Relevant bibliographies by topics / Videos analytics

Contents

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

Academic literature on the topic 'Videos analytics'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Videos analytics"

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Jain, Puneet, Justin Manweiler, Arup Acharya, and Romit Roy Choudhury. "Scalable Social Analytics for Live Viral Event Prediction." Proceedings of the International AAAI Conference on Web and Social Media 8, no. 1 (2014): 226–35. http://dx.doi.org/10.1609/icwsm.v8i1.14504.

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Large-scale, predictive social analytics have proven effective. Over the last decade, research and industrial efforts have understood the potential value of inferences based on online behavior analysis, sentiment mining, influence analysis, epidemic spread, etc. The majority of these efforts, however, are not yet designed with realtime responsiveness as a first-order requirement. Typical systems perform a post-mortem analysis on volumes of historical data and validate their “predictions” against already-occurred events.We observe that in many applications, real-time predictions are critical an
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Arulraj, Joy. "Accelerating Video Analytics." ACM SIGMOD Record 50, no. 4 (2022): 39–40. http://dx.doi.org/10.1145/3516431.3516442.

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MOTIVATION. The advent of inexpensive, high-quality cameras has led to a rapid increase in the volume of generated video data [19, 16]. It is now feasible to automatically analyze these video datasets at scale due to two developments over the last decade. First, researchers have designed complex, computationally-intensive deep learning (DL) models that capture the contents of a given set of video frames (e.g., objects present in a particular frame [11]) [15]. Second, the computational capabilities of hardware accelerators for evaluating these DL models have increased over the last decade (e.g.
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Wang, Han, Shangyu Xie, and Yuan Hong. "VideoDP: A Flexible Platform for Video Analytics with Differential Privacy." Proceedings on Privacy Enhancing Technologies 2020, no. 4 (2020): 277–96. http://dx.doi.org/10.2478/popets-2020-0073.

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AbstractMassive amounts of videos are ubiquitously generated in personal devices and dedicated video recording facilities. Analyzing such data would be extremely beneficial in real world (e.g., urban traffic analysis). However, videos contain considerable sensitive information, such as human faces, identities and activities. Most of the existing video sanitization techniques simply obfuscate the video by detecting and blurring the region of interests (e.g., faces, vehicle plates, locations and timestamps). Unfortunately, privacy leakage in the blurred video cannot be effectively bounded, espec
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Dolores, Maria, and Jorge Mañana-Rodriguez. "Exploring Engagement in Online Videos for Language Learning through YouTube’s Learning Analytics." EDEN Conference Proceedings, no. 1 (September 21, 2021): 49–58. http://dx.doi.org/10.38069/edenconf-2021-ac0005.

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Until a few years ago, video analytics were not accessible to learning stakeholders, mainly because online video platforms did not share the users’ interactions on the system with stakeholders. However, this scenario has changed, and currently YouTube, the world’s largest media sharing site, offers these data. YouTube is also the main tool for transmitting audio-visual content in Language MOOCs (massive open online courses), and its video engagement data can be monitored through the YouTube Studio channel, which provides free and open access to video analytics. In this paper we present our res
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Kittivorawong, Chanwut, Yongming Ge, Yousef Helal, and Alvin Cheung. "Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations." Proceedings of the VLDB Endowment 17, no. 9 (2024): 2136–48. http://dx.doi.org/10.14778/3665844.3665846.

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Videos that are shot using commodity hardware such as phones and surveillance cameras record various metadata such as time and location. We encounter such geospatial videos on a daily basis and such videos have been growing in volume significantly. Yet, we do not have data management systems that allow users to interact with such data effectively. In this paper, we describe Spatialyze, a new framework for end-to-end querying of geospatial videos. Spatialyze comes with a domain-specific language where users can construct geospatial video analytic workflows using a 3-step, declarative, build-fil
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Zhang, Jingjing, Yicheng Huang, and Ming Gao. "Video Features, Engagement, and Patterns of Collective Attention Allocation." Journal of Learning Analytics 9, no. 1 (2022): 32–52. http://dx.doi.org/10.18608/jla.2022.7421.

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Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible learning environments. This study selected “Fundamentals of C++ programming (Spring 2019)” on XuetangX as an example through which to observe the allocation patterns of attention within MOOC videos, as well as how video features and engagement correl
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Carpenter, Chris. "Computer Vision Analytics Enables Determination of Rig State." Journal of Petroleum Technology 74, no. 01 (2022): 96–98. http://dx.doi.org/10.2118/0122-0096-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 204086, “Determining Rig State From Computer Vision Analytics,” by Crispin Chatar, SPE, and Suhas Suresha, Schlumberger, and Laetitia Shao, Stanford University, et al. The paper has not been peer reviewed. While companies cannot agree on a standard definition of “rig state,” they can agree that, as further use is made of remote operations and automation, rig-state calculation is mandatory in some form. By use of a machine-learning model that relies exclusively on videos collected on the rig floor to
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Liu, Ying, Dickson K. W. Chiu, and Kevin K. W. Ho. "Short-Form Videos for Public Library Marketing: Performance Analytics of Douyin in China." Applied Sciences 13, no. 6 (2023): 3386. http://dx.doi.org/10.3390/app13063386.

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Short-form video platforms have become an important marketing channel for library resources and services. However, such promotions’ actual performance is not as good as expected. This research examined the performance of library marketing on the dominant short-form video platform in China, Douyin (aka TikTok worldwide), with social media analytics, including topic and correlation analysis. Results indicated that the number of fans of an account is positively correlated with the number of likes (p < 0.001) and independent of the number of videos (p > 0.05). Libraries post videos most ofte
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Pal, Sudeshna, Patsy Moskal, and Anchalee Ngampornchai. "Analyzing Student Success in a Blended Engineering Course Using Video Learning Analytics." International Journal on E-Learning 23, no. 4 (2024): 489–504. https://doi.org/10.70725/117499fkveaa.

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This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course grades, with students demonstrating high satisfaction and improved success rates in the blended format. The findings suggest that video analytics can serve as an effective predictor of student performance in blended engineering courses.
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DAUN, Felipe, and Ana Maria Dianezi GAMBARDELLA. "Educational videos with nutritional approach in YouTube." Revista de Nutrição 31, no. 3 (2018): 339–49. http://dx.doi.org/10.1590/1678-98652018000300007.

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ABSTRACT Objective Produce food and nutrition education videos, post these on YouTube and evaluate their reception over a two-year period. Methods Afterward bibliographic searches, sixteen different themes were developed and explored. An educational objective was defined for each video, took into account food and nutrition aspects in Brazil. The reception of the videos was evaluated using the “YouTube Analytics” tool, which allows analysis of the number of times videos were played, average playing time, and profile of the viewers. Results Sixteen videos were produced from November 2013 to July
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Dissertations / Theses on the topic "Videos analytics"

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Abdallah, Raed. "Intelligent crime detection and behavioral pattern mining : a comprehensive study." Electronic Thesis or Diss., Université Paris Cité, 2023. http://www.theses.fr/2023UNIP7031.

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Face à l'évolution rapide du paysage criminel, les agences de maintien de l'ordre (LEA) sont confrontées à des défis croissants dans les enquêtes criminelles contemporaines. Cette thèse de doctorat entreprend une exploration transformative, stimulée par la nécessité urgente de révolutionner les méthodologies d'enquête et d'armer les LEA avec des outils de pointe pour lutter efficacement contre la criminalité. Ancré dans cette motivation impérative, ce travail de recherche navigue méticuleusement à travers diverses sources de données, y compris le réseau complexe des médias sociaux, les système
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Carpani, Valerio. "CNN-based video analytics." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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The content of this thesis illustrates the six months work done during my internship at TKH Security Solutions - Siqura B.V. in Gouda, Netherlands. The aim of this thesis is to investigate on convolutional neural networks possible usage, from two different point of view: first we propose a novel algorithm for person re-identification, second we propose a deployment chain, for bringing research concepts to product ready solutions. In existing works, the person re-identification task is assumed to be independent of the person detection task. In this thesis instead, we consider the two ta
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Pettersson, Johan, and Robin Veteläinen. "A comparison of solutions to measure Quality of Service for video streams." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188514.

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There are more and more people watching video streams over the Internet, and this has led to an increase in companies that compete for viewers. To improve the users experience, these companies can measure how their services are performing. The aim of this thesis was to recommend a way to measure the quality of service for a real time video streaming service. Three methods were presented; to buy the information from a content delivery network, extend existing analytics software or build a custom solution using packet sniffing. It was decided to extend existing analytics software. An evaluation
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Hassan, Waqas. "Video analytics for security systems." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/43406/.

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This study has been conducted to develop robust event detection and object tracking algorithms that can be implemented in real time video surveillance applications. The aim of the research has been to produce an automated video surveillance system that is able to detect and report potential security risks with minimum human intervention. Since the algorithms are designed to be implemented in real-life scenarios, they must be able to cope with strong illumination changes and occlusions. The thesis is divided into two major sections. The first section deals with event detection and edge based tr
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Asif, Muhammad. "Video analytics for intelligent surveillance systems." Thesis, University of Strathclyde, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.530322.

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Höferlin, Benjamin [Verfasser]. "Scalable Visual Analytics for Video Surveillance / Benjamin Höferlin." München : Verlag Dr. Hut, 2014. http://d-nb.info/1050331842/34.

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Cheng, Guangchun. "Video Analytics with Spatio-Temporal Characteristics of Activities." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc799541/.

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As video capturing devices become more ubiquitous from surveillance cameras to smart phones, the demand of automated video analysis is increasing as never before. One obstacle in this process is to efficiently locate where a human operator’s attention should be, and another is to determine the specific types of activities or actions without ambiguity. It is the special interest of this dissertation to locate spatial and temporal regions of interest in videos and to develop a better action representation for video-based activity analysis. This dissertation follows the scheme of “locating then r
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Luo, Ning. "A Wireless Traffic Surveillance System Using Video Analytics." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc68005/.

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Video surveillance systems have been commonly used in transportation systems to support traffic monitoring, speed estimation, and incident detection. However, there are several challenges in developing and deploying such systems, including high development and maintenance costs, bandwidth bottleneck for long range link, and lack of advanced analytics. In this thesis, I leverage current wireless, video camera, and analytics technologies, and present a wireless traffic monitoring system. I first present an overview of the system. Then I describe the site investigation and several test links with
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Barracu, Maria Antonietta. "Tecniche, metodologie e strumenti per la Web Analytics, con particolare attenzione sulla Video Analytics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/1919/.

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In questa tesi viene affrontato il tema del tracciamento video, analizzando le principali tecniche, metodologie e strumenti per la video analytics. L'intero lavoro, è stato svolto interamente presso l'azienda BitBang, dal reperimento di informazioni e materiale utile, fino alla stesura dell'elaborato. Nella stessa azienda ho avuto modo di svolgere il tirocinio, durante il quale ho approfondito gli aspetti pratici della web e video analytics, osservando il lavoro sul campo degli specialisti del settore e acquisendo familiarità con gli strumenti di analisi dati tramite l'utilizzo delle principa
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Höferlin, Markus Johannes [Verfasser], and Daniel [Akademischer Betreuer] Weiskopf. "Video visual analytics / Markus Johannes Höferlin. Betreuer: Daniel Weiskopf." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2013. http://d-nb.info/1037955935/34.

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Books on the topic "Videos analytics"

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Distante, Cosimo, Sebastiano Battiato, and Andrea Cavallaro, eds. Video Analytics for Audience Measurement. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12811-5.

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Shan, Caifeng, Fatih Porikli, Tao Xiang, and Shaogang Gong, eds. Video Analytics for Business Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28598-1.

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Shan, Caifeng. Video Analytics for Business Intelligence. Springer Berlin Heidelberg, 2012.

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El-Alfy, El-Sayed M., George Bebis, and Mengchu Zhou. Intelligent Image and Video Analytics. CRC Press, 2023. http://dx.doi.org/10.1201/9781003053262.

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Bai, Xiang, Yi Fang, Yangqing Jia, et al., eds. Video Analytics. Face and Facial Expression Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12177-8.

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Nasrollahi, Kamal, Cosimo Distante, Gang Hua, et al., eds. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.

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Anzinger, Martina. Gainborough pictures reframed, or, Raising Jane Austen for 1990s film: A film-historic and film-analytical study for the 1955 films Sense and sensibility and Persuasion. P. Lang, 2003.

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Video Analytics For Business Intelligence. Springer, 2012.

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Xiang, Tao, Caifeng Shan, and Fatih Porikli. Video Analytics for Business Intelligence. Springer, 2012.

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Gong, Shaogang, Tao Xiang, Caifeng Shan, and Fatih Porikli. Video Analytics for Business Intelligence. Springer, 2016.

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Book chapters on the topic "Videos analytics"

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Dhanwal, Swapnil, Vishnu Bhaskar, and Tanya Agarwal. "Automated Censoring of Cigarettes in Videos Using Deep Learning Techniques." In Asset Analytics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3643-4_26.

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Guru, D. S., V. K. Jyothi, and Y. H. Sharath Kumar. "Features Fusion for Retrieval of Flower Videos." In Data Analytics and Learning. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2514-4_19.

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Agrawal, Swati, and Ashish Sureka. "Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data." In Big Data Analytics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03689-2_4.

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Manohar, N., Y. H. Sharath Kumar, G. Hemantha Kumar, and Radhika Rani. "Deep Learning Approach for Classification of Animal Videos." In Data Analytics and Learning. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2514-4_35.

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Baluch, Farhan, and Laurent Itti. "Mining Videos for Features that Drive Attention." In Multimedia Data Mining and Analytics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14998-1_14.

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Singh, Neha, Onkareshwar Prasad, and T. Sujithra. "Deep Learning-Based Violence Detection from Videos." In Intelligent Data Engineering and Analytics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6624-7_32.

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Sunny, Alfina, and N. Manohar. "Detection, Classification and Counting of Moving Vehicles from Videos." In Data Analytics and Learning. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6346-1_19.

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Ding, Lei, and Alper Yilmaz. "Learning Social Relations from Videos: Features, Models, and Analytics." In Human-Centered Social Media Analytics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05491-9_2.

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Shaliyar, Mohd, and Khurram Mustafa. "Source Authentication of Videos Shared on Social Media." In Intelligent Data Analytics, IoT, and Blockchain. Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003371380-10.

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Rafiq, Usman, Frédéric Pattyn, and Xiaofeng Wang. "Practitioner Views on Analytics for Software Startups: A Preliminary Guide Based on Gray Literature." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53227-6_22.

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AbstractSoftware startup companies operate under extreme conditions of uncertainty and with limited resources. These innovative companies face constant pressure to find a product-market fit, drive growth, and maintain competitive advantage. The nature of these companies makes them suitable candidates to practice analytics. Analytics can help software startups to use data in several ways e.g. make data-informed decisions, grow business, and provide value to users. However, startup founders tend to put off practicing analytics for a later time. In addition, the existing literature on startups do
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Conference papers on the topic "Videos analytics"

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Undre, Ishan, Pranav Waklekar, Urvish Vasani, Aditya Dhopate, Suruchi Dedgaonkar, and Brajesh Lal. "Product Detection Analytics on Instagram Videos." In 2024 IEEE Pune Section International Conference (PuneCon). IEEE, 2024. https://doi.org/10.1109/punecon63413.2024.10895434.

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Duraimurugan, N., P. Kumar, and R. Jayaprakash. "A Novel Approach on Detecting Deep Fake Imagery in Images and Videos." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10960879.

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Ponik, Suzanne. "Visualizing Dynamic Interactions Within the Tumor Microenvironment Using Label-Free Intravital Imaging." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.ms5a.1.

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Gautam, Rekha, Hui Ma, Pranav Lanka, et al. "Characterization of Subsurface Molecular Changes in Bone Through Raman Spectroscopy." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.mw3a.1.

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Raman spectroscopy detects tissue quality changes through light scattering. We explored its feasibility for identifying molecular changes in bone beneath turbid media, validating protocols for altering mineral density and collagen matrix in cadaveric bones. Full-text article not available; see video presentation
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La Cavera III, Salvatore. "Listening for Cancer at the Sub-Cellular Level With GHz-Ultrasound." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.mm1a.1.

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This talk introduces a new way to investigate and potentially diagnose disease down to the single cellular level. Phonon imaging is a new microscopy and endoscopy technique that probes the abnormal mechanical properties of cancer. Full-text article not available; see video presentation
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Ogien, Jonas, Mariano Suppa, Véronique Del Marmol, et al. "Line-Field Confocal OCT (LC-OCT) for Skin Imaging and Characterization: Technology Overview, Clinical Advances and Future Developments." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.ms1a.1.

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LC-OCT enables 3D in vivo skin imaging at the cellular level. It can be used for the characterization of various skin pathologies. New technical developments promise to further augment the diagnostic capabilities of LC-OCT. Full-text article not available; see video presentation
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Abdulkadir, Ahmed. "Integration of AI in Clinical Practice: Trustworthy Automation in Disease Marker Quantification." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.mm3a.1.

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This talk explores the challenges of integrating artificial intelligence into clinical settings and presents an example of embedding the quantification of disease markers into clinical processes, ensuring the automated process is verifiable, without disrupting existing workflows. Full-text article not available; see video presentation
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Lin, Charles. "In Vivo Flow Cytometry: From Bench to Bedside." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.ms3a.1.

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<br/>The original in vivo flow cytometer was developed for noninvasive detection and quantification of fluorescent cells in the circulation. Here I will present our latest effort for clinical translation using label-free detection. Full-text article not available; see video presentation
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Zheng, Guoan. "Blood-Cell ‘Lens’ for High-Resolution, High-Throughput Ptychographic Microscopy on a Chip." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.mtu3a.1.

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This talk presents the use of blood cells as computational lenses for high-resolution, high-throughput coded ptychographic microscopy, and explores its extensions including optofluidic ptychography, synthetic aperture ptychography, depth-multiplexed imaging, among others. The combination of high phase sensitivity, high spatiotemporal resolution, intrinsic molecular contrast, and ultra-large field of view is unique among existing microscopy techniques. Full-text article not available; see video presentation
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Yesilkoy, Filiz. "Optically Resonant Metasurfaces for Biosensing and Spectrochemical Imaging." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. https://doi.org/10.1364/microscopy.2024.mm5a.1.

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Resonant metasurfaces present extraordinary subwavelength light trapping capabilities critical to developing high-performance biochemical sensors and surface-enhanced spectroscopy techniques. In this talk, I will present results from projects: 1) On the use of plasmonic metasurfaces for quantitative mid-infrared spectrochemical tissue imaging. 2) On the development of multiplexed biosensors for high-throughput antibody detection and COVID-19 immunity screening at the community level. Full-text article not available; see video presentation
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Reports on the topic "Videos analytics"

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Simpson, Diane, Michelle Brennan, and Susan Gomperts. Strategic roadmap for interoperable public safety video analytics. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.ir.8299.

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Simpson, Diane, Michelle Brennan, and Susan Gomperts. Strategic roadmap for interoperable public safety video analytics. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.sp.1500-15.

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Guan, Haiying, Daniel Zhou, Jonathan Fiscus, John Garofolo, and James Horan. Evaluation infrastructure for the measurement of content-based video quality and video analytics performance. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.ir.8187.

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Russell, John. Deliberate Motion Analytics Fused Radar and Video Test Results Deployed Beyond the Perimeter Fence in a High Noise Environment. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1855028.

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Aguilar, G., H. Waqa-Sakiti, and L. Winder. Using Predicted Locations and an Ensemble Approach to Address Sparse Data Sets for Species Distribution Modelling: Long-horned Beetles (Cerambycidae) of the Fiji Islands. Unitec ePress, 2016. http://dx.doi.org/10.34074/book.008.

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In response to unique species in Fiji which are threatened or endangered, and in critical need of effective conservation measures to ensure their survival, author Glenn Aguilar has produced an eMedia publication and learning research tool, called GIS For Conservation.The eMedia website hosts tutorial material, videos and modelling results for conservation management and planning purposes. Users will learn spatial analytical skills, species distribution modelling and other relevant GIS tools, as well as enhance ArcMap skills and the species distribution modelling tool Maxent. Accompanying the G
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Pokryshen, Dmytro A., Evgeniy H. Prokofiev, and Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3272.

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The article is devoted to the coverage of the course “Database management system Microsoft Access”, an educational blog review “The development of a creative child. ІCТ”, which is used as an auxiliary tool for promoting a course and teacher in the Internet, structural analysis of this blog is made. The channel location is set on YouTube video hosting and how it is used in the course on databases. Attention is drawn to the fact that theoretical and practical material is considered on real, implemented informational and analytical systems. To prepare students for the Olympiads and provide method
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7

Shetty, Vyshnavi, Mycola Sauciur, and Anurag Pande. Investigating the Conversion of a Signalized Intersection to a Turbo Roundabout. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2233.

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Turbo roundabouts are multilane roundabouts with helical pavement markings and raised structures. While they have seen widespread use in Europe, California is only the second state in the U.S. (after Florida) to have installed a turbo roundabout. Turbo roundabouts separate the ingress and circulating roadways. The concept was proposed and implemented in the Netherlands to mitigate congestion by improving traffic flow efficiency and addressing safety concerns on conventional multilane roundabouts. This research evaluates the first-ever turbo roundabout in California and compares its safety and
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8

Yatsymirska, Mariya. MODERN MEDIA TEXT: POLITICAL NARRATIVES, MEANINGS AND SENSES, EMOTIONAL MARKERS. Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11411.

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The article examines modern media texts in the field of political journalism; the role of information narratives and emotional markers in media doctrine is clarified; verbal expression of rational meanings in the articles of famous Ukrainian analysts is shown. Popular theories of emotions in the process of cognition are considered, their relationship with the author’s personality, reader psychology and gonzo journalism is shown. Since the media text, in contrast to the text, is a product of social communication, the main narrative is information with the intention of influencing public opinion
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