Log in

Relevant bibliographies by topics / Video image analysi / Journal articles

To see the other types of publications on this topic, follow the link: Video image analysi.

Journal articles on the topic 'Video image analysi'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Video image analysi.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Patil, Shivganga, and Lakshmi Patil. "DESIGN AND ANALYSIS ON IMAGE COMPRESSION USING NEURAL NETWORKS." ICTACT Journal on Image and Video Processing 14, no. 4 (2024): 3301–4. http://dx.doi.org/10.21917/ijivp.2024.0469.

Full text

Abstract:

Due to the explosion of video based information proliferating in the world due to the ubiquitous usage of video cameras the amount of video based information that is currently being generated around the world is huge. And due to security purposes it is becoming imperative that these video data needs to be stored in computer memory for an extended period of time for referrals by security agencies. Because of the advancement of imaging technologies that is being used nowadays it is possible to capture extremely detailed high definition images. But it is not physically possible to store all these

APA, Harvard, Vancouver, ISO, and other styles

2

Alothman, Raya Basil, Imad Ibraheem Saada, and Basma Salim Bazel Al-Brge. "A Performance-Based Comparative Encryption and Decryption Technique for Image and Video for Mobile Computing." Journal of Cases on Information Technology 24, no. 2 (2022): 1–18. http://dx.doi.org/10.4018/jcit.20220101.oa1.

Full text

Abstract:

When data exchange advances through the electronic system, the need for information security has become a must. Protection of images and videos is important in today's visual communication system. Confidential image / video data must be shielded from unauthorized uses. Detecting and identifying unauthorized users is a challenging task. Various researchers have suggested different techniques for securing the transfer of images. In this research, the comparative study of these current technologies also addressed the types of images / videos and the different techniques of image / video processin

APA, Harvard, Vancouver, ISO, and other styles

3

Deng, Zhaopeng, Maoyong Cao, Yushui Geng, and Laxmisha Rai. "Generating a Cylindrical Panorama from a Forward-Looking Borehole Video for Borehole Condition Analysis." Applied Sciences 9, no. 16 (2019): 3437. http://dx.doi.org/10.3390/app9163437.

Full text

Abstract:

Geological exploration plays a fundamental and crucial role in geological engineering. The most frequently used method is to obtain borehole videos using an axial view borehole camera system (AVBCS) in a pre-drilled borehole. This approach to surveying the internal structure of a borehole is based on the video playback and video screenshot analysis. One of the drawbacks of AVBCS is that it provides only a qualitative description of borehole information with a forward-looking borehole video, but quantitative analysis of the borehole data, such as the width and dip angle of fracture, are unavail

APA, Harvard, Vancouver, ISO, and other styles

4

Livingston, Merlin L. M., and Agnel L. G. X. Livingston. "Processing of Images and Videos for Extracting Text Information from Clustered Features Using Graph Wavelet Transform." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 557–61. http://dx.doi.org/10.1166/jctn.2019.7768.

Full text

Abstract:

Image processing is an interesting domain for extracting knowledge from real time video and images for surveillance, automation, robotics, medical and entertainment industries. The data obtained from videos and images are continuous and hold a primary role in semantic based video analysis, retrieval and indexing. When images and videos are obtained from natural and random sources, they need to be processed for identifying text, tracking, binarization and recognising meaningful information for succeeding actions. This proposal defines a solution with assistance of Spectral Graph Wave Transform

APA, Harvard, Vancouver, ISO, and other styles

5

Guo, Jianbang, Peng Sun, and Sang-Bing Tsai. "A Study on the Optimization Simulation of Big Data Video Image Keyframes in Motion Models." Wireless Communications and Mobile Computing 2022 (March 16, 2022): 1–12. http://dx.doi.org/10.1155/2022/2508174.

Full text

Abstract:

In this paper, the signal of athletic sports video image frames is processed and studied according to the technology of big data. The sports video image-multiprocessing technology achieves interference-free research and analysis of sports technology and can meet multiple visual needs of sports technology analysis and evaluation through key technologies such as split-screen synchronous comparison, superimposed synchronous comparison, and video trajectory tracking. The sports video image-processing technology realizes the rapid extraction of key technical parameters of the sports scene, the pano

APA, Harvard, Vancouver, ISO, and other styles

6

Ms.Jayakrishana Bharathi S, Ms.Dharani M, and Ms.Prasika S. "Hybrid Deep CapNet-VGG19 Model for Detecting Forged Images and Videos." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1111–16. https://doi.org/10.47392/irjaeh.2025.0160.

Full text

Abstract:

In recent days, Video and image forgery detection becomes significant aspect due to modern editing software which offers powerful and easy to handle tools for the manipulation of videos. a technique of video detection faces much more challenges like video dataset, post-processing issues, noise, computational time/complexity, deepfake detection approach and insufficient anti-forensic. Consequently, this concern is addressed in this work by presenting a deep capsule network model based forensic detection. For this purpose, this paper presented a Deep learning (DL) based model for the detection o

APA, Harvard, Vancouver, ISO, and other styles

7

Aparna, RR. "Swarm Intelligence for Automatic Video Image Contrast Adjustment." International Journal of Rough Sets and Data Analysis 3, no. 3 (2016): 21–37. http://dx.doi.org/10.4018/ijrsda.2016070102.

Full text

Abstract:

Video surveillance has become an integrated part of today's life. We are surrounded by video cameras in all the public places and organizations in our day to day life. Many useful information like face detection, traffic analysis, object classification, crime analysis can be assessed from the recorded videos. Image enhancement plays a vital role to extract any useful information from the images. Enhancing the video frames is a major part as it serves the further analysis of video sequences. The proposed paper discusses the automatic contrast adjustment in the video frames. A new hybrid algorit

APA, Harvard, Vancouver, ISO, and other styles

8

Kim, Jie-Hyun, Sang-Il Oh, So-Young Han, et al. "An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer." Cancers 14, no. 23 (2022): 6000. http://dx.doi.org/10.3390/cancers14236000.

Full text

Abstract:

We previously constructed a VGG-16 based artificial intelligence (AI) model (image classifier [IC]) to predict the invasion depth in early gastric cancer (EGC) using endoscopic static images. However, images cannot capture the spatio-temporal information available during real-time endoscopy—the AI trained on static images could not estimate invasion depth accurately and reliably. Thus, we constructed a video classifier [VC] using videos for real-time depth prediction in EGC. We built a VC by attaching sequential layers to the last convolutional layer of IC v2, using video clips. We computed th

APA, Harvard, Vancouver, ISO, and other styles

9

Xu, Longcheng, Deokhwan Choi, and Zeyun Yang. "Deep Neural Network-Based Sports Marketing Video Detection Research." Scientific Programming 2022 (March 19, 2022): 1–7. http://dx.doi.org/10.1155/2022/8148972.

Full text

Abstract:

With the rapid development of short video, the mode of sports marketing has diversified, and the difficulty of accurately detecting marketing videos has increased. Identifying certain key images in the video is the focus of detection, and then, analysis can effectively detect sports marketing videos. The research of video key image detection based on deep neural network is proposed to solve the problem of unclear and unrecognizable boundaries of key images for multiscene recognition. First, the key image detection model of the feedback network is proposed, and ablation experiments are conducte

APA, Harvard, Vancouver, ISO, and other styles

10

Shreyas, D. G., Sumanth Kaushik V, and H. S. Gururaja. "Suitability of Single Image Super-Resolution Models for Video Super-Resolution." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 368–71. https://doi.org/10.35940/ijeat.E9575.069520.

Full text

Abstract:

This project is an attempt to understand the suitability of the Single image super resolution models to video super resolution. Super Resolution refers to the process of enhancing the quality of low resolution images and video. Single image super resolution algorithms refer to those algorithms that can be applied on a single image to enhance its resolution. Whereas, video super resolution algorithms are those algorithms that are applied to a sequence of frames/images that constitute a video to enhance its resolution. In this paper we determine whether single image super resolution models can b

APA, Harvard, Vancouver, ISO, and other styles

11

Guangyu, Han. "Analysis of Sports Video Intelligent Classification Technology Based on Neural Network Algorithm and Transfer Learning." Computational Intelligence and Neuroscience 2022 (March 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/7474581.

Full text

Abstract:

With the rapid development of information technology, digital content shows an explosive growth trend. Sports video classification is of great significance for digital content archiving in the server. Therefore, the accurate classification of sports video categories is realized by using deep neural network algorithm (DNN), convolutional neural network (CNN), and transfer learning. Block brightness comparison coding (BICC) and block color histogram are proposed, which reflect the brightness relationship between different regions in video and the color information in the region. The maximum mean

APA, Harvard, Vancouver, ISO, and other styles

12

Wang, Hongze, and Qianjun Liu. "Constructing and Disseminating the Urban Image of the Xi’an Metropolitan Area in the Era of the “Short Video Turn”." Journal of New Media and Economics 1, no. 4 (2024): 6–11. https://doi.org/10.62517/jnme.202410402.

Full text

Abstract:

In the context of the “short video turn”, the dissemination medium, represented by short videos, has infinitely enhanced the communication capabilities of individuals. This study uses methods such as content analysis, comparative research, and focus group interviews to summarize the current state of urban image communication in the Xi’an Metropolitan Area. It aims to understand the general perceptions of users regarding the urban image of the Xi’an Metropolitan Area on short video platforms, and to identify problems in the construction and dissemination of the city’s image. The study suggests

APA, Harvard, Vancouver, ISO, and other styles

13

Kihn, Kyle, Clementine A. D. Thomas, and Tinatin I. Brelidze. "VICR: A novel software for unbiased video and image analysis in scientific research." PLOS ONE 19, no. 10 (2024): e0312619. http://dx.doi.org/10.1371/journal.pone.0312619.

Full text

Abstract:

In scientific research, objectivity and unbiased data analysis is crucial for the validity and reproducibility of outcomes. This is particularly important for studies involving video or image categorization. A common approach of decreasing the bias is delegating data analysis to researchers unfamiliar with the experimental settings. However, this requires additional personnel and is prone to cognitive biases. Here we describe the Video & Image Cutter & Randomizer (VICR) software (https://github.com/kkihnphd/VICR), designed for unbiased analysis by segmenting and then randomizing the se

APA, Harvard, Vancouver, ISO, and other styles

14

E, Arun, Deepak S, Prakash T, and K. Ashok kumar. "Video Forgery Detection with Deep Learning Using RESNET and CNN Algorithm." International Research Journal of Computer Science 11, no. 04 (2024): 234–41. http://dx.doi.org/10.26562/irjcs.2024.v1104.17.

Full text

Abstract:

Video forgery is continuously increasing in the digital world due to breaches of information security, consequently establishing a scenario for image and video content monitoring for forgery identification. The spread of fake videos raises security risks and anarchy in society. The reason for video forgery is to the augmentation in the malware, which has facilitated user (anyone) to upload, download, or share objects online comprising audio, images, or video. With the development of technology and ease of creation of fake content, the manipulation of media is carried out on a large scale in re

APA, Harvard, Vancouver, ISO, and other styles

15

Lokkondra, Chaitra Yuvaraj, Dinesh Ramegowda, Gopalakrishna Madigondanahalli Thimmaiah, Ajay Prakash Bassappa Vijaya, and Manjula Hebbaka Shivananjappa. "ETDR: An Exploratory View of Text Detection and Recognition in Images and Videos." Revue d'Intelligence Artificielle 35, no. 5 (2021): 383–93. http://dx.doi.org/10.18280/ria.350504.

Full text

Abstract:

Images and videos with text content are a direct source of information. Today, there is a high need for image and video data that can be intelligently analyzed. A growing number of researchers are focusing on text identification, making it a hot issue in machine vision research. Since this opens the way, several real-time-based applications such as text detection, localization, and tracking have become more prevalent in text analysis systems. To find out more about how text information may be extracted, have a look at our survey. This study presents a trustworthy dataset for text identificatio

APA, Harvard, Vancouver, ISO, and other styles

16

Yao-DongWang, Idaku Ishii, Takeshi Takaki, and Kenji Tajima. "An Intelligent High-Frame-Rate Video Logging System for Abnormal Behavior Analysis." Journal of Robotics and Mechatronics 23, no. 1 (2011): 53–65. http://dx.doi.org/10.20965/jrm.2011.p0053.

Full text

Abstract:

This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and High-Frame-Rate (HFR) video recording simultaneously. In IDP Express, 512×512 pixel images from two camera heads and the processed results on a dedicated FPGA (Field Programmable Gate Array) board are transferred to standard PC memory at a rate of 1000 fps or more. Owing to the simultaneous HFR video processing and recording, IDP Express can be used as an intelligent video logging system for long-term high-speed phenomenon analysis. In this paper, a real-time abnormal behavior

APA, Harvard, Vancouver, ISO, and other styles

17

Zhao, Jian Hua, Xue Jun Li, and Peter Han Joo Chong. "Video Compression Using Hybrid Neural Representation with High-Frequency Spectrum Analysis." Electronics 14, no. 13 (2025): 2574. https://doi.org/10.3390/electronics14132574.

Full text

Abstract:

Recent advancements in implicit neural representations have shown substantial promise in various domains, particularly in video compression and reconstruction, due to their rapid decoding speed and high adaptability. Building upon the state-of-the-art Neural Representations for Videos, the Expedite Neural Representation for Videos and Hybrid Neural Representation for Videos primarily enhance performance by optimizing and expanding the embedded input of the Neural Representations for Videos network. However, the core module in Neural Representations for Videos network, responsible for video rec

APA, Harvard, Vancouver, ISO, and other styles

18

Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

Full text

Abstract:

Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the vid

APA, Harvard, Vancouver, ISO, and other styles

19

Yin, Xiao-lei, Dong-xue Liang, Lu Wang, et al. "Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning." Cardiovascular Innovations and Applications 6, no. 1 (2021): 17–24. http://dx.doi.org/10.15212/cvia.2021.0011.

Full text

Abstract:

Cardiac coronary angiography is a major technique that assists physicians during interventional heart surgery. Under X-ray irradiation, the physician injects a contrast agent through a catheter and determines the coronary arteries’ state in real time. However, to obtain a more accurate state of the coronary arteries, physicians need to increase the frequency and intensity of X-ray exposure, which will inevitably increase the potential for harm to both the patient and the surgeon. In the work reported here, we use advanced deep learning algorithms to find a method of frame interpolation for cor

APA, Harvard, Vancouver, ISO, and other styles

20

Canorea-Tiralaso, Héctor, Iria Paz-Gil, and Mario Rajas. "Representation of Women in the Musical Imaginary." VISUAL REVIEW. International Visual Culture Review / Revista Internacional de Cultura Visual 17, no. 2 (2025): 113–31. https://doi.org/10.62161/revvisual.v17.5704.

Full text

Abstract:

The video clip is the most widely consumed audiovisual format today and is particularly popular with young people. These videos offer content full of stereotypes, including gender stereotypes. It is therefore of particular interest to analyse the image of women portrayed in these clips. Therefore, the 300 most viewed video clips worldwide and the 300 music videos of Spanish origin with the most views on YouTube were analysed. The analysis confirmed that the image of women in music videos is more sexualised and denigrated than that of men.

APA, Harvard, Vancouver, ISO, and other styles

21

Li, Yuehong. "Research on Sports Video Image Analysis Based on the Fuzzy Clustering Algorithm." Wireless Communications and Mobile Computing 2021 (January 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/6630130.

Full text

Abstract:

Aimed at the shortcomings of the current sports video image segmentation methods, such as rough image segmentation results and high spatial distortion rate, a sports video image segmentation method based on a fuzzy clustering algorithm is proposed. The second-order fuzzy attribute with normal distribution and gravity value is established by using the time-domain difference image, and the membership function of the fuzzy attribute is given; then, the time-domain difference image is fuzzy clustered, and the motion video image segmentation result is obtained by edge detection. Experimental result

APA, Harvard, Vancouver, ISO, and other styles

22

Li, Xiao Ling. "Forest Fire Monitoring System Based on Image Analysis." Advanced Materials Research 267 (June 2011): 155–59. http://dx.doi.org/10.4028/www.scientific.net/amr.267.155.

Full text

Abstract:

Large forest fires are very hazardous and often cause greater losses. However, due to the vast coverage of forests and the environmental complexity, monitoring which relies on sensor detection of direct contact almost cannot achieve its monitoring function. In this paper, the author proposes that long-range images will first be acquired and so do the images of a larger dynamic range of the observed region, then an embedded video monitoring system will be formed realizing a dynamic monitoring. With the techniques of dynamic image analysis and processing, dynamic image alarms and control signals

APA, Harvard, Vancouver, ISO, and other styles

23

Sedlak, René, Andreas Welscher, Patrick Hannawald, Sabine Wüst, Rainer Lienhart, and Michael Bittner. "Analysis of 2D airglow imager data with respect to dynamics using machine learning." Atmospheric Measurement Techniques 16, no. 12 (2023): 3141–53. http://dx.doi.org/10.5194/amt-16-3141-2023.

Full text

Abstract:

Abstract. We demonstrate how machine learning can be easily applied to support the analysis of large quantities of excited hydroxyl (OH*) airglow imager data. We use a TCN (temporal convolutional network) classification algorithm to automatically pre-sort images into the three categories “dynamic” (images where small-scale motions like turbulence are likely to be found), “calm” (clear-sky images with weak airglow variations) and “cloudy” (cloudy images where no airglow analyses can be performed). The proposed approach is demonstrated using image data of FAIM 3 (Fast Airglow IMager), acquired a

APA, Harvard, Vancouver, ISO, and other styles

24

Jiao, Yanwei, and Hanita Hassan. "Intersemiotic Complementarity in Tourism Promotional Video About Qingdao." LSP International Journal 11, no. 2 (2024): 43–52. https://doi.org/10.11113/lspi.v11.22149.

Full text

Abstract:

As an important coastal tourist city in China, Qingdao has a pleasant climate, a combination of Chinese and Western cultures, and rich tourism resources. To promote Qingdao as a tourist destination, tourism organizations in Qingdao have launched a series of promotional videos through the Internet, TV and other media, which have become important media for people to know Qingdao. As a multimodal discourse for conveying tourism information, tourism promotional videos integrate sound, text, image and other symbolic resources to establish the city’s destination image. This study aims to investigate

APA, Harvard, Vancouver, ISO, and other styles

25

Ge, Shishun, and Chunhong Zhu. "Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training." Advances in Multimedia 2022 (July 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/3692902.

Full text

Abstract:

This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image recognition. In view of the different angles of the same element, the motion video image classification and recognition under the neural network are completed by using the error back-propagation algorithm. The performance of the proposed method is verified by simulation experiments. Experimental results show that the proposed method has a high r

APA, Harvard, Vancouver, ISO, and other styles

26

Pipek, P., J. Jeleníková, and L. Sarnovský. "The use of video image analysis for fat content estimation." Czech Journal of Animal Science 49, No. 3 (2011): 115–20. http://dx.doi.org/10.17221/4288-cjas.

Full text

Abstract:

The composition of selected cuts of cattle carcasses was determined in connection with the search for new methods of carcass classification. The content of adipose tissue and intramuscular fat in the cross-section of beef loin was estimated. A total of 79 samples was taken for investigations in a broad range of cattle category. The classical extraction method in Soxhlet extractor was compared with video image analysis, which measured the ratio of muscle to fat areas. The size and the shape of the musculus longissimus lumborum et thoracis (MLLT) and its ratio in the loin cross-section was also

APA, Harvard, Vancouver, ISO, and other styles

27

Yoo, Yeongsik, and Woo Sik Yoo. "Turning Image Sensors into Position and Time Sensitive Quantitative Colorimetric Data Sources with the Aid of Novel Image Processing/Analysis Software." Sensors 20, no. 22 (2020): 6418. http://dx.doi.org/10.3390/s20226418.

Full text

Abstract:

Still images and video images acquired from image sensors are very valuable sources of information. From still images, position-sensitive, quantitative intensity, or colorimetric information can be obtained. Video images made of a time series of still images can provide time-dependent, quantitative intensity, or colorimetric information in addition to the position-sensitive information from a single still image. With the aid of novel image processing/analysis software, extraction of position- and time-sensitive quantitative colorimetric information was demonstrated from still image and video i

APA, Harvard, Vancouver, ISO, and other styles

28

Stutte, G. W. "Analysis of Video Images Using an Interactive Image Capture and Analysis System." HortScience 25, no. 6 (1990): 695–97. http://dx.doi.org/10.21273/hortsci.25.6.695.

Full text

Abstract:

Interactive Image Capture and Analysis System (ICAS) provides for real-time capture of video images using an imaging board and software in a personal computer. Through the use of selective filters on the video input source, images of specific reflective wavelengths are obtained and then analyzed for intensity distribution using interactive software designed for scientific agriculture. Conversion of video cameras into two-dimensional near real-time visual and near infrared (NIR) spectral sensors through the use of filters provides information on the physiological status of the tissue following

APA, Harvard, Vancouver, ISO, and other styles

29

Huang, Shize, Liangliang Yu, Fan Zhang, Wei Zhu, and Qiyi Guo. "Cluster Analysis Based Arc Detection in Pantograph-Catenary System." Journal of Advanced Transportation 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1329265.

Full text

Abstract:

The pantograph-catenary system, which ensures the transmission of electrical energy, is a critical component of a high-speed electric multiple unit (EMU) train. The pantograph-catenary arc directly affects the power supply quality. The Chinese Railway High-speed (CRH) is equipped with a 6C system to obtain pantograph videos. However, it is difficult to automatically identify the arc image information from the vast amount of videos. This paper proposes an effective approach with which pantograph video can be separated into continuous frame-by-frame images. Because of the interference from the c

APA, Harvard, Vancouver, ISO, and other styles

30

ZHAO, YUTAO, MING ZHANG, and YUNCAI LIU. "FLOW VIDEO SYNTHESIS FROM AN IMAGE." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 03 (2010): 421–31. http://dx.doi.org/10.1142/s0218001410007981.

Full text

Abstract:

A new method of image based flow analysis and synthesis from a still image is presented. We analyze the flow parts from a still image in order to get continuous video by image matting, image inpainting, projecting flow field onto the image and modulation. We construct and project 3D flow models onto still images and propose 2D modulation methods that are more suitable and practical to our synthesis. Our technique can edit still images that have flow parts. The experiments show the method is effective.

APA, Harvard, Vancouver, ISO, and other styles

31

S, SARANYA. "Deepfake Detection using Deep Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46605.

Full text

Abstract:

Abstract—Deepfake technology, driven by generative adversarial networks (GANs), poses significant challenges in digital security, misinformation, and privacy. Detecting deepfakes in images and videos requires advanced deep learning models. This study explores deepfake detection using convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based architectures like Vision Transformers (ViTs). We employ Meso4_DF deepfake detection pipeline that uses TensorFlow/Keras, PyTorch, OpenCV for processing, with Dlib, Scikit-Image, and NumPy for feature extraction, leveragi

APA, Harvard, Vancouver, ISO, and other styles

32

Shapiro, Robert, Chris Blow, and Greg Rash. "Video Digitizing Analysis System." International Journal of Sport Biomechanics 3, no. 1 (1987): 80–86. http://dx.doi.org/10.1123/ijsb.3.1.80.

Full text

Abstract:

The use of video images in biomechanical analyses has become more realistic since the introduction of the shuttered video camera. Although recording rates are still limited to 60 Hz, exposure times can be reduced to prevent blurring in most situations. This paper presents a system for manually digitizing video images, a system that utilizes a video overlay board to place a set of cross hairs directly on a previously recorded or live video image. A cursor is used to move the cross hairs over required points. A BASIC program was written for a IBM PC-AT computer to accomplish this task. Video ima

APA, Harvard, Vancouver, ISO, and other styles

33

Stidham, R., H. Yao, S. Bishu, et al. "P595 Feasibility and performance of a fully automated endoscopic disease severity grading tool for ulcerative colitis using unaltered multisite videos." Journal of Crohn's and Colitis 14, Supplement_1 (2020): S495—S496. http://dx.doi.org/10.1093/ecco-jcc/jjz203.723.

Full text

Abstract:

Abstract Background Endoscopic assessment is a core component of disease severity in ulcerative colitis (UC), but subjectivity threatens accuracy and reproducibility. We aimed to develop and test a fully-automated video analysis system for endoscopic disease severity in UC. Methods A developmental dataset of local high-resolution UC colonoscopy videos were generated with Mayo endoscopic scores (MES) provided by experienced local reviewers. Videos were converted into still images stacks and annotated for both sufficient image quality for scoring (informativeness) and MES grade (e.g. Mayo 0,1,2,

APA, Harvard, Vancouver, ISO, and other styles

34

Rahul, Paul, and Mukhopadhyay Sushanta. "FOREGROUND OBJECT EXTACTION BASED ON INDEPENDENT COMPONENT ANALYSIS." Advances in Vision Computing: An International Journal (AVC) 2, no. 4 (2015): 01–11. https://doi.org/10.5281/zenodo.3445779.

Full text

Abstract:

Moving objects are often characterized by coherent motion that is distinct from that of the background. This makes motion a very useful feature for segmenting video sequence. Extracting moving objects from videos is important for many applications like surveillance, traffic analysis etc. In this paper a novel and efficient moving object segmentation algorithm is proposed that is based on independent component analysis (ICA). Moving objects and static background are considered to be independent, so independent component analysis is applied on frames of a video sequence to identify the prelimina

APA, Harvard, Vancouver, ISO, and other styles

35

Rahul, Paul, and Mukhopadhyay Sushanta. "FOREGROUND OBJECT EXTACTION BASED ON INDEPENDENT COMPONENT ANALYSIS." Advances in Vision Computing: An International Journal (AVC) 2, no. 4 (2015): 01–11. https://doi.org/10.5281/zenodo.3611036.

Full text

Abstract:

Moving objects are often characterized by coherent motion that is distinct from that of the background. This makes motion a very useful feature for segmenting video sequence. Extracting moving objects from videos is important for many applications like surveillance, traffic analysis etc. In this paper a novel and efficient moving object segmentation algorithm is proposed that is based on independent component analysis (ICA). Moving objects and static background are considered to be independent, so independent component analysis is applied on frames of a video sequence to identify the prelimina

APA, Harvard, Vancouver, ISO, and other styles

36

Tosi, Sébastien, Lídia Bardia, Maria Jose Filgueira, Alexandre Calon, and Julien Colombelli. "LOBSTER: an environment to design bioimage analysis workflows for large and complex fluorescence microscopy data." Bioinformatics 36, no. 8 (2019): 2634–35. http://dx.doi.org/10.1093/bioinformatics/btz945.

Full text

Abstract:

Abstract Summary Open source software such as ImageJ and CellProfiler greatly simplified the quantitative analysis of microscopy images but their applicability is limited by the size, dimensionality and complexity of the images under study. In contrast, software optimized for the needs of specific research projects can overcome these limitations, but they may be harder to find, set up and customize to different needs. Overall, the analysis of large, complex, microscopy images is hence still a critical bottleneck for many Life Scientists. We introduce LOBSTER (Little Objects Segmentation and Tr

APA, Harvard, Vancouver, ISO, and other styles

37

Ma, Jun. "Research on Sports Video Image Based on Clustering Extraction." Mathematical Problems in Engineering 2021 (June 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/9996782.

Full text

Abstract:

Today, with the continuous sports events, the major sports events are also loved by the majority of the audience, so the analysis of the video data of the games has higher research value and application value. This paper takes the video of volleyball, tennis, baseball, and water polo as the research background and analyses the video images of these four sports events. Firstly, image graying, image denoising, and image binarization are used to preprocess the images of the four sports events. Secondly, feature points are used to detect the four sports events. According to the characteristics of

APA, Harvard, Vancouver, ISO, and other styles

38

Kiy, K. I., and D. A. Anokhin. "A NEW TECHNIQUE FOR OBJECT DETECTION AND TRACKING AND ITS APPLICATION TO ANALYSIS OF ROAD SCENE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-2/W1-2021 (April 15, 2021): 119–24. http://dx.doi.org/10.5194/isprs-archives-xliv-2-w1-2021-119-2021.

Full text

Abstract:

Abstract. In this paper, a new technique for real-time object detection and tracking is presented. This technique is based on the geometrized histograms method (GHM) for segmenting and describing color images (frames of video sequences) and on the facilities for global image analysis provided by this method. Basic elements of the technique that make it possible to solve image understanding problems almost without using the pixel arrays of images are introduced and discussed.A real-time parallel software implementation of the developed technique is briefly discussed. This technique is applied t

APA, Harvard, Vancouver, ISO, and other styles

39

Huang, Yingyin, and Yunzhen Ye. "Design of AIGC Commercial Digital Human Video Generation Link." Communications in Humanities Research 52, no. 1 (2024): 81–91. https://doi.org/10.54254/2753-7064/2024.18507.

Full text

Abstract:

This study aims to explore and analyze the application of AIGC technology in digital human video creation, in order to achieve the goal of efficient conversion generation and personalized content production. This study adopted a systematic analysis method to integrate and apply various technologies of AIGC. On this basis, an innovative digital human video generation link was designed by combining deep learning technology and multimodal data fusion methods. Taking commercial digital human image videos as an example, this study combines the digital human image features favored by target users wi

APA, Harvard, Vancouver, ISO, and other styles

40

He, Jing, Zhuoluo Yang, and Jiayi Zhu. "A framework for visualizing and describing city image promotion short video data based on microcube model." PLOS ONE 20, no. 4 (2025): e0317883. https://doi.org/10.1371/journal.pone.0317883.

Full text

Abstract:

Background The rapid development of media technology and media environment provides rich resources and convenient ways to shape the image of the city. Short video has become an important help to shape the image of the city and build the city brand. How to use short video to shape the image of the city is the key link of urban construction. This study focuses on six primary variables for analyzing city image short videos: unexpected events, emotional resonance, scene transition, elemental amplification, element interaction, and screen style. These variables were selected based on their demonstr

APA, Harvard, Vancouver, ISO, and other styles

41

Imamverdiyev, Yadigar, and Firangiz Musayeva. "Analysis of generative adversarial networks." Problems of Information Technology 13, no. 1 (2022): 20–27. http://dx.doi.org/10.25045/jpit.v13.i1.03.

Full text

Abstract:

Recently, a lot of research has been done on the use of generative models in the field of computer vision and image classification. At the same time, effective work has been done with the help of an environment called generative adversarial networks, such as video generation, music generation, image synthesis, text-to-image conversion. Generative adversarial networks are artificial intelligence algorithms designed to solve the problems of generative models. The purpose of the generative model is to study the set of training patterns and their probable distribution. The article discusses genera

APA, Harvard, Vancouver, ISO, and other styles

42

Li, Yixuan. "A Study on the Success of Short Videos Themed on Beijing Cuisines and Its Influence on the City’s Image." SHS Web of Conferences 155 (2023): 02010. http://dx.doi.org/10.1051/shsconf/202315502010.

Full text

Abstract:

With the boom of the short video industry in recent years, cities with tremendous internet influences have witnessed rapid growth attributable to the rise of short video platforms where cuisinethemed short videos have become a new channel for the communication of a city’s image. On one of the platforms, TikTok, there exists a huge gap in terms of communication performance among cuisine-themed short videos of different kinds. Taking content analysis as the tool, this paper is engaged with the quantitative analysis of the content characteristics, food types, city image, video length and language

APA, Harvard, Vancouver, ISO, and other styles

43

Sunil Kumar, V., Vedashree C.R, and Sowmyashree S. "IMAGE SENTIMENTAL ANALYSIS: AN OVERVIEW." International Journal of Advanced Research 10, no. 03 (2022): 361–70. http://dx.doi.org/10.21474/ijar01/14398.

Full text

Abstract:

Visual content, such as photographs and video, contains not only objects, locations, and events, but also emotional and sentimental clues. On social networking sites, images are the simplest way for people to communicate their emotions. Images and videos are increasingly being used by social media users to express their ideas and share their experiences. Sentiment analysis of such large-scale visual content can aid in better extracting user sentiments toward events or themes, such as those in image tweets, so that sentiment prediction from visual content can be used in conjunction with sentime

APA, Harvard, Vancouver, ISO, and other styles

44

Smékal, O., P. Pipek, M. Miyahara, and J. Jeleníková. "Use of video image analysis for the evaluation of beef carcasses." Czech Journal of Food Sciences 23, No. 6 (2011): 240–45. http://dx.doi.org/10.17221/3397-cjfs.

Full text

Abstract:

Video image analysis was used for the objective evaluation of beef carcasses parts as an additional parameter of the carcass classification. The pictures of cross sections of dorsal parts of beef carcasses between 8<sup>th</sup> and 9<sup>th</sup> vertebra were taken under industrial conditions and evaluated using LUCIA software. The areas of muscle and adipose tissues were thresholded on several ways (the whole loin area, the areas of individual muscles and those of different loin sections) and the correlations between these areas were searched. The best correlations w

APA, Harvard, Vancouver, ISO, and other styles

45

Md., Anwar Hussain, and Bora Popi. "Integrated Partial Encryption and Watermarking Technique for Digital Video using Chaos and Support Images." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 264–373. https://doi.org/10.35940/ijeat.D6485.049420.

Full text

Abstract:

Encryption and Watermarking are image processing tools that are used mostly separately. Encrypting a document completely obscures it and watermarking is applied mostly for copy right protection. For entertainment type videos, partial encryption and watermarking may be integrated such that both objectives are attained. We report in this paper a novel combined partial encryption and watermarking algorithm for digital videos using chaotic system and support image. Watermarks are generated by using iris information of the authentic user or the authentic producer of the digital video. Watermarks of

APA, Harvard, Vancouver, ISO, and other styles

46

Oh, SangYup, DongJun Oh, Dongmin Kim, et al. "Video Analysis of Small Bowel Capsule Endoscopy Using a Transformer Network." Diagnostics 13, no. 19 (2023): 3133. http://dx.doi.org/10.3390/diagnostics13193133.

Full text

Abstract:

Although wireless capsule endoscopy (WCE) detects small bowel diseases effectively, it has some limitations. For example, the reading process can be time consuming due to the numerous images generated per case and the lesion detection accuracy may rely on the operators’ skills and experiences. Hence, many researchers have recently developed deep-learning-based methods to address these limitations. However, they tend to select only a portion of the images from a given WCE video and analyze each image individually. In this study, we note that more information can be extracted from the unused fra

APA, Harvard, Vancouver, ISO, and other styles

47

Shin, Bumshick, and KyuHan Kim. "Analysis of Wave-Induced Current Using Digital Image Correlation Techniques." Journal of Sensors 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/1784507.

Full text

Abstract:

Recently, advancement of digital image techniques and communications technology has enabled the application of existing images for scientific purposes. Furthermore, both quantitative and qualitative analyses of images have become possible through image processing such as transmit/storage of digital image data and image rectification. In this study, a coast having representative characteristics of east coast of Korea was selected with having erosion in winter, and the sedimentation in summer takes place repeatedly. Three-dimensional hydraulic model test was conducted to analyze its outcomes by

APA, Harvard, Vancouver, ISO, and other styles

48

Ing, Gabriel, Andrew Stewart, Guiseppe Battaglia, and Lorena Ruiz-Perez. "SimpliPyTEM: An open-source Python library and app to simplify transmission electron microscopy and in situ-TEM image analysis." PLOS ONE 18, no. 10 (2023): e0285691. http://dx.doi.org/10.1371/journal.pone.0285691.

Full text

Abstract:

Introducing SimpliPyTEM, a Python library and accompanying GUI that simplifies the post-acquisition evaluation of transmission electron microscopy (TEM) images, helping streamline the workflow. After an imaging session, a folder of image and/or video files, typically containing low contrast and large file size 32-bit images, can be quickly processed via SimpliPyTEM into high-quality, high-contrast.jpg images with suitably sized scale bars. The app can also generate HTML or PDF files containing the processed images for easy viewing and sharing. Additionally, SimpliPyTEM specifically focuses on

APA, Harvard, Vancouver, ISO, and other styles

49

Rajab Asaad, Renas, Rasan Ismael Ali, Awaz Ahmad Shaban, and Merdin Shamal Salih. "Object Detection using the ImageAI Library in Python." Polaris Global Journal of Scholarly Research and Trends 2, no. 2 (2023): 1–9. http://dx.doi.org/10.58429/pgjsrt.v2n2a143.

Full text

Abstract:

Recent progress in deep learning methods has shown that key steps in object detection and recognition, including feature extraction, region proposals, and classification, can be done using ImageAi libraries. Object detection is a computer vision technique that works to identify and locate objects within an image or video. Specifically, object detection draws bounding boxes around these detected objects, which allow us to locate where said objects are in a given scene. Object detection is commonly confused with image recognition, so before we proceed, it’s important that we clarify the distinct

APA, Harvard, Vancouver, ISO, and other styles

50

Chen, Yingju, and Jeongkyu Lee. "A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video." Diagnostic and Therapeutic Endoscopy 2012 (November 13, 2012): 1–9. http://dx.doi.org/10.1155/2012/418037.

Full text

Abstract:

Wireless capsule endoscopy (WCE) enables a physician to diagnose a patient's digestive system without surgical procedures. However, it takes 1-2 hours for a gastroenterologist to examine the video. To speed up the review process, a number of analysis techniques based on machine vision have been proposed by computer science researchers. In order to train a machine to understand the semantics of an image, the image contents need to be translated into numerical form first. The numerical form of the image is known as image abstraction. The process of selecting relevant image features is often dete

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!