Video Processing Technology Research Articles

AI-Powered Video and Image Processing for Video Meetings

The increasing dependence, on meetings has led to a need for advanced technologies that improve communication and teamwork dynamics swiftly evolving video and image processing technologies backed by AI are reshaping the realm of video conferencing by enabling instant enhancements and enhancing interaction quality and usability This research paper delves into how artificial intelligence is being incorporated into video meetings with a focus on practical uses, like real time background blurring and replacement automatic noise reduction facial expression recognition and participant monitoringIn addition, to that we will explore how AI can enhance video quality, compress images and optimize bandwidth. This showcases its ability to decrease delays and enhance video clarity in areas with bandwidth. We will delve into progress in AI algorithms like using learning for recognizing faces utilizing natural language processing, for instant transcription and detecting emotions.

Roles of physical collision forces and walking characteristics on pedestrian traffic flow status

The physical collision force between pedestrians affects the walking states of pedestrians. However, the relationship between physical collision force and pedestrian walking states remains unclear. To bridge this gap, a series of pedestrian-controlled experiments were designed. During the experiments, the physical collision forces were obtained using pressure sensors worn by the pedestrian. Walking characteristics, including speed and density, were obtained through video processing technologies from aerial videos taken by drones. Furthermore, the relationships between the physical collision forces and the walking characteristics were analyzed. The results show that, when the collision forces between pedestrians exceed 715 N, it will lead to the instability in the pedestrian traffic flow; when the collision forces are less than 400 N, the pedestrian walking state will remain stable; and when the collision forces are between 400 and 715 N, the pedestrian walking status may be described as in either an unstable or stable state.

Advancements in Video Deblurring: A Comprehensive Review

Video deblurring is a critical task in computer vision, aimed at restoring the clarity of videos distorted by motion blur or other factors. It holds immense importance across various domains, including surveillance, entertainment, medical imaging, and autonomous driving, where clear visual information is crucial for decision-making and analysis. This article provides an overview of recent advancements in video deblurring techniques, ranging from convolutional neural network (CNN)-based methods to Transformer-based models and event-based reconstruction approaches. By synthesizing insights from recent research, this review delves into the applications and methodologies of these techniques, showcasing their effectiveness in real-world scenarios. By fostering knowledge exchange and inspiring further advancements in the field, this review aims to contribute to the continuous improvement of video processing technologies for enhanced visual quality and analysis. Keywords: Video Deblurring, Video Restoration, deep learning, Convolutional Neural Networks, Event Based Reconstruction, Transformers, Image Processing

Application of Wireless Network Remote Sensing Image and Video Processing Technology in Smart City Design and planning

With the rapid development of society, regional urban construction has become the main guarantee of economic development, and smart city construction has become the main trend of regional development. Smart cities consist of information images and urban development, which can meet the needs of the modern generation for material life, knowledge and scientific life. Therefore, wireless remote sensing (RS) and video image processing have become key tools for the development of smart cities, which can solve the problems encountered by many professionals before, and become an integral part of urban construction. On this basis, this paper summarized the video processing image and wireless network RS image, and analyzed their development and application in urban design and layout. Based on this, this paper expounded the application of wireless network RS image in smart city design and layout, and analyzed the application prospects of RS technology in building smart city space-time information framework, RS+urban management, RS+smart environmental protection, RS+smart city agriculture and video processing technology in smart city design and planning. It analyzed the application in intelligent security, intelligent transportation and management visualization, and then used the two-dimensional discrete Fourier transform (2D-DFT) definition to strengthen the design and layout of smart cities. According to experiments and surveys, introducing 2D-DFT into the design and layout of smart cities can build a more intelligent city and improve residents’ satisfaction by 30%.

A Survey on Video Streaming for Next-Generation Vehicular Networks

As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireless communication technology to address network bottlenecks. Therefore, this study provides an exhaustive overview of the latest advancements in video streaming over vehicular networks. First, we introduce related work and background knowledge, and provide an overview of recent developments in vehicular networking and video types. Next, we detail various video processing technologies, including the latest released standards. Detailed explanations are provided for network strategies and wireless communication technologies that can optimize video transmission in vehicular networks, paying special attention to the relevant literature regarding the current development of 6G technology that is applied to vehicle communication. Finally, we proposed future research directions and challenges. Building upon the technologies introduced in this paper and considering diverse applications, we suggest a suitable vehicular network architecture for next-generation video transmission.

Capturing the pulse: a state-of-the-art review on camera-based jugular vein assessment.

Heart failure is associated with a rehospitalisation rate of up to 50% within six months. Elevated central venous pressure may serve as an early warning sign. While invasive procedures are used to measure central venous pressure for guiding treatment in hospital, this becomes impractical upon discharge. A non-invasive estimation technique exists, where the clinician visually inspects the pulsation of the jugular veins in the neck, but it is less reliable due to human limitations. Video and signal processing technologies may offer a high-fidelity alternative. This state-of-the-art review analyses existing literature on camera-based methods for jugular vein assessment. We summarize key design considerations and suggest avenues for future research. Our review highlights the neck as a rich imaging target beyond the jugular veins, capturing comprehensive cardiac signals, and outlines factors affecting signal quality and measurement accuracy. Addressing an often quoted limitation in the field, we also propose minimum reporting standards for future studies.

Visual Communication Design Method Based on Multimedia Information Processing Technology and Its Application

Abstract When the information society has become the mainstream environment, various applications of big data and computers have been popularized in various industries. Multimedia technology has always been a special part of the computer field. In audio, video, image processing, and transmission, multimedia information processing has become the main means to solve the above problems. The performance of this information processing technology is extremely powerful. It can not only process dynamic data but also complete the transmission task in the big data environment. Visual communication design is a way of transmitting information to the masses by using various effects, and it has its advantages in the selection of images, video, text, and other processing technologies. This paper mainly studies the concept, method, and application effect of visual communication design under multimedia information processing. Firstly, the application of multimedia information processing technology in various fields and countries is investigated. Based on the literature analysis and statistics, the advantage tendency of this technology is judged. Starting from the visual functions involved in visual communication, the application effect of the multimedia 3D image processing and rendering communication platform is used. The gray function is used to build the multimedia information processing platform and form a complete and effective evaluation system. Finally, the visual communication design optimized by multimedia processing technology is further analyzed to improve the defects of dynamic images in visual applications and further improve the impact of visual communication design on the masses. The results show that multimedia information processing technology can improve the efficiency of image data processing in visual communication design, and has a good impact on visual communication of dynamic information.

Video Surveillance Object Forgery Detection using PDCL Network with Residual-based Steganalysis Feature

Video surveillance has various applications in various fields and industries. However, the rapid development of video processing technology has made video surveillance information susceptible to multiple malicious attacks. At present, the state-of-the-art methods, including the latest deep learning techniques, cannot get satisfactory results when addressing video surveillance object forgery detection (VSOFD) due to the following limitations: (i) lack of VSOFD-specific features for effective processing and (ii) lack of effective deep network architecture designed explicitly for VSOFD. This paper proposes a new detection scheme to alleviate these limitations. The proposed approach first extracted VSOFD-specific features via residual-based steganalysis feature (RSF) from the spatial-temporal-frequent domain. Key clues of video frames can be more effectively learned from RSF, instead of raw frame images. Then, the RSF feature is used to form the residual-based steganography feature vector group (RSFVG), which serves as the input of our following network. Finally, a new VSOFD-specific deep network architecture called parallel-DenseNet-concatenated-LSTM (PDCL) network is designed, which includes two improved CNN and RNN modules. The improved CNN module fuses and processes the coarse-to-fine feature extraction and simultaneously preserves the frame independence in video frames. The improved RNN module learns the correlation features between the adjacent frames to identify forgery frames. Experimental results show that the proposed scheme using the PDCL network with RSF can achieve high performance in test error, precision, recall, and F1 scores in our newly constructed dataset (SYSU-OBJFORG + newly generated forgery video clips). Compared to existing SOTA methods, our framework achieves the best F1 score of 90.33%, which is greatly improved by nearly 8%.

Steerable pyramid with subpixel compensation for remotely measuring and magnifying dynamic vibration of moving objects

Measuring vibration generated by a moving object is difficult because the accelerometers must be mounted on the moving object. Moreover, the weight and damping ratio of the accelerometers could cause extra mass and damping effect on small moving objects, casting doubt on the accuracy of such measurements. This paper reports a novel method that can remotely measure vibration from the motion of an object captured by a high-speed camera. Aimed at magnifying subtle changes in the presence of large motions, several phase-based video process methods have been proposed previously. Although these methods can capture such subtle changes, they all have deficiencies. For instance, the pure Euler method needs to process every position of movement, making the process very slow if the video file is large. Furthermore, the methods that combine Eulerian and Lagrangian algorithms ignore the subpixel compensation of stabilization. This paper reports a novel dynamic video processing technology by combining phase-based video process technology with visual tracking. The reason for using visual tracking is to extract the target and detect its dynamic position. To compensate for the error induced during the process of video stabilization, the steerable pyramid method was applied to enhance the magnification of subtle vibration with small error. The proposed method was verified by experiments to show that it can effectively improve the signal-to-noise ratio (SNR). The results demonstrated that the vibration and motion generated from the moving object can be detected and measured with satisfactory SNR. With the help of such an innovative method, in the future, both the motion and vibration signals of fast-moving objects, like airplanes, cars, or even small structures, can be measured simultaneously and remotely using high-speed cameras that can also move.

Evaluation of training efficiency of table tennis players based on computer video processing technology

In this paper to improve the training efficiency of table tennis players, this paper applies computer video processing technology to the evaluation of training efficiency of table tennis players, and uses intelligent video processing to identify the training process of table tennis players. Moreover, this paper introduces the curve coordinates to mathematicalize the projection problem, establishes the spherical coordinate system and the plane coordinate system, obtains the spherical quadrilateral and the plane quadrilateral, obtains Euler's idea of establishing a projection suitable for table tennis, and obtains the road map of Euler's projection theory. In addition, this paper builds a training efficiency of table tennis players evaluation system based on projection algorithm and athlete feature recognition. Through the experimental research, it can be seen that the training efficiency evaluation system of table tennis based on computer video processing technology proposed in this paper can effectively improve the training efficiency of table tennis players.

Using Video Analytics to Improve Traffic Intersection Safety and Performance

Road safety has always been a crucial priority for municipalities, as vehicle accidents claim lives every day. Recent rapid improvements in video collection and processing technologies enable traffic researchers to identify and alleviate potentially dangerous situations. This paper illustrates cutting-edge methods by which conflict hotspots can be detected in various situations and conditions. Both pedestrian–vehicle and vehicle–vehicle conflict hotspots can be discovered, and we present an original technique for including more information in the graphs with shapes. Conflict hotspot detection, volume hotspot detection, and intersection-service evaluation allow us to understand the safety and performance issues and test countermeasures comprehensively. The selection of appropriate countermeasures is demonstrated by extensive analysis and discussion of two intersections in Gainesville, Florida, USA. Just as important is the evaluation of the efficacy of countermeasures. This paper advocates for selection from a menu of countermeasures at the municipal level, with safety as the top priority. Performance is also considered, and we present a novel concept of a performance–safety trade-off at intersections.

METHODOLOGY OF INCREASING THE RELIABILITY OF VIDEO INFORMATION IN INFOCOMMUNICATION NETWORKS AEROSEGMENT

Context. The problem of localization of the effect of errors in data transmission channels when using compression and noiseimmune coding methods in the conditions of compliance with the speed of data delivery in infocommunication systems of the aerosegment. The object of the study is coding methods for increasing the reliability of video information resources in infocommunication networks using airmobile platforms.
 Objective. The goal of the work is to methodology development of increasing the reliability of video information in the infocommunication networks of the aerosegment.
 Method. The use of noise-immune coding methods to ensure the required level of reliability of video information transmitted in infocommunication systems of the aerosegment has a number of significant disadvantages: it leads to a significant increase in the bit volume of compactly presented video data; the time delay for the delivery of video information is growing, which is critical in the conditions of using airmobile platforms. An increase in time delays in the process of delivering video information leads to the fact that the video information will not be transmitted in full and, as a consequence, in the conditions of aeromonitoring, to the loss of data reliability; time for processing video data increases. The advantage of using compression coding technologies to solve the problem of increasing the reliability of video information transmitted in infocommunication systems of the aerosegment is to reduce the bit volume of the video information resource. However, the existing video processing technologies are based on the use of statistical coding methods and the identification of a series of identical sequences of repeating elements. But the use of such technologies does not provide the required level of error localization. Restructuring method was developed based on identifying patterns in the internal binary structure of message elements by a quantitative attribute. The sign of the number of series of units in the binary structure of message elements is used as a tool for restructuring. Distinctive features of the method are that the restructuring of the information space is carried out without loss of integrity on the basis of structural features by the number of binary series.
 Results. The analysis of existing directions for solving the problem of increasing the level of reliability of video information transmitted in the infocommunication systems of the aerosegment was carried out. A method of internal data restructuring has been developed, which allows obtaining the following results: conditions are provided for additional reduction of structural redundancy of code representation of information due to significant reduction of information space capacity as a result of using internal data restructuring on the basis of the number of series of units; conditions are created for localization of errors in the process of reconstruction of video information resources; conditions are created to reduce the time for data processing, due to the fact that the developed method of data restructuring does not require transformations over the elements of the message.
 Conclusions. It is necessary to improve the existing compression coding technologies in the direction of identifying patterns, taking into account which will allow localizing the destructive effect of errors arising in the communication channel.

The Application of Real-Time Video Processing Technology in English Culture Teaching

In order to improve the effect of English culture teaching, this paper combines the real-time video image processing technology to construct an English culture teaching system. Moreover, this paper selects the image processing based on octree structure with the advantages of full 3D modeling and being updatable, flexible, and compact by comparison. At the same time, this paper analyzes the existing Gaussian-based inverse sensor model that can be used for monocular vision and improves the measurement inverse sensor model for stereo vision published by Andert. In addition, this paper deeply analyzes the influence of key parameters of the improved measurement inverse sensor model and realizes the real-time octree occupancy grid map of the improved measurement inverse sensor model. Finally, after improving the real-time video processing technology, this paper evaluates the application effect of the method proposed in this paper in English culture teaching. The experimental research results show that the real-time video processing technology proposed in this paper has a good effect in English culture teaching, and it can be applied to English culture teaching to improve the effect of English culture teaching.

A Random Matrix Network Model for the Network Teaching System of College Music Education Courses

How to improve the teaching management model has always been an important part of the research and exploration of university music teaching management. Based on the random matrix network theory, this paper builds a random matrix network model and uses the random matrix network of Internet/Intranet to realize the electronic and networked multimedia information management, which makes the data query more flexible and convenient. In the random matrix network environment, the security of the model network is greatly improved, which solves the expansion problem of the random matrix network. During the simulation process, the model integrates the relevant image, audio, video, animation, and other multimedia processing technologies and storage technologies. The system adopts object-oriented analysis and design ideas to analyze the requirements, adopts the random matrix network architecture, and uses tomcat as the server, and the SQL Server database launched by Microsoft is used as the back-end data support, and the Struts architecture is designed by using the MVC development mode to ensure the system has good maintainability and enhanced data processing capabilities. The experimental results show that the response time of the system login verification is less than 2 seconds, the response time of adding users is less than 2 seconds, the response time of downloading assignments is less than 2 seconds, the response time of uploading courseware is less than 3 seconds, and the response time of checking the results is less than 2 seconds. The separation of technology effectively improves the scalability and maintainability of the system.

Design and Fabrication of X-Y Gantry Mechanism using Python: A Review

Abstract: A crane is a machine that is primarily used to handle big weights in a variety of jobs. For instance, building work, shipbuilding, cargo transportation, and the cement industry may all benefit from this technology since it allows them to monitor and control their video processing systems using a PC. Cranes are frequently utilized in the industrial sector around the world to boost productivity and minimize personnel. Cranes are used to transport loads from one location to another. During this movement, there are typically unwanted vibrations and variations in the hoisted weight that must be managed. This paper gives a review of a new way for operating an overhead crane that uses a PC (Portable Computer), RF (Radio Frequency), and video processing approach to operate the crane from a certain distance. The crane movement is now controlled directly by the crane operator; nevertheless, due to the human inability to handle the crane efficiently, the crane speed is severely limited. This procedure allows a single employee to handle the crane from a greater distance by watching the location of each and every movement towards and away from the crane using a video processing technology and a radio frequency controlling system. The technology use computer vision to identify load location, which is then used to optimize crane operation. The intimation of the PC monitors reveals that the accident levels to become decline for handling the overhead crane even by operator, according to the technology for sustaining job.

Artificial Intelligence in Construction of English Classroom Situational Teaching Mode Based on Digital Twin Technology

It is combined the digital twin technology to construct the English classroom situational teaching mode. The system uses advanced virtual reality technology and computer image technology and combines with video and audio synchronization processing technology to provide a new set of methods for students’ language learning. The scene interactive teaching system’s graphics rendering server produce and create 3D virtual scenes or actual photos in real time. Furthermore, according to the English classroom teaching situation, this paper constructs the functional modules of the situational teaching system, conducts an in-depth analysis of the system implementation methods, expresses the system core algorithm flow in the form of diagrams and tables, and obtains the overall system framework. Finally, it is evaluated the effect of the English classroom situational teaching model proposed in this paper through experimental research. From the experimental results, it can be seen that the teaching model proposed in this paper is very effective.

Aided Evaluation of Motion Action Based on Attitude Recognition

For athletes who are eager for success, it is difficult to obtain their own movement data due to field equipment, artificial errors, and other factors, which means that they cannot get professional movement guidance and posture correction from sports coaches, which is a disastrous problem. To solve this big problem, combined with the latest research results of deep learning in the field of computer technology, based on the related technology of human posture recognition, this paper uses convolution neural network and video processing technology to create an auxiliary evaluation system of sports movements, which can obtain accurate data and help people interact with each other, so as to help athletes better understand their body posture and movement data. The research results show that: (1) using OpenPose open-source library for pose recognition, joint angle data can be obtained through joint coordinates, and the key points of video human posture can be identified and calculated for easy analysis. (2) The movements of the human body in the video are evaluated. In this way, it is judged whether the action amplitude of the detected target conforms to the standard action data. (3) According to the standard motion database created in this paper, a formal motion auxiliary evaluation system is established; compared with the standard action, the smaller the Euclidean distance is, the more standard it is. The action with an Euclidean distance of 4.79583 is the best action of the tested person. (4) The efficiency of traditional methods is very low, and the correct recognition rate of the method based on BP neural network can be as high as 96.4%; the correct recognition rate of the attitude recognition method based on this paper can be as high as 98.7%, which is 2.3% higher than the previous method. Therefore, the method in this paper has great advantages. The research results of the sports action assistant evaluation system in this paper are good, which effectively solves the difficult problems that plague athletes and can be considered to have achieved certain success; the follow-up system test and operation work need further optimization and research by researchers.

Research on Wushu Sports Feedback System Based on Real-Time Target Intelligent Tracking Video Processing

In order to better improve the martial arts learning effect, this paper puts forward the design method of martial arts motion feedback system based on target intelligent tracking video processing, optimizes the hardware configuration of the system, adds a composite tracker to the system, so as to effectively track the motion changes of different human targets, and further combines the real-time target intelligent tracking video processing technology and builds a moving target tracking model; then, based on the calculation of motion characteristic parameters, CRF method is used for motion behavior recognition and feedback. Finally, simulation studies reveal that a martial arts motion feedback system based on real-time target intelligent tracking video processing can track moving targets more accurately and has the potential for practical implementation.

Application of Video Processing Technology Based on Diffusion Equation Model in Basketball Analysis

Video event detection and annotation work is an important content of video analysis and the basis of video content retrieval. Basketball is one of the most popular types of sports. Event detection and labeling of basketball videos can help viewers quickly locate events of interest and meet retrieval needs. This paper studies the application of anisotropic diffusion in video image smoothing, denoising, and enhancement. An improved form of anisotropic diffusion that can be used for video image enhancement is analyzed. This paper studies the anisotropic diffusion method for coherent speckle noise removal and proposes a video image denoising method that combines anisotropic diffusion and stationary wavelet transform. This paper proposes an anisotropic diffusion method based on visual characteristics, which adds a factor of video image detail while smoothing, and improves the visual effect of diffusion. This article discusses how to apply anisotropic diffusion methods and ideas to video image segmentation. We introduced the classic watershed segmentation algorithm and used forward-backward diffusion to process video images to reduce oversegmentation, introduced the active contour model and its improved GVF Snake, and analyzed the idea of how to use anisotropic diffusion and improve the GVF Snake model to get a new GGVF Snake model. In the study of basketball segmentation of close-up shots, we propose an improved Hough transform method based on a variable direction filter, which can effectively extract the center and radius of the basketball. The algorithm has good robustness to basketball partial occlusion and motion blur. In the basketball segmentation research of the perspective shot, the commonly used object segmentation method based on the change area detection is very sensitive to noise and requires the object not to move too fast. In order to correct the basketball segmentation deviation caused by the video noise and the fast basketball movement, we make corrections based on the peak characteristics of the edge gradient. At the same time, the internal and external energy calculation methods of the traditional active contour model are improved, and the judgment standard of the regional optimal solution and segmentation validity is further established. In the basketball tracking research, an improved block matching method is proposed. On the one hand, in order to overcome the influence of basketball’s own rotation, this article establishes a matching criterion that has nothing to do with the location of the area. On the other hand, this article improves the diamond motion search path based on the basketball’s motion correlation and center offset characteristics to reduce the number of searches and improve the tracking speed.

Automatic Recognition System of Motion Posture Based on Information Video Processing Technology

With the rapid development of science and technology, information video processing technology has become a research field that has attracted widespread attention. Automatic recognition of motion gestures is an important research object in the field of information technology. It has been widely used in education, medical treatment and finance, and has promoted the further development of this technology. The application of information video processing technology in motion posture and automatic recognition of motion posture contribute to better scientific education and technical diagnosis. This article is based on the research of automatic motion detection system based on video information processing technology. Based on the summary and analysis of relevant research work at home and abroad, this paper mainly studies the detection of moving posture targets, the segmentation of moving posture targets, and the automatic recognition of moving posture tracking in video sequences based on the characteristics of the motion posture. This research aims to effectively improve the effect of automatic recognition of sports high poses while appropriately reducing the computational complexity. The research focuses on finding simpler and more informative automatic recognition methods of sports poses, and a large number of targeted methods have been carried out. This research uses these algorithms to extract moving images from videos, and proposes an automatic recognition method of motion gestures based on information video processing technology. Experimental results show that the average error rate of the system designed in this paper is 89.5%, which can meet the current application requirements for automatic recognition of motion gestures.