vasopressor. Among central catheterizations, the anatomy of the femoral vessel is lesser complex than that of others, and femoral venous catheterization is most easily cannulated percutaneously. However, endovascular training should be considered to complete the deployment of the central catheter and prevent complications systematically. Therefore, this study aimed to share the precise CVC procedure in the femoral vein and to impart endovascular techniques through simulation video clips and pictures.