Relevant bibliographies by topics / Video databases

Contents

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

Academic literature on the topic 'Video databases'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Video databases"

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Agarla, Mirko, Luigi Celona, and Raimondo Schettini. "An Efficient Method for No-Reference Video Quality Assessment." Journal of Imaging 7, no. 3 (2021): 55. http://dx.doi.org/10.3390/jimaging7030055.

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Methods for No-Reference Video Quality Assessment (NR-VQA) of consumer-produced video content are largely investigated due to the spread of databases containing videos affected by natural distortions. In this work, we design an effective and efficient method for NR-VQA. The proposed method exploits a novel sampling module capable of selecting a predetermined number of frames from the whole video sequence on which to base the quality assessment. It encodes both the quality attributes and semantic content of video frames using two lightweight Convolutional Neural Networks (CNNs). Then, it estima
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Mozhaeva, Anastasia, Elizaveta Vashenko, Vladimir Selivanov, Alexei Potashnikov, Igor Vlasuyk, and Lee Streeter. "Analysis of current video databases for quality assessment." T-Comm 16, no. 2 (2022): 48–56. http://dx.doi.org/10.36724/2072-8735-2022-16-2-48-56.

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The popularity of video streaming has grown significantly over the past few years. Video quality prediction metrics can be used to perform extensive video codec analysis and customize high-quality assurance. Video databases with subjective ratings form an important basis for training video quality metrics, and codecs based on machine learning algorithms. More than three dozen subjective video databases are now available. In this article, modern video databases are presented, analyzed current database and findings methods for improving. For analysis, performance criteria are proposed based on s
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Kamble, Shailesh D., Dilip Kumar Jang Bahadur Saini, Sachin Jain, Kapil Kumar, Sunil Kumar, and Dharmesh Dhabliya. "A novel approach of surveillance video indexing and retrieval using object detection and tracking." Journal of Interdisciplinary Mathematics 26, no. 3 (2023): 341–50. http://dx.doi.org/10.47974/jim-1665.

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The problem of searching videos in large databases i.e. multimedia applications is a major challenge. Therefore, video indexing is used to search the location of the particular video in a large database quickly. Quickly locating the video in the large database is the good quality of indexing. Still, there is a scope of improvement in quickly searching a video in a large database in terms of assigning labels to video. In computer vision, real-time object detection and tracking is a gigantic, vibrant yet indecisive and intricate area. You only look once (YOLO) algorithm is used to detect the obj
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Jain, Ramesh, and Arun Hampapur. "Metadata in video databases." ACM SIGMOD Record 23, no. 4 (1994): 27–33. http://dx.doi.org/10.1145/190627.190638.

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Patel, Nilesh V., and Ishwar K. Sethi. "Video shot detection and characterization for video databases." Pattern Recognition 30, no. 4 (1997): 583–92. http://dx.doi.org/10.1016/s0031-3203(96)00114-8.

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Shearer, Kim, Svetha Venkatesh, and Dorota Kieronska. "Spatial Indexing for Video Databases." Journal of Visual Communication and Image Representation 7, no. 4 (1996): 325–35. http://dx.doi.org/10.1006/jvci.1996.0028.

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Morand, Cl, J. Benois-Pineau, J. Ph Domenger, J. Zepeda, E. Kijak, and Ch Guillemot. "Scalable object-based video retrieval in HD video databases." Signal Processing: Image Communication 25, no. 6 (2010): 450–65. http://dx.doi.org/10.1016/j.image.2010.04.004.

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Bertino, Elisa, Ahmed K. Elmagarmid, and Mohand-Saïd Hacid. "A database approach to quality of service specification in video databases." ACM SIGMOD Record 32, no. 1 (2003): 35–40. http://dx.doi.org/10.1145/640990.640995.

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CH, Subrahmanyam, Venkata Rao D, and Usha Rani N. "Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 1 (2015): 71. http://dx.doi.org/10.11591/ijece.v5i1.pp71-77.

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<p>In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding). The proposed method takes advantage of the contrast changes in the video quality by luminance changes. The proposed quality metric was tested by using LIVE video database. The experimental results show that the new index performance compared with the other NR-VQA models that require training on LIVE video databases, CSIQ video database, and VQEG HDTV video database. The values are compared
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CHEN, SHU-CHING, NA ZHAO, and MEI-LING SHYU. "MODELING SEMANTIC CONCEPTS AND USER PREFERENCES IN CONTENT-BASED VIDEO RETRIEVAL." International Journal of Semantic Computing 01, no. 03 (2007): 377–402. http://dx.doi.org/10.1142/s1793351x07000159.

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In this paper, a user-centered framework is proposed for video database modeling and retrieval to provide appealing multimedia experiences on the content-based video queries. By incorporating the Hierarchical Markov Model Mediator (HMMM) mechanism, the source videos, segmented video shots, visual/audio features, semantic events, and high-level user perceptions are seamlessly integrated in a video database. With the hierarchical and stochastic design for video databases and semantic concept modeling, the proposed framework supports the retrieval for not only single events but also temporal sequ
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Dissertations / Theses on the topic "Video databases"

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Khoja, Shakeel. "Thematic indexing in video databases." Thesis, University of Southampton, 2001. https://eprints.soton.ac.uk/266933/.

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This thesis presents a novel video database system, called tv-DbMS, which caters for complex and long videos, such as documentaries and educational videos. As compared to relatively structured format videos like news or commercial advertisements, this database system has the capacity to work with long and relatively unstructured videos, by using the thematic indexing model. Thematic indexing is a novel way to track a story in a video. A video contains many themes, which are implicitly related to each other. In order to resolve queries about particular scenes in a video, the scenes are stored h
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Salam, Sazilah. "VidIO : a model for personalized video information management." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242411.

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Acar, Esra. "Efficient index structures for video databases." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609322/index.pdf.

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Content-based retrieval of multimedia data has been still an active research area. The efficient retrieval of video data is proven a difficult task for content-based video retrieval systems. In this thesis study, a Content-Based Video Retrieval (CBVR) system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficiently retrieving videos based on low-level features such as color, texture, shape and motion is presented. The system represents low-level features of video data with MPEG-7 Descriptors extracted from video shots by using MPEG-7 reference software and sto
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Xie, Enhai. "Spatial data structure indexing for video databases." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0023/MQ62164.pdf.

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Xie, Enhai. "Spatial data structure indexing for video databases." Thesis, University of New Brunswick, 1999. http://hdl.handle.net/1882/298.

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Shu, Allen. "Use of shot/scene parsing in generating and browsing video databases." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36985.

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Cheema, Muhammad Shahzad [Verfasser]. "Efficient Human Activity Recognition in Large Image and Video Databases / Muhammad Shahzad Cheema." Bonn : Universitäts- und Landesbibliothek Bonn, 2014. http://d-nb.info/1060787385/34.

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Williams, Walter K. "Video Game Development Strategies for Creating Successful Cognitively Challenging Games." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4762.

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The video game industry is a global multibillion dollar industry with millions of players. The process of developing video games is essential for the continued growth of the industry, and developers need to employ effective strategies that will help them to create successful games. The purpose of this explorative qualitative single case study was to investigate the design strategies of video game developers who have successfully created video games that are challenging, entertaining, and successful. The technology acceptance model served as a conceptual framework. The entire population for thi
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Ozgur, Nezihe Burcu. "An Intelligent Fuzzy Object-oriented Database Framework For Video Database Applications." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608913/index.pdf.

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Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge base technologies. It is also necessary for many real life video database applications to incorporate uncertainty, which naturally occurs due to the complex and subjective semantic content of video data. In this thesis study, firstly, a fuzzy conceptual data model is introduced to represent the semantic content of video data. UML (Unified Modeling Language) is utilized and extended to represent uncertain information along with v
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Erozel, Guzen. "Natural Language Interface On A Video Data Model." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606251/index.pdf.

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The video databases and retrieval of data from these databases have become popular in various business areas of work with the improvements in technology. As a kind of video database, video archive systems need user-friendly interfaces to retrieve video frames. In this thesis, an NLP based user interface to a video database system is developed using a content-based spatio-temporal video data model. The data model is focused on the semantic content which includes objects, activities, and spatial properties of objects. Spatio-temporal relationships between video objects and also trajectories of m
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Books on the topic "Video databases"

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Hacid, Mohand-Saïd. Video data. Kogan Page Science, 2003.

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Oge, Marques, ed. Handbook of video databases: Design and applications. CRC Press, 2003.

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A, Hanjalic, ed. Image and video databases: Restoration, watermarking, and retrieval. Elsevier Science B. V., 2000.

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Kaisha, Fujitsū Sōken Kabushiki, ed. Heisei 19-nendo Keizai Sangyōshō jōhō daikōkai purojekuto (kiban kyōtsū gijutsu kaihatsu to kenshō) .: Eizō no imi rikai no tame no kiban gijutsu : hōkokusho. Fujitsū Sōken, 2008.

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Kaisha, Fujitsū Sōken Kabushiki, ed. Heisei 19-nendo Keizai Sangyōshō jōhō daikōkai purojekuto (kiban kyōtsū gijutsu kaihatsu to kenshō) .: Eizō no imi rikai no tame no kiban gijutsu : hōkokusho. Fujitsū Sōken, 2008.

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Wayne, Niblack, Jain Ramesh 1949-, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Storage and retrieval for image and video databases II. SPIE, 1994.

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1962-, Jonker Willem, ed. Content-based video retrieval: A database perspective. Kluwer Academic Publishers, 2004.

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Petkovic̐, Milan. Content-based video retrieval: A database perspective. Kluwer Academic, 2004.

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1948-, Sethi Ishwar K., Jain Ramesh 1949-, Society of Photo-optical Instrumentation Engineers., and IS & T--the Society for Imaging Science and Technology., eds. Storage and retrieval for image and video databases V: 13-14 February, 1997, San Jose, California. SPIE, 1997.

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IEEE, International Workshop on Content-Based Access of Image and Video Databases (2nd 1998 Bombay India). 1998 IEEE International Workshop on Content-Based Access of Image and Video Database: Proceedings, January 3, 1998, Bombay, India. IEEE Computer Society, 1998.

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Book chapters on the topic "Video databases"

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Cesarano, C., M. Fayzullin, A. Picariello, and V. S. Subrahmanian. "Video Databases." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_243.

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Hajji, Hicham, Mohand-Said Hacid, and Farouk Toumani. "Discovering Structures in Video Databases." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39592-8_84.

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Ryu, Eunsook, Yonghun Kim, Mi-Young Lee, and Kyuchul Lee. "Structured Modeling for Video Databases." In Advances in Database Technologies. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-49121-7_50.

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Arikawa, Masatoshi, and Tetsu Kamiyama. "Spatial Browsing for Video Databases." In Advanced Multimedia Content Processing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48962-2_21.

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Thakoor, Ninad S., Alberto C. Cruz, and Bir Bhanu. "Video Bioinformatics Databases and Software." In Computational Biology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23724-4_17.

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Yazici, Adnan, Öznur Yavuz, and Roy George. "An MPEG-7 Based Video Database Management System." In Spatio-Temporal Databases. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09968-1_9.

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Novikov, Boris, and Oleg Proskurnin. "Towards Collaborative Video Authoring." In Advances in Databases and Information Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39403-7_28.

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Hjelsvold, Rune, Roger Midtstraum, and Olav Sandstå. "A Temporal Foundation of Video Databases." In Workshops in Computing. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3033-8_16.

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Assent, Ira, and Hardy Kremer. "Robust Adaptable Video Copy Detection." In Advances in Spatial and Temporal Databases. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02982-0_25.

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Lie, Peter W. K., John C. S. Lui, and Leana Golubchik. "Threshold-Based Dynamic Replication in Large-Scale Video-on-Demand Systems." In Continuous Media Databases. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4511-8_3.

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Conference papers on the topic "Video databases"

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Macer, P. J. "Video storyboards: summarising video sequences for indexing and searching of video databases." In IEE Colloquium on Intelligent Image Databases. IEE, 1996. http://dx.doi.org/10.1049/ic:19960740.

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Hampapur, Arun, Ramesh C. Jain, and Terry E. Weymouth. "Indexing in video databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Wayne Niblack and Ramesh C. Jain. SPIE, 1995. http://dx.doi.org/10.1117/12.205296.

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Zhou, Renjie, Samamon Khemmarat, Lixin Gao, and Huiqiang Wang. "Boosting video popularity through recommendation systems." In Databases and Social Networks. ACM Press, 2011. http://dx.doi.org/10.1145/1996413.1996416.

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Hjelsvold, Rune, and Roger Midtstraum. "Databases for video information sharing." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Wayne Niblack and Ramesh C. Jain. SPIE, 1995. http://dx.doi.org/10.1117/12.205294.

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Naphade, Milind R., Ching-Yung Lin, John R. Smith, Belle L. Tseng, and Sankar Basu. "Learning to annotate video databases." In Electronic Imaging 2002, edited by Minerva M. Yeung, Chung-Sheng Li, and Rainer W. Lienhart. SPIE, 2001. http://dx.doi.org/10.1117/12.451096.

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Lee, Jungwoo, and Bradley W. Dickinson. "Multiresolution video indexing for subband coded video databases." In IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, edited by Carlton W. Niblack and Ramesh C. Jain. SPIE, 1994. http://dx.doi.org/10.1117/12.171773.

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Kimia, Benjamin B., Jackie Chan, Dale Bertrand, Seth Coe, Zachary Roadhouse, and Hueseyin Tek. "Shock-based approach for indexing of image databases using shape." In Voice, Video, and Data Communications, edited by C. C. Jay Kuo, Shih-Fu Chang, and Venkat N. Gudivada. SPIE, 1997. http://dx.doi.org/10.1117/12.290349.

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Arman, Farshid, Arding Hsu, and Ming-Yee Chiu. "Feature management for large video databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Carlton W. Niblack. SPIE, 1993. http://dx.doi.org/10.1117/12.143638.

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Swanberg, Deborah, Chiao-Fe Shu, and Ramesh C. Jain. "Knowledge-guided parsing in video databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Carlton W. Niblack. SPIE, 1993. http://dx.doi.org/10.1117/12.143647.

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Delp III, Edward J. "Video and image databases: who cares?" In Electronic Imaging '99, edited by Minerva M. Yeung, Boon-Lock Yeo, and Charles A. Bouman. SPIE, 1998. http://dx.doi.org/10.1117/12.333894.

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Reports on the topic "Video databases"

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Decleir, Cyril, Mohand-Saïd Hacid, and Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.

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Indexing video data is essential for providing content based access. In this paper, we consider how database technology can offer an integrated framework for modeling and querying video data. As many concerns in video (e.g., modeling and querying) are also found in databases, databases provide an interesting angle to attack many of the problems. From a video applications perspective, database systems provide a nice basis for future video systems. More generally, database research will provide solutions to many video issues even if these are partial or fragmented. From a database perspective, v
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Ben-Arie, Jezekiel, A. P. Sistla, and Clement Yu. Retrieval from Video and Pictorial Databases Employing Similarity and Motion. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada398364.

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Foley, Brian Thomas. HIV Databases video tutorial on use of the HIV sequence quality control tool. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1566101.

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Cruces, Guillermo, Johanna Fajardo, Pablo Hernández, et al. A Better World for Migrants in Latin America and the Caribbean: Dataset. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005082.

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This dataset is the result of an experiment conducted in nine countries in Latin America and the Caribbean and published as the book "A Better World for Migrants in Latin America and the Caribbean". This project is joint work between the IDB and UNDP. The databases contain data collected for the impact evaluation of an intervention designed to explore which mechanisms are more effective in changing people's beliefs and attitudes toward migrants. The experiment was conducted in nine countries in Latin America and the Caribbean and consisted of two video interventions. The first video, the infor
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Li, Rongyang, Jianhao Qiu, and Chenghao Qu. The effectiveness of non-routine chest tube drainage strategy after video-assisted thoracoscopic pulmonary resection: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.4.0026.

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Review question / Objective: We intend to perform a systematic review and meta-analysis to further identify the safety and feasibility of the non-routine chest tube drainage strategy after video-assisted thoracoscopic pulmonary resection. Condition being studied: Comparison of perioperative outcomes between with and without routine chest tube drainage after video-assisted thoracoscopic pulmonary resection. Information sources: Electronic databases : Pubmed, EMBASE and Cochrane Library. We also manually searched the reference lists of excluded publications to identify any further potential nond
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Nadella, Sri Harsha. An XML-based system for management and query of video databases with user identifiable and annotated scenes. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-203.

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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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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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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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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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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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Zeng, Yongjian, Zhiyi Guo, Kejia Yang, Jing Lei, Zhidong Guo, and Xianjuan Sun. Deep brain stimulation in the treatment of Tourette's syndrome: a Meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0065.

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Review question / Objective: Patients who meet the clinical diagnostic criteria of Gilles de la Tourette syndrome (DSM-IV/DSM-V) are included, regardless of race, sex, age, etc. Deep brain electrical stimulation for the treatment of Tourette's syndrome, with no limit on the specific procedure and duration of stimulation. Randomized controlled trials were selected, the language was limited to Chinese and English, and there were no restrictions on race, age, sex and so on. The main outcome indicators were the Yale Global tic severity scale score. Other outcome indicators included the Modified Ru
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