Bibliografias temáticas / Video compression

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Literatura científica selecionada sobre o tema "Video compression"

Autor: Grafiati
Publicado: 4 de junho de 2021
Última modificação: 25 de julho de 2025

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Artigos de revistas sobre o assunto "Video compression"

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Rajasekhar, H., and B. Prabhakara Rao. "An Efficient Video Compression Technique Using Watershed Algorithm and JPEG-LS Encoding." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6671–79. http://dx.doi.org/10.1166/jctn.2016.5613.

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In the previous video compression method, the videos were segmented by using the novel motion estimation algorithm with aid of watershed method. But, the compression ratio (CR) of compression with novel motion estimation algorithm was not giving an adequate result. Moreover this methods performance is needed to be improved in the encoding and decoding processes. Because most of the video compression methods have utilized encoding techniques like JPEG, Run Length, Huffman coding and LSK encoding. The improvement of the encoding techniques in the compression process will improve the compression
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Veeraswamy, Mr D. "3D-Based Compression Framework for High Quality Video Streaming." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2628–36. https://doi.org/10.22214/ijraset.2025.68746.

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Video compression plays a pivotal role in managing the storage and transmission of multimedia content, especially in bandwidth-constrained environments. Nowadays, volumetric video has emerged as an attractive multimedia application, which provides highly immersive watching experiences. How- ever, streaming the volumetric video demands prohibitively high bandwidth. Thus, effectively compressing its underlying point cloud frames is essential to deploying the volumetric videos. The existing compression techniques are either 3D-based or 2D-based, but they still have drawbacks when being deployed i
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Mishra, Amit Kumar. "Versatile Video Coding (VVC) Standard: Overview and Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 2 (2019): 975–81. http://dx.doi.org/10.17762/turcomat.v10i2.13578.

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Information security includes picture and video compression and encryption since compressed data is more secure than uncompressed imagery. Another point is that handling data of smaller sizes is simple. Therefore, efficient, secure, and simple data transport methods are created through effective data compression technology. Consequently, there are two different sorts of compression algorithm techniques: lossy compressions and lossless compressions. Any type of data format, including text, audio, video, and picture files, may leverage these technologies. In this procedure, the Least Significant
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Et. al., G. Megala,. "State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (2021): 1256–72. http://dx.doi.org/10.17762/turcomat.v12i5.1793.

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Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standard
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Strachan, David, Margarida DeBruin, and Robert Marhong. "Video Compression." SMPTE Journal 105, no. 2 (1996): 68–73. http://dx.doi.org/10.5594/j04666.

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Butar-Butar, Ronaldo P. "Kompresi File Video Menggunakan Algoritma Yamamoto’s Recursive Code." Bulletin of Data Science 3, no. 1 (2023): 149–59. https://doi.org/10.47065/bulletinds.v3i1.5693.

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At this time it is very common to use it in all aspects, from advertising, films, even learning during the COVID-19 pandemic using video media as a learning medium. Large video file sizes can reduce free space on storage media such as hard drives, flash drives and so on. The more videos that are stored, the less free space is left, or even no free space is left on the storage media. This will not cause a problem if the storage media used has a large capacity, but not everyone has a large storage media. One way to overcome this problem is to use compression techniques. Data compression is a pro
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Gao, Lisha, Zhoujun Ma, Shuo Han, Tiancheng Zhao, Qingcheng Liu, and Zhangjie Fu. "Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video." Information 15, no. 9 (2024): 555. http://dx.doi.org/10.3390/info15090555.

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Classic video compression methods usually suffer from long encode time and requires large memories, making it hard to deploy on edge devices; thus, video compressive sensing, which requires less resources during encoding, is receiving more attention. We propose a robust mixed-rate ROI-aware video compressive sensing algorithm for transmission line surveillance video compression. The proposed method compresses foreground targets and background frames separately and uses reversible neural network to reconstruct original frames. The result on transmission line surveillance video data shows that t
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Mohammed, Dhrgham Hani, and Laith Ali Abdul-Rahaim. "A Proposed of Multimedia Compression System Using Three - Dimensional Transformation." Webology 18, SI05 (2021): 816–31. http://dx.doi.org/10.14704/web/v18si05/web18264.

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Video compression has become especially important nowadays with the increase of data transmitted over transmission channels, the reducing the size of the videos must be done without affecting the quality of the video. This process is done by cutting the video thread into frames of specific lengths and converting them into a three-dimensional matrix. The proposed compression scheme uses the traditional red-green-blue color space representation and applies a three-dimensional discrete Fourier transform (3D-DFT) or three-dimensional discrete wavelet transform (3D-DWT) to the signal matrix after c
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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2022.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag
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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2023.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag
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Teses / dissertações sobre o assunto "Video compression"

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Zhang, Fan. "Parametric video compression." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574421.

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Advances in communication and compression technologies have facilitated the transmission of high quality video content across a broad range of net- works to numerous terminal types. Challenges for video coding continue to increase due to the demands on bandwidth from increased frame rates, higher resolutions and complex formats. In most cases, the target of any video coding algorithm is, for a given bitrate, to provide the best subjective quality rather than simply produce the most similar pictures to the originals. Based on this premise, texture analysis and synthesis can be utilised to provi
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Stampleman, Joseph Bruce. "Scalable video compression." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/70216.

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Cilke, Tom. "Video Compression Techniques." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615075.

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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada<br>This paper will attempt to present algorithms commonly used for video compression, and their effectiveness in aerospace applications where size, weight, and power are of prime importance. These techniques will include samples of one-, two-, and three-dimensional algorithms. Implementation of these algorithms into usable hardware is also explored but limited to monochrome video only.
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Bordes, Philippe. "Adapting video compression to new formats." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S003/document.

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Les nouvelles techniques de compression vidéo doivent intégrer un haut niveau d'adaptabilité, à la fois en terme de bande passante réseau, de scalabilité des formats (taille d'images, espace de couleur…) et de compatibilité avec l'existant. Dans ce contexte, cette thèse regroupe des études menées en lien avec le standard HEVC. Dans une première partie, plusieurs adaptations qui exploitent les propriétés du signal et qui sont mises en place lors de la création du bit-stream sont explorées. L'étude d'un nouveau partitionnement des images pour mieux s'ajuster aux frontières réelles du mouvement p
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Rambaruth, Ratna. "Region-based video compression." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843377/.

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First generation image coding standards are now well-established and coders based on these standards are commercially available. However, for emerging applications, good quality at even lower bitrates is required. Ways of exploiting higher level visual information are currently being explored by the research community in order to achieve high compression. Unfortunately very high level approaches are bound to be restrictive as they are highly dependent on the accuracy of lower-level vision operations. Region-based coding only relies on mid-level image processing and thus is viewed as a promisin
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Stephens, Charles R. "Video Compression Standardization Issues." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615077.

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International Telemetering Conference Proceedings / October 17-20, 1988 / Riviera Hotel, Las Vegas, Nevada<br>This paper discusses the development of a standard for compressed digital video. The benefits and applications of compressed digital video are reviewed, and some examples of compression techniques are presented. A hardware implementation of a differential pulse code modulation approach is examined.
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Subramanian, Vivek. "Content-aware Video Compression." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254394.

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In a video there are certain regions in the image that viewers focus on more than others, which are called the salient regions or Regions­Of-Interest (ROI). This thesis aims to improve the perceived quality of videos by improving the quality of these ROis while degrading the quality of the other non-ROI regions of a frame to keep the same bitrate as would have been the case otherwise. This improvement is achieved by using saliency maps generated using an eye tracker or a deep neural network and providing this information to a modified video encoder. In this thesis the open source x264 encoder
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Yap, S. Y. "SoC architectures for video compression." Thesis, Queen's University Belfast, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411805.

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Honoré, Francis. "A concurrent video compression system." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37997.

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Mazhar, Ahmad Abdel Jabbar Ahmad. "Efficient compression of synthetic video." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9019.

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Streaming of on-line gaming video is a challenging problem because of the enormous amounts of video data that need to be sent during game playing, especially within the limitations of uplink capabilities. The encoding complexity is also a challenge because of the time delay while on-line gamers are communicating. The main goal of this research study is to propose an enhanced on-line game video streaming system. First, the most common video coding techniques have been evaluated. The evaluation study considers objective and subjective metrics. Three widespread video coding techniques are selecte
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Livros sobre o assunto "Video compression"

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Beach, Andy. Video compression. Peachpit, 2007.

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Beach, Andy. Video compression. Peachpit, 2007.

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Punchihewa, Amal. Video compression. InTech, 2012.

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Effelsberg, Wolfgang. Video compression techniques. dpunkt-Verlag, 1998.

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

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Bhojani, Dhaval R., Vedvyas J. Dwivedi, and Rohit M. Thanki. Hybrid Video Compression Standard. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0245-3.

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Mitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall, eds. MPEG Video Compression Standard. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4587-7.

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Mitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. MPEG Video Compression Standard. Springer US, 1996. http://dx.doi.org/10.1007/b115884.

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L, Mitchell Joan, ed. MPEG video: Compression standard. Chapman & Hall, 1996.

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Wu, Chwan-Hwa. Techniques for video compression. Auburn University, 1995.

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Capítulos de livros sobre o assunto "Video compression"

1

Salomon, David. "Video Compression." In Data Compression. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-86092-8_7.

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Janus, Scott. "Video Compression." In Handbook of Visual Display Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_24.

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Chen, Yu-Han, and Liang-Gee Chen. "Video Compression." In Handbook of Signal Processing Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6859-2_2.

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Janus, Scott. "Video Compression." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35947-7_24-2.

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Salomon, David, and Giovanni Motta. "Video Compression." In Handbook of Data Compression. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-903-9_9.

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Janus, Scott. "Video Compression." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_24.

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Chen, Yu-Han, and Liang-Gee Chen. "Video Compression." In Handbook of Signal Processing Systems. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6345-1_5.

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Salomon, David. "Video Compression." In A Guide to Data Compression Methods. Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21708-6_6.

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Pereira, Rafael Silva, and Karin K. Breitman. "Video Compression." In Video Processing in the Cloud. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2137-4_3.

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Sun, Lingfen, Is-Haka Mkwawa, Emmanuel Jammeh, and Emmanuel Ifeachor. "Video Compression." In Computer Communications and Networks. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4905-7_3.

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Trabalhos de conferências sobre o assunto "Video compression"

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Norkin, Andrey. "Banding Prevention for AVM Video Codec." In 2025 Data Compression Conference (DCC). IEEE, 2025. https://doi.org/10.1109/dcc62719.2025.00012.

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Xiaoran Hao, Bojin Zhuang, and Anni Cai. "Measurement compression in distributed compressive video sensing." In Multimedia Technology (IC-BNMT 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbnmt.2010.5705210.

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Asif, M. Salman, Felix Fernandes, and Justin Romberg. "Low-complexity video compression and compressive sensing." In 2013 Asilomar Conference on Signals, Systems and Computers. IEEE, 2013. http://dx.doi.org/10.1109/acssc.2013.6810345.

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Rippel, Oren, Sanjay Nair, Carissa Lew, Steve Branson, Alexander Anderson, and Lubomir Bourdev. "Learned Video Compression." In 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2019. http://dx.doi.org/10.1109/iccv.2019.00355.

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Leguay, Thomas, Théo Ladune, Pierrick Philippe, and Olivier Déforges. "Cool-chic video: Learned video coding with 800 parameters." In 2024 Data Compression Conference (DCC). IEEE, 2024. http://dx.doi.org/10.1109/dcc58796.2024.00010.

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So, Simon W., and Clement H. C. Leung. "Inverted image indexing and compression." 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/10.1117/12.290346.

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Szekiełda, Jakub, Adrian Dziembowski, and Dawid Mieloch. "The Influence of Coding Tools on Immersive Video Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.21.

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This paper summarizes the research on the influence of HEVC(High Efficiency Video Coding)configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression –MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that the
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Szekiełda, Jakub, Adrian Dziembowski, and Dawid Mieloch. "The Influence of Coding Tools on Immersive Video Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita v Plzni, 2021. http://dx.doi.org/10.24132/csrn.2021.3101.21.

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This paper summarizes the research on the influence of HEVC (High Efficiency Video Coding) configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression – MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that
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Xiu, Xiaoyu, Yuwen He, Yan Ye, et al. "Improved Video Coding Techniques for Next Generation Video Coding Standard." In 2019 Data Compression Conference (DCC). IEEE, 2019. http://dx.doi.org/10.1109/dcc.2019.00037.

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Chen, Cheng, Jingning Han, and Yaowu Xu. "Video Denoising for the Hierarchical Coding Structure in Video Coding." In 2020 Data Compression Conference (DCC). IEEE, 2020. http://dx.doi.org/10.1109/dcc47342.2020.00049.

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Relatórios de organizações sobre o assunto "Video compression"

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Zakhor, Avideh. Video Compression Algorithms for Transmission and Video. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada327255.

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Venkatraman, Mahesh, Heesung Kwon, and Nasser M. Nasrabadi. Video Compression using Vector Quantization. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada344253.

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Woods, John W. Scalable and Robust Video Compression. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada391136.

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Woods, John W., and Shivkumar Kalyanaraman. Streaming Video Compression for Heterogeneous Networks. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada424493.

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Fitzgerald, D. Market survey of video compression systems. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5342824.

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Ramchandran, Kannan. Unified Platform-Independent Airborne Networking Architecture for Video Compression. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484692.

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Fu, Chi Yung, and John E. Tope. Video Compression Routines Final Report CRADA No. TSB-1183-95. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1424652.

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Fu, C. Video Compression Routines Final Report CRADA No. TSB-1183-95. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/756386.

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Smith, Michael, Jonathan Bisila, Renee Gooding, and Christina Ting. Identifying and Explaining Anomalous Activity in Surveillance Video with Compression Algorithms. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2430331.

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Lin, Freddie. Edge Polynomial Fractal Compression Algorithm for High Quality Video Transmission. Final report. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/761345.

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