Relevant bibliographies by topics / Video image analysi

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Video image analysi'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Video image analysi"

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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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Dissertations / Theses on the topic "Video image analysi"

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GIACHELLO, SILVIA. "Identità' e memoria visuale: comunità', eventi, documentazione." Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2540089.

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Il progetto indaga la potenzialita' delle immagini, con particolare riferimento alla fotografia, di descrivere, documentare e interpretare gli eventi culturali, e il loro linguaggio particolare e funzionale; le conseguenze della proliferante diffusione della cultura visuale (grassroots, social networks, etc.) nell'interpretazione della realtà e nella costruzione della memoria; il valore attribuito dal pubblico e da esperti qualificati al concetto di “evento culturale” attraverso la rilevazione, il monitoraggio e la documentazione di consumi culturali, e la funzione identitaria di tale concetto
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Dye, Brigham R. "Reliability of pre-service teachers' coding of teaching videos using a video-analysis tool /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2020.pdf.

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Kim, Tae-Kyun. "Discriminant analysis of patterns in images, image ensembles, and videos." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612084.

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Sdiri, Bilel. "2D/3D Endoscopic image enhancement and analysis for video guided surgery." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCD030.

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Grâce à l’évolution des procédés de diagnostiques médicaux et les développements technologiques, la chirurgie mini-invasive a fait des progrès remarquables au cours des dernières décennies surtout avec l’innovation de nouveaux outils médicaux tels que les systèmes chirurgicaux robotisés et les caméras endoscopiques sans fil. Cependant, ces techniques souffrent de quelques limitations liées essentiellement l’environnement endoscopique telles que la non uniformité de l’éclairage, les réflexions spéculaires des tissus humides, le faible contraste/netteté et le flou dû aux mouvements du chirurgien
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Prétet, Laure. "Metric learning for video to music recommendation." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT005.

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À l'écran, la musique permet de communiquer, à travers des codes culturels établis, des émotions ou des éléments narratifs clés. Cette communication repose non seulement sur un choix judicieux de morceaux pour la bande son, mais aussi sur leur synchonisation avec les événements saillants de la vidéo. La tâche qui consiste à conseiller et réaliser cette association est au centre de l'industrie de la supervision musicale, et s'effectue traditionnellement à la main. Dans cette thèse, l'on étudie l'automatisation des tâches liées à la supervision musicale. La quête de la musique idéale n'a général
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Li, Dong. "Thermal image analysis using calibrated video imaging." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4455.

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Thesis (Ph.D.)--University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 23, 2009) Includes bibliographical references.
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Eastwood, Brian S. Taylor Russell M. "Multiple layer image analysis for video microscopy." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2813.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Mar. 10, 2010). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
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Sheikh, Faridul Hasan. "Analysis of 3D color matches for the creation and consumption of video content." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4001.

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L'objectif de cette thèse est de proposer une solution au problème de la constance des couleurs entre les images d'une même scène acquises selon un même point de vue ou selon différents points de vue. Ce problème constitue un défi majeur en vision par ordinateur car d'un point de vue à l'autre, on peut être confronté à des variations des conditions d'éclairage (spectre de l'éclairage, intensité de l'éclairage) et des conditions de prise de vue (point de vue, type de caméra, paramètres d'acquisition tels que focus, exposition, balance des blancs, etc.). Ces variations induisent alors des différ
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Lee, Sangkeun. "Video analysis and abstraction in the compressed domain." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180041/unrestricted/lee%5fsangkeun%5f200312%5fphd.pdf.

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Guo, Y. (Yimo). "Image and video analysis by local descriptors and deformable image registration." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526201412.

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Abstract Image description plays an important role in representing inherent properties of entities and scenes in static images. Within the last few decades, it has become a fundamental issue of many practical vision tasks, such as texture classification, face recognition, material categorization, and medical image processing. The study of static image analysis can also be extended to video analysis, such as dynamic texture recognition, classification and synthesis. This thesis contributes to the research and development of image and video analysis from two aspects. In the first part of this wo
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Books on the topic "Video image analysi"

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Tokan-Lawal, Folashade. Quantitative image analysis of video images of the larynx. UMIST, 1998.

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Tian, Jing, and Li Chen. Intelligent image and video interpretation: Algorithms and applications. Information Science Reference, 2013.

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C, Kotropoulos, and Pitas I, eds. Nonlinear model-based image/video processing and analysis. Wiley, 2001.

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Nony, Anaïs. Performative Images. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463722827.

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Performative Images draws upon the work of video artists and activists in France between the 1970s and the early 2020s and focuses on significant practices with technology. Video art and video activism are analysed together in the book to revaluate key concepts in media studies and foreground a performative approach to the theory of image technology. The book engages works in visual culture, performance studies, digital studies, critical race theory, and feminist methodologies to account for the changes brought about by video technology in social and psychic life. Performative Images is about
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Camastra, Francesco, and Alessandro Vinciarelli. Machine Learning for Audio, Image and Video Analysis. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6735-8.

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Camastra, Francesco, and Alessandro Vinciarelli. Machine Learning for Audio, Image and Video Analysis. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-007-0.

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Kwaśnicka, Halina, and Lakhmi C. Jain, eds. Bridging the Semantic Gap in Image and Video Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73891-8.

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Randall, Reed Todd, ed. Digital image sequence processing, compression, and analysis. CRC Press, 2005.

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Zheng, Nanning. Statistical learning and pattern analysis for image and video processing. Springer, 2009.

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Zheng, Nanning, and Jianru Xue. Statistical Learning and Pattern Analysis for Image and Video Processing. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-312-9.

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Book chapters on the topic "Video image analysi"

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Söderström, Ulrik, and Haibo Li. "High Definition Wearable Video Communication." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_51.

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Douze, Matthijs, and Vincent Charvillat. "Real-Time Tracking of Video Sequences in a Panoramic View for Object-Based Video Coding." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_134.

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Uegaki, Naoki, Masao Izumi, and Kunio Fukunaga. "Multimodal Automatic Indexing for Broadcast Soccer Video." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_81.

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Luzardo, Marcos, Matti Karppa, Jorma Laaksonen, and Tommi Jantunen. "Head Pose Estimation for Sign Language Video." In Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_34.

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Walter, Robert J., and Michael W. Berns. "Digital Image Processing and Analysis." In Video Microscopy. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-6925-8_10.

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Paalanen, Pekka, Joni-Kristian Kämäräinen, and Heikki Kälviäinen. "Image Based Quantitative Mosaic Evaluation with Artificial Video." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_48.

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Koskela, Markus, Mats Sjöberg, and Jorma Laaksonen. "Improving Automatic Video Retrieval with Semantic Concept Detection." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_49.

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Slot, Kristine, René Truelsen, and Jon Sporring. "Content-Aware Video Editing in the Temporal Domain." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_50.

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Lundmark, Astrid, and Leif Haglund. "Adaptive Spatial and Temporal Prefiltering for Video Compression." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_125.

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Bräuer-Burchardt, Christian. "Detection of Strong Shadows in Monochromatic Video Streams." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_86.

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Conference papers on the topic "Video image analysi"

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Faye, Myriam, Nataly Jahchan, Anne Condamines, and Franck Amadieu. "Optimizing Comprehension and Performance in Technical Documentation: Does Adding Multimedia to Written Instructions Help to Safely and Accurately Perform Maintenance Tasks?" In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-144.

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As part of a human factors research project aimed at optimizing technical documentation used in helicopter maintenance with multimedia elements, we compared different instruction formats to observe their effects on the performance of an assembly task. This task offers us the opportunity to test procedures that call for similar actions as a maintenance task (e.g., localization, action sequencing, assembly). Static (i.e., image and image with text) and dynamic instruction formats (i.e., video, video with text and video with audio) were compared to determine if dynamic formats allowed a better mo
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Fujiwara, Takeru, Yuanyuan Wang, and Wuyi Yue. "Generating Tourist Attraction Introduction Videos Using Image Search and Short Video Analysis." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760884.

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Garg, Mohan, J. Joyce Jacob, Tusha, Gopalakrishna V. Gaonkar, Vishal A. Meshram, and T. Kuppuraj. "Texture Based Image and Video Analysis." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723926.

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Fullerton, Anne M., Thomas C. Fu, David A. Drazen, and Don C. Walker. "Analysis Methods for Vessel Generated Spray." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31313.

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The droplet sizes and velocities contained in vessel generated spray are difficult to quantify. This paper describes three different methods to quantify velocity and size distributions from high speed video of spray from a planing boat. These methods include feature tracking, displacement tracking and video inversion. For the feature tracking method, the images were preprocessed using contrast limited adaptive histogram equalization, and then converted to binary images with a specific intensity cutoff level. Image statistics were then generated from this image, including droplet area and effec
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Ribeiro, Victor Nascimento, and Nina S. T. Hirata. "Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2024. https://doi.org/10.5753/sibgrapi.est.2024.31664.

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Video-based Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate text information from video captures. Traditional systems typically rely heavily on high-end computing resources and utilize multiple frames to recognize license plates, leading to increased computational overhead. In this paper, we propose two methods capable of efficiently extracting exactly one frame per vehicle and recognizing its license plate characters from this single image, thus significantly reducing computational demands. The first method uses Visual Rhythm (VR) to generate time-spatial
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Kshitiz, Sonu Shreshtha, Ramy Mounir, et al. "Long-term Monitoring of Bird Flocks in the Wild." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/704.

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Monitoring and analysis of wildlife are key to conservation planning and conflict management. The widespread use of camera traps coupled with AI-based analysis tools serves as an excellent example of successful and non-invasive use of technology for design, planning, and evaluation of conservation policies. As opposed to the typical use of camera traps that capture still images or short videos, in this project, we propose to analyze longer term videos monitoring a large flock of birds. This project, which is part of the NSF-TIH Indo-US joint R&amp;D partnership, focuses on solving challenges a
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Ogai, Yuta, Yuto Ono, Yasushi Noguchi, Sayaka Tohyama, Hideaki Kondo, and Masayuki Yamada. "Developing AI Video Analysis Systems to Explore Human Behavior in Infant and Ethnographic Footage." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004694.

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The advancement of Information and Communication Technology (ICT) has enabled the storage of large volumes of video data. In recent years, research has focused on technologies for extracting this video data in formats suitable for specific purposes. For instance, it is possible to derive insights about developmental processes from daily life video data or to extract specific segments of ethnographic footage for artistic expression.Scholars stress the importance of analyzing daily videos of infants to understand their developmental processes, but watching all infants' daily videos would require
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Ribeiro, Victor Nascimento, and Nina S. T. Hirata. "Combining YOLO and Visual Rhythm for Vehicle Counting." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sibgrapi.est.2023.27473.

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Video-based vehicle detection and counting play a critical role in managing transport infrastructure. Traditional image-based counting methods usually involve two main steps: initial detection and subsequent tracking, which are applied to all video frames, leading to a significant increase in computational complexity. To address this issue, this work presents an alternative and more efficient method for vehicle detection and counting. The proposed approach eliminates the need for a tracking step and focuses solely on detecting vehicles in key video frames, thereby increasing its efficiency. To
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Звездакова, Анастасия, Anastasia Zvezdakova, Дмитрий Куликов, et al. "Barriers Towards No-reference Metrics Application to Compressed Video Quality Analysis: on the Example of No-reference Metric NIQE." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-22-27.

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This paper analyses the application of no-reference metric NIQE to the task of video-codec comparison. A number of issues in the metric behavior on videos was detected and described. The metric has outlying scores on black and solid-colored frames. The proposed averaging technique for metric quality scores helped to improve the results in some cases. Also, NIQE has low-quality scores for videos with detailed textures and higher scores for videos of lower bit rates due to the blurring of these textures after compression. Although NIQE showed natural results for many tested videos, it is not uni
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Lima, Karim Ferreira, Rodrigo Marques de Figueiredo, Eduardo Augusto Martins, and Jean Schmith. "Virtual lines for offside situations analysis in football." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sibgrapi.est.2021.20037.

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Offside is one of the situations that is analyzed by the Video Assistant Referee (VAR). However, it has caused some controversy due to the delay in the analysis and definition of the irregularity. This work proposes a method that helps in the analysis of offside situations and also makes it available for nonprofessional matches. Here, image processing algorithms were used to determine offside situations in football matches from TV videos, of course, in accordance with the game regulation. The method includes the image vanishing point identification, camera calibration and the virtual offside l
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Reports on the topic "Video image analysi"

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Bandat, N. E. Video image analysis using the Selective Video Processor development platform. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6161006.

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2

Liang, Yiqing. Video Retrieval Based on Language and Image Analysis. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada364129.

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3

Bovik, Alan C. AM-FM Analysis of Images and Video. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387139.

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4

Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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Abstract:
The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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5

Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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Abstract:
The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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6

Brumby, Steven P. Video Analysis & Search Technology (VAST): Automated content-based labeling and searching for video and images. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1133765.

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7

Pinson, Margaret. Analysis of No-Reference Metrics for Image and Video Quality of Consumer Applications. Institute for Telecommunication Sciences, 2020. https://doi.org/10.70220/hb2drbf6.

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8

Sapiro, Guillermo. Structured and Collaborative Signal Models: Theory and Applications in Image, Video, and Audio Analysis. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada586672.

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9

Jerosch, K., A. Luedtke, P. Pledge, O. Paitich, and V E Kostylev. Automatic image analysis of sediment types: mapping from georeferenced video footage on the Labrador Shelf. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/288055.

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10

Baluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.

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The article analyzes the peculiarities of the media content shaping and transformation in the convergent dimension of cross-media, taking into account the possibilities of augmented reality. With the help of the principles of objectivity, complexity and reliability in scientific research, a number of general scientific and special methods are used: method of analysis, synthesis, generalization, method of monitoring, observation, problem-thematic, typological and discursive methods. According to the form of information presentation, such types of media content as visual, audio, verbal and combi
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