Relevant bibliographies by topics / Compressao : Video

Contents

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

Academic literature on the topic 'Compressao : Video'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 April 2022

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Journal articles on the topic "Compressao : Video"

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Laghari, Asif Ali, Hui He, Shahid Karim, Himat Ali Shah, and Nabin Kumar Karn. "Quality of Experience Assessment of Video Quality in Social Clouds." Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8313942.

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Video sharing on social clouds is popular among the users around the world. High-Definition (HD) videos have big file size so the storing in cloud storage and streaming of videos with high quality from cloud to the client are a big problem for service providers. Social clouds compress the videos to save storage and stream over slow networks to provide quality of service (QoS). Compression of video decreases the quality compared to original video and parameters are changed during the online play as well as after download. Degradation of video quality due to compression decreases the quality of
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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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Yang, Yixin, Zhiqang Xiang, and Jianbo Li. "Research on Low Frame Rate Video Compression Algorithm in the Context of New Media." Security and Communication Networks 2021 (September 27, 2021): 1–10. http://dx.doi.org/10.1155/2021/7494750.

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When using the current method to compress the low frame rate video animation video, there is no frame rate compensation for the video image, which cannot eliminate the artifacts generated in the compression process, resulting in low definition, poor quality, and low compression efficiency of the compressed low frame rate video animation video. In the context of new media, the linear function model is introduced to study the frame rate video animation video compression algorithm. In this paper, an adaptive detachable convolutional network is used to estimate the offset of low frame rate video a
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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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Reljin, Irini, and Branimir Reljin. "Fractal and multifractal analyses of compressed video sequences." Facta universitatis - series: Electronics and Energetics 16, no. 3 (2003): 401–14. http://dx.doi.org/10.2298/fuee0303401r.

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The paper considers compressed video streams from the fractal and multifractal (MF) points of view. Video traces in H.263 and MPEG-4 formats generated at the Technical University Berlin and publicly available, were investigated. It was shown that all compressed videos exhibit fractal (long-range dependency) nature and that higher compression ratios provoke more variability of the encoded video stream. This conclusion is approved from the MF spectra of frame size video traces. By analyzing individual frames and their MF spectra the additive nature is approved.
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Luo, Lei, Rong Xin Jiang, Xiang Tian, and Yao Wu Chen. "Reference Viewpoints Selection for Multi-View Video Plus Depth Coding Based on the Network Bandwidth Constraint." Applied Mechanics and Materials 303-306 (February 2013): 2134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2134.

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In multi-view video plus depth (MVD) coding based free viewpoint video applications, a few reference viewpoints’ texture and depth videos should be compressed and transmitted at the server side. At the terminal side, the display view videos could be the decoded reference view videos or the virtual viewpoints’ videos which are synthesized by DIBR technology. The entire video quality of all display views are decided by the number of reference viewpoints and the compression distortion of each reference viewpoint’s texture and depth videos. This paper studies the impact of the reference viewpoints
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Li, Yang, Guangcan Liu, Yubao Sun, Qingshan Liu, and Shengyong Chen. "3D Tensor Auto-encoder with Application to Video Compression." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 2 (2021): 1–18. http://dx.doi.org/10.1145/3431768.

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Auto-encoder has been widely used to compress high-dimensional data such as the images and videos. However, the traditional auto-encoder network needs to store a large number of parameters. Namely, when the input data is of dimension n , the number of parameters in an auto-encoder is in general O ( n ). In this article, we introduce a network structure called 3D Tensor Auto-Encoder (3DTAE). Unlike the traditional auto-encoder, in which a video is represented as a vector, our 3DTAE considers videos as 3D tensors to directly pass tensor objects through the network. The weights of each layer are
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Amirpour, Hadi, Antonio M. G. Pinheiro, Manuela Pereira, and Mohammad Ghanbari. "Performance comparison of video encoders in light field image compression." Electronic Imaging 2021, no. 18 (2021): 60–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.18.3dia-060.

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Efficient compression plays a significant role in Light Field imaging technology because of the huge amount of data needed for their representation. Video encoders using different strategies are commonly used for Light Field image compression. In this paper, different video encoder implementations including HM, VTM, x265, xvc, VP9, and AV1 are analysed and compared in terms of coding efficiency, and encoder/decoder time-complexity. Light field images are compressed as pseudo-videos.
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Gill, Harsimranjit Singh, Tarandip Singh, Baldeep Kaur, Gurjot Singh Gaba, Mehedi Masud, and Mohammed Baz. "A Metaheuristic Approach to Secure Multimedia Big Data for IoT-Based Smart City Applications." Wireless Communications and Mobile Computing 2021 (October 4, 2021): 1–10. http://dx.doi.org/10.1155/2021/7147940.

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Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a serious concern to the data confidentiality and availability. In this paper, a cryptographic algorithm, Advanced Encryption Standard, is used to conceal the information from malicious intruders. However, in order to utilize fewer system resources
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Liu, Changming, Xiaojing Ma, Sixing Cao, Jiayun Fu, and Bin B. Zhu. "Privacy-preserving Motion Detection for HEVC-compressed Surveillance Video." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 1 (2022): 1–27. http://dx.doi.org/10.1145/3472669.

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In the cloud era, a large amount of data is uploaded to and processed by public clouds. The risk of privacy leakage has become a major concern for cloud users. Cloud-based video surveillance requires motion detection, which may reveal the privacy of people in a surveillance video. Privacy-preserving video surveillance allows motion detection while protecting privacy. The existing scheme [ 25 ], designed to detect motion on encrypted and H.264-compressed surveillance videos, does not work well on more advanced video compression schemes such as HEVC. In this article, we propose the first motion
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Dissertations / Theses on the topic "Compressao : Video"

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Porto, Marcelo. "Arquiteturas de alto desempenho e baixo custo em hardware para a estimação de movimento em vídeos digitais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/13117.

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A evolução das Tecnologias de Informação e Comunicação (TIC) favoreceu o crescimento do uso de variados meios na comunicação. Entre diversos meios, o vídeo em particular, necessita de uma grande banda para ser transmitido, ou de um grande espaço para ser armazenado. Uma análise dos diversos sinais de uma comunicação multimídia mostra, entretanto, que existe uma grande redundância de informação. Utilizando técnicas de compressão é possível reduzir de uma a duas ordens de grandeza a quantidade de informação veiculada, mantendo uma qualidade satisfatória. Uma das formas de compressão busca a rela
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Azevedo, Filho Arnaldo Pereira de. "MoCHA : arquitetura dedicada para a compensação de movimento em decodificadores de vídeo de alta definição, seguindo o padrão H.264." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/7440.

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O padrão H.264 foi desenvolvido pelo JVT, que foi formado a partir de uma união entre os especialistas do VCEG da ITU-T e do MPEG da ISO/IEC. O padrão H.264 atingiu seu objetivo de alcançar as mais elevadas taxas de processamento dentre todos os padrões existentes, mas à custa de um grande aumento na complexidade computacional. Este aumento de complexidade impede, pelo menos na tecnologia atual, a utilização de codecs H.264 implementados em software, quando se deseja a decodi cação de vídeos de alta de nição em tempo real. Essa dissertação propõe uma solução arquitetural de hardware, denominad
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Porto, Roger Endrigo Carvalho. "Desenvolvimento arquitetural para estimação de movimento de blocos de tamanhos variáveis segundo padrão H.264/AVC de compressão de vídeo digital." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/17348.

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Apesar de as capacidades de transmissão e de armazenamento dos dispositivos continuarem crescendo, a compressão ainda é essencial em aplicações que trabalham com vídeo. Com a compressão reduz-se significativamente a quantidade de bits necessários para se representar uma seqüência de vídeo. Dentre os padrões de compressão de vídeo digital, o mais novo é o H.264/AVC. Este padrão alcança as mais elevadas taxas de compressão se comparado com os padrões anteriores mas, por outro lado, possui uma elevada complexidade computacional. A complexidade computacional elevada dificulta o desenvolvimento em
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Ramos, Fabio Luis Livi. "Arquitetura para o algoritmo CAVLC de codificação de entropia segundo o padrão H.264/AVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/31120.

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A codificação de vídeo digital depende de uma série de etapas para ser alcançada a compressão de dados necessária para, então, o vídeo ser enviado ou armazenado em um meio. Existe uma série de padrões que se propõe a isso e dentre eles, o que apresenta o melhor desempenho em termos de compressão de dados e qualidade de vídeo até o presente momento é o H.264/AVC. Considerando então o padrão H.264/AVC, uma das etapas do seu processamento é a codificação de entropia, sendo que um dos algoritmos usados para esse fim é o CAVLC (Context-Based Adaptive Variable Length Coding). Esta técnica faz uso de
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Zandonai, Diogo. "Uma Arquitetura de Hardware para estimação de movimento aplicada à compressão de vídeo digital." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2003. http://hdl.handle.net/10183/3418.

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A tarefa de estimação de movimento, utilizada na compressão de vídeo digital, é normalmente realizada em hardware por processador dedicado, uma vez que demanda expressiva capacidade computacional. Este trabalho propõe e desenvolve uma arquitetura de hardware para realizar o cálculo dos vetores de movimento no contexto de compressão de vídeo digital. Essa arquitetura para estimação de movimento é composta pelos blocos: interface de entrada e saída (E/S), matriz de processamento com 64 elementos de processamento, unidade de comparação e unidade de controle. A arquitetura foi descrita em linguage
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Depra, Dieison Antonello. "Algoritmos e desenvolvimento de arquitetura para codificação binária adaptativa ao contexto para o decodificador H.264/AVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/26505.

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As inovações tecnológicas têm propiciado transformações nas formas de interação e, principalmente, na comunicação entre as pessoas. Os avanços nas áreas de tecnologia da informação e comunicações abriram novos horizontes para a criação de demandas até então não existentes. Nesse contexto, a utilização de vídeo digital de alta definição para aplicações de tempo real ganha ênfase. Entretanto, os desafios envolvidos na manipulação da quantidade de informações necessárias à sua representação, fomentam pesquisas na indústria e na academia para minimizar os impactos sobre a largura de banda necessár
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Thiele, Cristiano. "Desenvolvimento da arquitetura dos codificadores de entropia adaptativos CAVLC e CABAC do padrão H.264/AVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/85463.

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Um codificador de entropia é responsável pela representação simbólica de dados de forma a representá-los com um menor número de bits. O H.264/AVC possui três codificadores de entropia: o Exponencial Golomb, o CAVLC que é o codificador de menor complexidade porém com um throughput maior de dados e o CABAC, com maior complexidade e com uma maior capacidade de compressão. A complexidade do codificador de entropia e a dependência dos dados sequenciais no bitstream original são os principais desafios para atender os requisitos de desempenho para compressão em tempo real. Por isso o desenvolvimento
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Diniz, Claudio Machado. "Arquitetura de hardware dedicada para a predição intra-quadro em codificadores do padrão H.264/AVC de compressão de vídeo." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/17801.

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A compressão de vídeo é essencial para aplicações de vídeo digital. Devido ao elevado volume de informações contidas em um vídeo digital, um processo de compressão é aplicado antes de ser armazenado ou transmitido. O padrão H.264/AVC é considerado o estado-da-arte em termos de compressão de vídeo, introduzindo um conjunto de ferramentas inovadoras em relação a padrões anteriores. Tais ferramentas possibilitam um ganho significativo em compressão, ao preço de um aumento na complexidade. A predição intra-quadro é uma das ferramentas inovadoras do padrão H.264/AVC, responsável por reduzir a redun
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Corrêa, Guilherme Ribeiro. "Estudo e desenvolvimento de heurísticas e arquiteturas de hardware para decisão rápida do modo de codificação de bloco para o padrão H.264/AVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/27654.

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O processo de compressão de vídeo é essencial para aplicações que utilizam vídeos digitais. O alto volume de informações contidas em um vídeo digital requer que um processo de compressão seja aplicado antes de este ser armazenado ou transmitido. O padrão H.264/AVC, estado-da-arte em termos de compressão de vídeo, introduziu um conjunto de ferramentas inéditas em relação a outros padrões, as quais possibilitam um ganho significativo em eficiência de compressão, diminuindo a taxa de bits sem perda na qualidade da imagem. Contudo, o preço deste ganho reside em um significativo aumento na complexi
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Silva, Leandro Max de Lima. "Implementação física de arquiteturas de hardware para a decodificação de vídeo digital segundo o padrão H.264/AVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/27655.

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Recentemente, o Brasil adotou o padrão SBTVD (Sistema Brasileiro de TV Digital) para transmissão de TV digital. Este utiliza o CODEC (codificador e decodificador) de vídeo H.264/AVC, que é considerado o estado-da-arte no contexto de compressão de vídeo digital. Esta transição para o SBTVD requer o desenvolvimento de tecnologia para transmissão, recepção e decodificação de sinais, assim, o projeto Rede H.264 SBTVD foi iniciado e tem como um dos objetivos a produção de componentes de hardware para construção de um set-top box SoC (System on Chip) compatível com o SBTVD. No sentido de produzir IP
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Books on the topic "Compressao : Video"

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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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Video compression systems. Institution of Engineering and Technology, 2009.

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

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Video compression demystified. McGraw-Hill, 2001.

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Video compression for multimedia. AP Professional, 1995.

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

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

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Book chapters on the topic "Compressao : Video"

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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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Freedman, Immanuel. "Video Compression." In Handbook of Computer Networks. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118256053.ch15.

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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. "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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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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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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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, 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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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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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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Conference papers on the topic "Compressao : Video"

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Antsiferova, Anastasia, Alexander Yakovenko, Nickolay Safonov, Dmitriy Kulikov, Alexander Gushin, and Dmitriy Vatolin. "Applying Objective Quality Metrics to Video-Codec Comparisons: Choosing the Best Metric for Subjective Quality Estimation." In 31th International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/graphicon-2021-3027-199-210.

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Quality assessment is essential to creating and comparing video compression algorithms. Despite the development of many new quality-assessment methods, well-known and generally accepted codecs comparisons mainly employ classical methods such as PSNR, SSIM, and VMAF. These methods have different variations: temporal pooling techniques, color-component summations and versions. In this paper, we present comparison results for generally accepted video-quality metrics to determine which ones are most relevant to video codecs comparisons. For evaluation we used videos compressed by codecs of differe
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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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Звездакова, Анастасия, Anastasia Zvezdakova, Сергей Звездаков, et al. "Hacking VMAF with Video Color and Contrast Distortion." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-53-57.

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Video quality measurement takes an important role in many applications. Full-reference quality metrics which are usually used in video codecs comparisons are expected to reflect any changes in videos. In this article, we consider different color corrections of compressed videos which increase the values of full-reference metric VMAF and almost don’t decrease other widely-used metric SSIM. The proposed video contrast enhancement approach shows the metric in-applicability in some cases for video codecs comparisons, as it may be used for cheating in the comparisons via tuning to improve this metr
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Звездакова, Анастасия, Anastasia Zvezdakova, Дмитрий Куликов, et al. "Barriers Towards No-reference Metrics Application to Compressed Video Quality Analysis: on the Example of No-reference Metric NIQE." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-22-27.

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This paper analyses the application of no-reference metric NIQE to the task of video-codec comparison. A number of issues in the metric behavior on videos was detected and described. The metric has outlying scores on black and solid-colored frames. The proposed averaging technique for metric quality scores helped to improve the results in some cases. Also, NIQE has low-quality scores for videos with detailed textures and higher scores for videos of lower bit rates due to the blurring of these textures after compression. Although NIQE showed natural results for many tested videos, it is not uni
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Xiong, Tao, John Rattray, Jie Zhang, et al. "Spatiotemporal compressed sensing for video compression." In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2017. http://dx.doi.org/10.1109/mwscas.2017.8052917.

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Samelak, Jarosław, Adrian Dziembowski, Dawid Mieloch, Marek Domański, and Maciej Wawrzyniak. "Efficient Immersive Video Compression using Screen Content 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.2021.3002.22.

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The paper deals with efficient compression of immersive video representations for the synthesis of video relatedto virtual viewports, i.e., to selected virtual viewer positions and selected virtual directions of watching. Thegoal is to obtain possibly high quality of virtual video obtained from compressed representations of immersivevideo acquired from multiple omnidirectional and planar (perspective) cameras, or from computer animation. Inthe paper, we describe a solution based on HEVC (High Efficiency Video Coding) compression and the recentlyproposed MPEG Test Model for Immersive Video. The
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Sinha, Abhishek Kumar, and Deepak Mishra. "Deep Video Compression using Compressed P-Frame Resampling." In 2021 National Conference on Communications (NCC). IEEE, 2021. http://dx.doi.org/10.1109/ncc52529.2021.9530011.

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Da Silva, Renato, Luiz Brito, Marcelo Albertini, Marcelo Do Nascimento, and André Backes. "Using CNNs for Quality Assessment of No-Reference and Full-Reference Compressed-Video Frames." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wvc.2020.13484.

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For videos to be streamed, they have to be coded and sent to users as signals that are decoded back to be reproduced. This coding-decoding process may result in distortion that can bring differences in the quality perception of the content, consequently, influencing user experience. The approach proposed by Bosse et al. [1] suggests an Image Quality Assessment (IQA) method using an automated process. They use image datasets prelabeled with quality scores to perform a Convolutional Neural Network (CNN) training. Then, based on the CNN models, they are able to perform predictions of image qualit
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Zagar, Martin, Alan Mutka, and Hung-Cheng Tai. "Novel motion detection algorithm of 3D medical data for diagnosis purposes." In Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100909.

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The encoding and streaming of medical video imaging for diagnosis purposes is an example of high computational capacity applications. Motion detection presents one of the pillars in encoding such videos and a basis for compression where just motion vectors are encoding instead of the complete frame. We propose a new algorithm for motion detection of 3D medical videos where the novel approach is based on the fact that medical videos don’t have sudden and large motions. We defined an adaptive medical search algorithm that starts with presumptions that the motion is coherent for acquired medical
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Reports on the topic "Compressao : Video"

1

Kobla, Vikrant, David Doermann, and Azriel Rosenfeld. Compressed Video Segmentation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada458852.

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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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Berc, L., W. Fenner, R. Frederick, S. McCanne, and P. Stewart. RTP Payload Format for JPEG-compressed Video. RFC Editor, 1998. http://dx.doi.org/10.17487/rfc2435.

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Berc, L., W. Fenner, R. Frederick, and S. McCanne. RTP Payload Format for JPEG-compressed Video. RFC Editor, 1996. http://dx.doi.org/10.17487/rfc2035.

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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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