Literatura científica selecionada sobre o tema "Videos analytics"
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Artigos de revistas sobre o assunto "Videos analytics"
Jain, Puneet, Justin Manweiler, Arup Acharya e Romit Roy Choudhury. "Scalable Social Analytics for Live Viral Event Prediction". Proceedings of the International AAAI Conference on Web and Social Media 8, n.º 1 (16 de maio de 2014): 226–35. http://dx.doi.org/10.1609/icwsm.v8i1.14504.
Texto completo da fonteArulraj, Joy. "Accelerating Video Analytics". ACM SIGMOD Record 50, n.º 4 (31 de janeiro de 2022): 39–40. http://dx.doi.org/10.1145/3516431.3516442.
Texto completo da fonteWang, Han, Shangyu Xie e Yuan Hong. "VideoDP: A Flexible Platform for Video Analytics with Differential Privacy". Proceedings on Privacy Enhancing Technologies 2020, n.º 4 (1 de outubro de 2020): 277–96. http://dx.doi.org/10.2478/popets-2020-0073.
Texto completo da fonteDolores, Maria, e Jorge Mañana-Rodriguez. "Exploring Engagement in Online Videos for Language Learning through YouTube’s Learning Analytics". EDEN Conference Proceedings, n.º 1 (21 de setembro de 2021): 49–58. http://dx.doi.org/10.38069/edenconf-2021-ac0005.
Texto completo da fonteZhang, Jingjing, Yicheng Huang e Ming Gao. "Video Features, Engagement, and Patterns of Collective Attention Allocation". Journal of Learning Analytics 9, n.º 1 (11 de março de 2022): 32–52. http://dx.doi.org/10.18608/jla.2022.7421.
Texto completo da fonteCarpenter, Chris. "Computer Vision Analytics Enables Determination of Rig State". Journal of Petroleum Technology 74, n.º 01 (1 de janeiro de 2022): 96–98. http://dx.doi.org/10.2118/0122-0096-jpt.
Texto completo da fonteLiu, Ying, Dickson K. W. Chiu e Kevin K. W. Ho. "Short-Form Videos for Public Library Marketing: Performance Analytics of Douyin in China". Applied Sciences 13, n.º 6 (7 de março de 2023): 3386. http://dx.doi.org/10.3390/app13063386.
Texto completo da fonteLuo, Zhiming, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li e Hugo Larochelle. "Traffic Analytics With Low-Frame-Rate Videos". IEEE Transactions on Circuits and Systems for Video Technology 28, n.º 4 (abril de 2018): 878–91. http://dx.doi.org/10.1109/tcsvt.2016.2632439.
Texto completo da fonteDAUN, Felipe, e Ana Maria Dianezi GAMBARDELLA. "Educational videos with nutritional approach in YouTube". Revista de Nutrição 31, n.º 3 (maio de 2018): 339–49. http://dx.doi.org/10.1590/1678-98652018000300007.
Texto completo da fonteXiao, Sihan. "More than Data: A Multivocal Inquiry into Video-Based Research on Learning and Teaching". ECNU Review of Education 1, n.º 3 (setembro de 2018): 23–35. http://dx.doi.org/10.30926/ecnuroe2018010302.
Texto completo da fonteTeses / dissertações sobre o assunto "Videos analytics"
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.
Texto completo da fonteIn the face of a rapidly evolving criminal landscape, law enforcement agencies (LEAs) grapple with escalating challenges in contemporary criminal investigations. This PhD thesis embarks on a transformative exploration, encouraged by an urgent need to revolutionize investigative methodologies and arm LEAs with state-of-the-art tools to combat crime effectively. Rooted in this imperative motivation, the research meticulously navigates diverse data sources, including the intricate web of social media networks, omnipresent video surveillance systems, and expansive online platforms, recognizing their fundamental roles in modern crime detection. The contextual backdrop of this research is the pressing demand to empower LEAs with advanced capabilities in intelligent crime detection. The surge in digital interactions necessitates a paradigm shift, compelling researchers to delve deep into the labyrinth of social media, surveillance footage, and online data. This context underscores the urgency to fortify law enforcement strategies with cutting-edge technological solutions. Motivated by urgency, the thesis focuses on three core objectives: firstly, automating suspect identification through the integration of data science, big data tools, and ontological models, streamlining investigations and empowering law enforcement with advanced inference rules; secondly, enabling real-time detection of criminal events within digital noise via intricate ontological models and advanced inference rules, providing actionable intelligence and supporting informed decision-making for law enforcement; and thirdly, enhancing video surveillance by integrating advanced deep learning algorithms for swift and precise detection of knife-related crimes, representing a pioneering advancement in video surveillance technology. Navigating this research terrain poses significant challenges. The integration of heterogeneous data demands robust preprocessing techniques, enabling the harmonious fusion of disparate data types. Real-time analysis of social media intricacies necessitates ontological models adept at discerning subtle criminal nuances within the digital tapestry. Moreover, designing Smart Video Surveillance Systems necessitates the fusion of state-of-the-art deep learning algorithms with real-time video processing, ensuring both speed and precision in crime detection. Against these challenges, the thesis contributes innovative solutions at the forefront of contemporary crime detection technology. The research introduces ICAD, an advanced framework automating suspect identification and revolutionizing investigations. CRI-MEDIA tackles social media crime challenges using a streamlined process and enriched criminal ontology. Additionally, SVSS, a Smart Video Surveillance System, swiftly detects knife-related crimes, enhancing public safety. Integrating ICAD, CRI-MEDIA, and SVSS, this work pioneers intelligent crime detection, empowering law enforcement with unprecedented capabilities in the digital age. Critical to the integrity of the research, the proposed methodologies undergo rigorous experimentation in authentic criminal scenarios. Real-world data gathered from actual investigations form the crucible wherein ICAD, CRI-MEDIA, and SVSS are tested. These experiments serve as a litmus test, affirming not only the viability of the proposed solutions but also offering nuanced insights for further refinement. The results underscore the practical applicability of these methodologies, their adaptability in diverse law enforcement contexts, and their role in enhancing public safety and security
Carpani, Valerio. "CNN-based video analytics". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Encontre o texto completo da fontePettersson, Johan, e 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.
Texto completo da fonteDet finns fler och fler personer som tittar på video strömmar på Internet, detta har lett till att nya företag har startats som konkurerar om tittare. För att förbättra kundupplevelsen kan man mäta hur tjänsten presterar. Målet med examensarbetet var att rekommendera hur man kan mäta tjänstekvalite för en realtidsvideoströmningstjänst. Tre olika lösningsförslag presenterades; att köpa informationen från en content delivery network, att bygga vidare på tillgängliga analytisk mjukvara eller att bygga ett eget paketsniffarprogram. Det bestämdes att bygga vidare på tillgänglig analytisk mjukvara. Fyra olika mjukvara jämfördes: Google Analytics, Mixpanel, Ooyala IQ och Piwik. Jämförelsen gjordes med hjälp av analytical hierarchy process, de olika alternativen jämfördes med avseende på: hur moget API:et var, flexibilitet, visualiseringen av data och support. Rekommendationen är att använda sig av Ooyala IQ som utmärker sig med avseende på flexibilitet, det var enkelt att använda deras API i sin egen lösning, det fanns ingen gräns på hur många händelser man kunde lagra per månad, och slutligen så fanns det dedikerad supportpersonal att nå via telefon eller email.
Hassan, Waqas. "Video analytics for security systems". Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/43406/.
Texto completo da fonteAsif, Muhammad. "Video analytics for intelligent surveillance systems". Thesis, University of Strathclyde, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.530322.
Texto completo da fonteHöferlin, Benjamin [Verfasser]. "Scalable Visual Analytics for Video Surveillance / Benjamin Höferlin". München : Verlag Dr. Hut, 2014. http://d-nb.info/1050331842/34.
Texto completo da fonteCheng, Guangchun. "Video Analytics with Spatio-Temporal Characteristics of Activities". Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc799541/.
Texto completo da fonteLuo, Ning. "A Wireless Traffic Surveillance System Using Video Analytics". Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc68005/.
Texto completo da fonteBarracu, 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/.
Texto completo da fonteHöferlin, Markus Johannes [Verfasser], e 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.
Texto completo da fonteLivros sobre o assunto "Videos analytics"
Distante, Cosimo, Sebastiano Battiato e Andrea Cavallaro, eds. Video Analytics for Audience Measurement. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12811-5.
Texto completo da fonteShan, Caifeng, Fatih Porikli, Tao Xiang e Shaogang Gong, eds. Video Analytics for Business Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28598-1.
Texto completo da fonteShan, Caifeng. Video Analytics for Business Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Encontre o texto completo da fonteEl-Alfy, El-Sayed M., George Bebis e Mengchu Zhou. Intelligent Image and Video Analytics. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003053262.
Texto completo da fonteBai, Xiang, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang et al., eds. Video Analytics. Face and Facial Expression Recognition. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12177-8.
Texto completo da fonteNasrollahi, Kamal, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato e Qiang Ji, eds. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.
Texto completo da fonte1953-, Okuda Ted, ed. The Jerry Lewis films: An analytical filmography of the innovative comic. Jefferson, N.C: McFarland, 1995.
Encontre o texto completo da fonteAnzinger, 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. Frankfurt am Main: P. Lang, 2003.
Encontre o texto completo da fonteXiang, Tao, Caifeng Shan e Fatih Porikli. Video Analytics for Business Intelligence. Springer, 2012.
Encontre o texto completo da fonteVideo Analytics For Business Intelligence. Springer, 2012.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Videos analytics"
Dhanwal, Swapnil, Vishnu Bhaskar e Tanya Agarwal. "Automated Censoring of Cigarettes in Videos Using Deep Learning Techniques". In Asset Analytics, 339–48. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3643-4_26.
Texto completo da fonteGuru, D. S., V. K. Jyothi e Y. H. Sharath Kumar. "Features Fusion for Retrieval of Flower Videos". In Data Analytics and Learning, 221–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2514-4_19.
Texto completo da fonteAgrawal, Swati, e Ashish Sureka. "Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data". In Big Data Analytics, 48–67. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03689-2_4.
Texto completo da fonteManohar, N., Y. H. Sharath Kumar, G. Hemantha Kumar e Radhika Rani. "Deep Learning Approach for Classification of Animal Videos". In Data Analytics and Learning, 421–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2514-4_35.
Texto completo da fonteBaluch, Farhan, e Laurent Itti. "Mining Videos for Features that Drive Attention". In Multimedia Data Mining and Analytics, 311–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14998-1_14.
Texto completo da fonteSingh, Neha, Onkareshwar Prasad e T. Sujithra. "Deep Learning-Based Violence Detection from Videos". In Intelligent Data Engineering and Analytics, 323–32. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6624-7_32.
Texto completo da fonteSunny, Alfina, e N. Manohar. "Detection, Classification and Counting of Moving Vehicles from Videos". In Data Analytics and Learning, 231–42. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6346-1_19.
Texto completo da fonteDing, Lei, e Alper Yilmaz. "Learning Social Relations from Videos: Features, Models, and Analytics". In Human-Centered Social Media Analytics, 21–41. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05491-9_2.
Texto completo da fonteShaliyar, Mohd, e Khurram Mustafa. "Source Authentication of Videos Shared on Social Media". In Intelligent Data Analytics, IoT, and Blockchain, 102–13. Boca Raton: Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003371380-10.
Texto completo da fonteVenkatraman, Santhi, e Puja Saha. "Multimodal Architecture for Emotion Prediction in Videos Using Ensemble Learning". In Big Data Analytics in Smart Manufacturing, 109–20. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003202776-6.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Videos analytics"
Chatar, Crispin, Suhas Suresha, Laetitia Shao, Soumya Gupta e Indranil Roychoudhury. "Determining Rig State from Computer Vision Analytics". In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204086-ms.
Texto completo da fonteLy, Anna, Tingting Zhu e Andrew Petersen. "Evaluating Storytelling Videos Using YouTube Analytics". In SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3626253.3635503.
Texto completo da fonteQingbo Hu, Guan Wang e Philip S. Yu. "Assessing the longevity of online videos: A new insight of a video's quality". In 2014 International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2014. http://dx.doi.org/10.1109/dsaa.2014.7058044.
Texto completo da fonteZhang, Yi, Fan Luan e Yu-Gang Jiang. "Smart Advertising in Videos Based on Comprehensive Content Analytics". In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2019. http://dx.doi.org/10.1109/icmew.2019.00113.
Texto completo da fonteTsai, Min-Han, Nalini Venkatasubramanian e Cheng-Hsin Hsu. "Analytics-Aware Storage of Surveillance Videos: Implementation and Optimization". In 2020 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2020. http://dx.doi.org/10.1109/smartcomp50058.2020.00024.
Texto completo da fonteBarnes, Stuart J., e Weisha Wang. "Understanding Consumer Advertising via Audio Analytics of Sports Videos". In 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2023. http://dx.doi.org/10.1109/icaiic57133.2023.10067125.
Texto completo da fonteKadoic, Nikola, e Dijana Oreski. "Learning Analytics of YouTube Videos Linked to LMS Moodle". In 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2021. http://dx.doi.org/10.23919/mipro52101.2021.9597168.
Texto completo da fonteSaquib, Nazmus, Faria Huq e Syed Arefinul Haque. "graphiti: Sketch-based Graph Analytics for Images and Videos". In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491102.3501923.
Texto completo da fonteMomeni, Hamed, e Arvin Ebrahimkhanlou. "Applications of High-Dimensional Data Analytics in Structural Health Monitoring and Non-Destructive Evaluation: Thermal Videos Processing Using Tensor-Based Analysis". In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-71878.
Texto completo da fonteM.R., Anala, Malika Makker e Aakanksha Ashok. "Anomaly Detection in Surveillance Videos". In 2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW). IEEE, 2019. http://dx.doi.org/10.1109/hipcw.2019.00031.
Texto completo da fonteRelatórios de organizações sobre o assunto "Videos analytics"
Simpson, Diane, Michelle Brennan e Susan Gomperts. Strategic roadmap for interoperable public safety video analytics. Gaithersburg, MD: National Institute of Standards and Technology, março de 2020. http://dx.doi.org/10.6028/nist.ir.8299.
Texto completo da fonteSimpson, Diane, Michelle Brennan e Susan Gomperts. Strategic roadmap for interoperable public safety video analytics. Gaithersburg, MD: National Institute of Standards and Technology, abril de 2020. http://dx.doi.org/10.6028/nist.sp.1500-15.
Texto completo da fonteGuan, Haiying, Daniel Zhou, Jonathan Fiscus, John Garofolo e James Horan. Evaluation infrastructure for the measurement of content-based video quality and video analytics performance. Gaithersburg, MD: National Institute of Standards and Technology, julho de 2017. http://dx.doi.org/10.6028/nist.ir.8187.
Texto completo da fonteRussell, 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), maio de 2021. http://dx.doi.org/10.2172/1855028.
Texto completo da fonteAguilar, G., H. Waqa-Sakiti e 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, dezembro de 2016. http://dx.doi.org/10.34074/book.008.
Texto completo da fontePokryshen, Dmytro A., Evgeniy H. Prokofiev e Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], setembro de 2019. http://dx.doi.org/10.31812/123456789/3272.
Texto completo da fonteYatsymirska, Mariya. MODERN MEDIA TEXT: POLITICAL NARRATIVES, MEANINGS AND SENSES, EMOTIONAL MARKERS. Ivan Franko National University of Lviv, fevereiro de 2022. http://dx.doi.org/10.30970/vjo.2022.51.11411.
Texto completo da fonte