Relevant bibliographies by topics / Digital video

Contents

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

Academic literature on the topic 'Digital video'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Digital video"

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Bartolomé-Pina, Antonio-Ramón. "Digital video." Comunicar 11, no. 21 (October 1, 2003): 39–47. http://dx.doi.org/10.3916/c21-2003-06.

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The author of this paper thinks that educational technology has to face year after year new resolves and proposals from new technologies. Nowadays, the new challenge is called digital video which perhaps for most people is just a new technique for a traditional process. But a lot of persons, including the author, think that this new technology must be studied in depth in order to find out some of its applications in the educational environment. La tecnología educativa, en tanto que preocupada por el uso de los medios tecnológicos en educación, debe enfrentarse cada año a nuevas soluciones y recursos basados en la tecnología. Desde hace unos pocos años se ha comenzado a hablar de vídeo digital. Para algunos es sólo un proceso técnico que se aplica a un medio conocido, para otros es algo más. Este artículo trata de profundizar en algunas ideas clave en relación al vídeo digital así como mostrar algunas aplicaciones que muestran su potencial de uso educativo.
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Johnson, Don, and Mike Johnson. "Digital Video." Clinical Orthopaedics and Related Research 421 (April 2004): 17–24. http://dx.doi.org/10.1097/01.blo.0000126868.90079.61.

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Abate, Joseph A., and Terry Reynolds. "Digital Video." Journal of Diagnostic Medical Sonography 10, no. 5 (September 1994): 253–56. http://dx.doi.org/10.1177/875647939401000502.

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Jurgen, R. K. "Digital video." IEEE Spectrum 29, no. 3 (March 1992): 24–30. http://dx.doi.org/10.1109/6.123322.

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Maddux, Brian N., and David E. Riley. "Digital Video." Movement Disorders 18, no. 5 (April 24, 2003): 602. http://dx.doi.org/10.1002/mds.10373.

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Tiernan, Peter. "Exploring Digital Literacy: How Do Undergraduate Students Evaluate Digital Video for Inclusion in Assignment Work?" Digital Education Review, no. 40 (December 27, 2021): 110–21. http://dx.doi.org/10.1344/der.2021.40.110-121.

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This paper investigates how students evaluate online video for use in assignment work, in order to understand digital literacy with online video in practice. Students sourced content for a written assignment using a customised video retrieval system (VRS), and reflected on their choice of videos. The study examines the key areas influencing the use and evaluation of online video for assignments such as digital literacy, the learning value of video, strategies for integrating video, and the key features of VRSs. This paper examines students' experiences using online video for assignment work and pays particular attention to their evolution of video content and their reasons for selecting videos. Findings show that students select video based on its relevance to their existing knowledge, ability to develop their arguments, and on the source and quality of content. Students display key elements of digital literacy when provided with an authentic task, and the appropriate tools and content to accomplish this. The work also presents a series of recommendations and considerations for future work in the area.
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Yu, Xinguo, Wan Ding, Zhizhong Zeng, and Hon Wai Leong. "Reading Digital Video Clocks." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 04 (May 20, 2015): 1555006. http://dx.doi.org/10.1142/s021800141555006x.

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This paper presents an algorithm for reading digital video clocks reliably and quickly. Reading digital clocks from videos is difficult due to the challenges such as color variety, font diversity, noise, and low resolution. The proposed algorithm overcomes these challenges by using the novel methods derived from the domain knowledge. This algorithm first localizes the digits of a digital video clock and then recognizes the digits representing the time of digital video clock. It is a robust three-step algorithm. The first step is an efficient procedure that directly identifies the region of the second digit at a very low computational cost, which replaces the traditional tedious image processing procedure of identifying the second digit region. The success of the first step mainly leverages on the novel second-pixel periodicity method. Using the acquired second digit region as input, the second step is a clock digit localization procedure. It first acquires the colors of the digits of the digital video clock and performs the color conversion. Then it localizes the remaining clock digits. Finally, the last step is a clock digit recognition procedure. It first employs an enhanced digit-sequence recognition method to robustly recognize the digits on the second; it then adopts a deep learning procedure to recognize the remaining digits. The proposed algorithm is tested on a prepared benchmark of 1000 videos that is publicly available and the experimental results show that it can read digital video clocks with a 100% accuracy at a low computational cost.
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H. Hendi, Sajjad, Karim Q. Hussein, and Hazeem B. Taher. "Digital Video Summarization: A Survey." International Journal of Innovative Computing 13, no. 1-2 (September 13, 2023): 67–71. http://dx.doi.org/10.11113/ijic.v13n1-2.421.

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Video summarization has arisen as a method that can help with efficient storage, rapid browsing, indexing, fast retrieval, and quick sharing of the material. The amount of video data created has grown exponentially over time. Huge amounts of video are produced continuously by a large number of cameras. Processing these massive amounts of video requires a lot of time, labor, and hardware storage. In this situation, a video summary is crucial. The architecture of video summarization demonstrates how a lengthy film may be broken down into shorter, story-like segments. Numerous sorts of studies have been conducted in the past and continue now. As a result, several approaches and methods—from traditional computer vision to more modern deep learning approaches—have been offered by academics. However, several issues make video summarization difficult, including computational hardware, complexity, and a lack of datasets. Many researchers have recently concentrated their research efforts on developing efficient methods for extracting relevant information from videos. Given that data is gathered constantly, seven days a week, this study area is crucial for the advancement of video surveillance systems that need a lot of storage capacity and intricate data processing. To make data analysis easier, make it easier to store information, and make it easier to access the video at any time, a summary of video data is necessary for these systems. In this paper, methods for creating static or dynamic summaries from videos are presented. The authors provide many approaches for each literary form. The authors have spoken about some features that are utilized to create video summaries.
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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the video capture technology by exploiting the VFM video services library developed by Microsoft. Software based on VFW can directly capture digital videos or digitize the traditional analog videos and then clipping them.
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Julianingsih, Denok, and Endang Krisnawati. "Efektivitas Video Digital Storytelling terhadap Hasil Belajar Siswa Kelas X Materi Trigonometri." Journal of Medives : Journal of Mathematics Education IKIP Veteran Semarang 4, no. 1 (January 20, 2020): 129. http://dx.doi.org/10.31331/medivesveteran.v4i1.975.

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Penelitian ini bertujuan untuk mengetahui: 1) perbedaan hasil belajar siswa yang diajar menggunakan video Digital Storytelling dengan siswa yang diajar tanpa menggunakan video Digital Storytelling, 2) efektivitas penggunaan video Digital Storytelling terhadap hasil belajar siswa. Penelitian ini dilakukan di SMA Muhammadiyah 4 pada siswa kelas X. Penelitian ini merupakan penelitian eksperimen dengan teknik probability sampling. Desain pada penelitian ini menggunakan model pretest - posttest control group design. Pengumpulan data dengan menggunakan soal pretest dan posttest menggunakan skor pretest dan skor posttest. Teknik analisa data yang digunakan menggunakan analisis deskriptif dan analisis inferensial. Hasil penelitian menunjukkan ada perbedaan rata-rata hasil belajar siswa yang diajar menggunakan video Digital Storytelling dengan siswa yang diajar tanpa menggunakan video Digital Storytelling. Perbedaan rata-rata hasil belajar antara post-test eksperimen dengan post-test kontrol dari hasil uji Independent Sample Test tersebut adalah 8.67778 sehingga media Digital Storytelling efektif digunakan dalam pembelajaran trigonometri. Penggunaan video Digital Storytellling terbukti efektif digunakan pada pembelajaran trigonometri karena berdasarkan hasil uji independent sample test menunjukkan dapat meningkatkan hasil belajar siswa. Kata kunci: media pembelajaran, video digital storytelling, hasil belajar. ABSTRACT This study aims to determine: 1) differences in student learning outcomes taught using Digital Storytelling videos and students taught without using Digital Storytelling videos, 2) the effectiveness of using Digital Storytelling videos on student learning outcomes. This research was conducted at Muhammadiyah 4 High School in class X students. This study was an experimental study with sampling using probability sampling techniques. The design in this study used a pretest - posttest control group design model. Data collection using pretest scores and posttest scores. The data analysis technique used is descriptive analysis and inferential analysis. The results showed there were differences in the average learning outcomes of students who were taught using Digital Storytelling videos with students who were taught without using Digital Storytelling videos. The difference in average learning outcomes is 8.67778 so that the Digital Storytelling media is effectively used in trigonometric learning. Keywords: learning media, digital video storytelling, learning outcomes.
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Dissertations / Theses on the topic "Digital video"

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Chen, Juan. "Content-based Digital Video Processing. Digital Videos Segmentation, Retrieval and Interpretation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4256.

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Recent research approaches in semantics based video content analysis require shot boundary detection as the first step to divide video sequences into sections. Furthermore, with the advances in networking and computing capability, efficient retrieval of multimedia data has become an important issue. Content-based retrieval technologies have been widely implemented to protect intellectual property rights (IPR). In addition, automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications. In this thesis, a paradigm is proposed to segment, retrieve and interpret digital videos. Five algorithms are presented to solve the video segmentation task. Firstly, a simple shot cut detection algorithm is designed for real-time implementation. Secondly, a systematic method is proposed for shot detection using content-based rules and FSM (finite state machine). Thirdly, the shot detection is implemented using local and global indicators. Fourthly, a context awareness approach is proposed to detect shot boundaries. Fifthly, a fuzzy logic method is implemented for shot detection. Furthermore, a novel analysis approach is presented for the detection of video copies. It is robust to complicated distortions and capable of locating the copy of segments inside original videos. Then, iv objects and events are extracted from MPEG Sequences for Video Highlights Indexing and Retrieval. Finally, a human fighting detection algorithm is proposed for movie annotation.
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Jiang, Xiaofeng. "Multipoint digital video communications." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239548.

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Herbland, Anthony Joël Michel. "Digital video multiplexing architecture." Thesis, University of Hertfordshire, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440162.

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Thom, Gary A., and Edwin Snyder. "Digital Video Telemetry System." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/608381.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
The ability to acquire real-time video from flight test platforms is becoming an important requirement in many test programs. Video is often required to give the flight test engineers a view of critical events during a test such as instrumentation performance or weapons separation. Digital video systems are required because they allow encryption of the video information during transmission. This paper describes a Digital Video Telemetry System that uses improved video compression techniques which typically offer at least a 10:1 improvement in image quality over currently used techniques. This improvement is the result of inter-frame coding and motion compensation which other systems do not use. Better quality video at the same bit rate, or the same quality video at a lower bit rate is achieved. The Digital Video Telemetry System also provides for multiplexing the video information with other telemetered data prior to encryption.
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Shellenbarger, Daniel. "Digital video: my revelation." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1327339404.

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Eliasson, Viktor. "Digital videoregistrering." Thesis, Linköpings universitet, Elektroniksystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-89823.

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This Bachelor thesis examines the possibility of replacing an outdated, analog video recording system to a digital counterpart. It is key that the video and audio signals remain synchronized, generator locked and time stamped. It is up to nine different video sources and a number of audio sources to be recorded and treated in such a manner which enables synchronized playback. The  different video sources do not always follow a universal standard, and differ from format as well as resolution. This thesis aims to compare a number of state of the art commercial of the shelf solutions with proprietary hardware. Great emphasis is placed on giving a functional view over the system features and to evaluate different compression methods. The report also discusses different transmission, storage and playback options. The report culminates in a series of proposed solutions to sub problems which are solved and treated separately, leading to a final proposal from the author. The final draft set how well the system meets pre-set requirements to price.
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Tsoi, Yau Chat. "Video cosmetics : digital removal of blemishes from video /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20TSOI.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 83-86). Also available in electronic version. Access restricted to campus users.
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Pu, Ruonan. "Target-sensitive video segmentation for seamless video composition /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20PU.

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Marlow, Gregory. "Week 00, Video 01: Introduction." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/digital-animation-videos-oer/1.

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Marlow, Gregory. "Week 00, Video 04: D2L." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/digital-animation-videos-oer/4.

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Books on the topic "Digital video"

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Clarke, C. K. P. Digital video. London: BBC, 1989.

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Vandome, Nick. Digital video. New York, N.Y: Barnes & Noble, 2004.

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Macrae, Kyle. Manual De Video Digital/ Digital Video Guide. Barcelona, Spain: Ceac, 2006.

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Winkler, Stefan. Digital Video Quality. West Sussex, England: John Wiley & Sons Ltd,, 2005. http://dx.doi.org/10.1002/9780470024065.

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Diehl, Eric. Securing Digital Video. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17345-5.

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Patrick, McGrath, ed. Editing digital video. London: McGraw-Hill, 2002.

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Luther, Arch C. Using digital video. Boston: AP Professional, 1995.

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Rao, Anand V. Digital video networking. Norwalk, CT: Business Communications Co., 1994.

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Winkler, Stefan. Digital Video Quality. New York: John Wiley & Sons, Ltd., 2005.

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Peter, Symes, ed. Digital video compression. New York: McGraw-Hill, 2004.

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Book chapters on the topic "Digital video"

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Stanković, Srdjan, Irena Orović, and Ervin Sejdić. "Digital Video." In Multimedia Signals and Systems, 199–231. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-4208-0_5.

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Stanković, Srdjan, Irena Orović, and Ervin Sejdić. "Digital Video." In Multimedia Signals and Systems, 231–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23950-7_5.

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Nematollahi, Mohammad Ali, Chalee Vorakulpipat, and Hamurabi Gamboa Rosales. "Video Watermarking." In Digital Watermarking, 67–80. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2095-7_5.

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Inoué, Shinya, and Kenneth R. Spring. "Digital Image Processing." In Video Microscopy, 509–58. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5859-0_12.

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Diehl, Eric. "Digital Cinema." In Securing Digital Video, 189–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17345-5_10.

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James, Daniel. "Video Editing." In Crafting Digital Media, 317–42. Berkeley, CA: Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-1888-3_11.

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Winkler, Stefan. "Video Quality." In Digital Video Quality, 35–70. West Sussex, England: John Wiley & Sons Ltd,, 2013. http://dx.doi.org/10.1002/9780470024065.ch3.

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Müller, Karsten, Heiko Schwarz, Peter Eisert, and Thomas Wiegand. "Video Data Processing." In Digital Transformation, 43–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58134-6_4.

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Weik, Martin H. "digital video disk." In Computer Science and Communications Dictionary, 414. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5072.

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Weik, Martin H. "digital video drive." In Computer Science and Communications Dictionary, 414. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5073.

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Conference papers on the topic "Digital video"

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Souza, Marcos Roberto, and Helio Pedrini. "Digital Video Stabilization: Algorithms and Evaluation." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8299.

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Several devices have allowed the acquisition and editing of videos in various circumstances, such as digital cameras, smartphones and other mobile devices. However, the use of cameras under adverse conditions usually results in non-precise motion and occurrence of shaking, which may compromise the stability of the obtained videos. To overcome such problem, digital stabilization aims to correct camera motion oscillations that occur in the acquisition process, particularly when the cameras are mobile and handled in adverse conditions, through software techniques - without the use of specific hardware - to enhance visual quality either with the intention of enhancing human perception or improving final applications, such as detection and tracking of objects. This is important in order to avoid hardware cost and indispensable for videos already recorded. This work proposed three methods to perform digital video stabilization and two other techniques to evaluate video stabilization quality.
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Souza, Marcos Roberto e., and Helio Pedrini. "Digital Video Stabilization: Algorithms and Evaluation." In XXXII Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/ctd.2019.6338.

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Several devices have allowed the acquisition and editing ofvideos in various circumstances, such as digital cameras, smartphones and other mobile devices. However, the use ofcameras under adverse conditions usually results in non-precise motion and occurrence of shaking, which may compromise the stability of the obtained videos. To overcome such problem, digital stabiliza- tion aims to correct camera motion oscillations that occur in the acquisition process, particularly when the cameras are mobile and handled in adverse con- ditions, through software techniques, without the use of specific hardware, to enhance visual quality either with the intention of enhancing human percep- tion or improving final applications, such as detection and tracking of objects. This is important in order to avoid hardware cost and indispensable for videos already recorded. This work proposed three methods to perform digital video stabilization and two other techniques to evaluate video stabilization quality. 1.
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Li, Francis C., Anoop Gupta, Elizabeth Sanocki, Li-wei He, and Yong Rui. "Browsing digital video." In the SIGCHI conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/332040.332425.

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Hampapur, A., T. Weymouth, and R. Jain. "Digital video segmentation." In the second ACM international conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/192593.192699.

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Cardoso, Igor, Rubens O. Moraes, and Lucas N. Ferreira. "The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos." In FDG 2024: Foundations of Digital Games. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3649921.3650011.

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Souza, Marcos Roberto e., Helena de Almeida Maia, and Hélio Pedrini. "Digital Video Stabilization: Methods, Datasets, and Evaluation." In Concurso de Teses e Dissertações. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/ctd.2024.1961.

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Video stabilization removes shaky camera motion from videos. In our thesis, we presented an extensive review, including a formal problem defini tion, meta-analysis, and other elements, resulting in two survey papers. We introduced new measures for stability assessment and studied the correlation between them and human perception. We also proposed a novel evaluation ap proach for 2D camera motion estimation. We then introduced NAFT, a semi-online DWS method with a neighborhood-aware mechanism to stabilize without an explicit stability definition. We supervised NAFT with SynthStab, our pro posed synthetic dataset. NAFT closed the quality gap with non-DWS methods while reducing the number of parameters and model size by 14×.
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Smith, Todd, Anthony Ruocco, and Bernard Jansen. "Digital video in education." In The proceedings of the thirtieth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/299649.299715.

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Afanasiev, Alexey L., Victor A. Banakh, Dmitry A. Marakasov, Valery A. Aksenov, and Alexey A. Toporkov. "Video-digital crosswind meters." In 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2020. http://dx.doi.org/10.1117/12.2575565.

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Christel, Michael, Scott Stevens, and Howard Wactlar. "Informedia digital video library." In the second ACM international conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/192593.197413.

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Guler, Sadiye. "Advanced digital video surveillance." In Enabling Technologies for Law Enforcement, edited by Simon K. Bramble, Edward M. Carapezza, and Lenny I. Rudin. SPIE, 2001. http://dx.doi.org/10.1117/12.417565.

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Reports on the topic "Digital video"

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Schuler, J., D. Scribner, and M. Kruer. Super Sampling of Digital Video. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada389630.

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Ghai, Manju. Intelligent Analyst Digital Video Library Prototype. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada408507.

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Perschau, Stephen. Performance Assessment of Digital Video Teleconferencing Systems. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada324860.

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R. P. Tsang, H. Y. Chen, J. M. Brandt, and J. A. Hutchins. Digital video technologies and their network requirements. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/751027.

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Hallman, Harvey K. Multimedia Technical Libraries: Informedia Digital Video Library System. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada310911.

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Li, Huiping, David Doermann, and Omid Kia. Automatic Text Detection and Tracking in Digital Video. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada458675.

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Mobasseri, Bijan G., Yimin Zhang, Moeness Amin, Behzad M. Dogahe, and Christopher Fleming. Digital Watermarking of Autonomous Vehicles Imagery and Video Communication. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada439582.

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Smith, A. Solutions for Digital Video Transmission Technology, CRADA No. TC02068.0. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/1028203.

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Smith, A. T., and W. Rivers. Solutions for Digital Video Transmission Technology Final Report CRADA No. TC02068.0. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1396230.

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Zafar, S., Y. Q. Zhang, and B. Jabbari. Block-classified bidirectional motion compensation scheme for wavelet-decomposed digital video. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/510391.

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