Letteratura scientifica selezionata sul tema "Low-bitrate"
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Articoli di riviste sul tema "Low-bitrate":
Rudzki, Tomasz, Ignacio Gomez-Lanzaco, Jessica Stubbs, Jan Skoglund, Damian T. Murphy e Gavin Kearney. "Auditory Localization in Low-Bitrate Compressed Ambisonic Scenes". Applied Sciences 9, n. 13 (28 giugno 2019): 2618. http://dx.doi.org/10.3390/app9132618.
van Schalkwyk, J. J. D. "Low bitrate video coding with depth compensation". IEE Proceedings - Vision, Image, and Signal Processing 141, n. 3 (1994): 149. http://dx.doi.org/10.1049/ip-vis:19941056.
Wu, Dapeng, Linfeng Cui, Tong Tang e Ruyan Wang. "Adaptive Bandwidth Prediction and Smoothing Glitches in Low-Latency Live Streaming". Security and Communication Networks 2022 (9 maggio 2022): 1–13. http://dx.doi.org/10.1155/2022/4992957.
Kim, Hyung Yong, Ji Won Yoon, Won Ik Cho e Nam Soo Kim. "Neurally Optimized Decoder for Low Bitrate Speech Codec". IEEE Signal Processing Letters 29 (2022): 244–48. http://dx.doi.org/10.1109/lsp.2021.3132557.
Winkler, S., e C. Faller. "Perceived Audiovisual Quality of Low-Bitrate Multimedia Content". IEEE Transactions on Multimedia 8, n. 5 (ottobre 2006): 973–80. http://dx.doi.org/10.1109/tmm.2006.879871.
Georgis, Georgios, George Lentaris e Dionysios Reisis. "Reduced Complexity Superresolution for Low-Bitrate Video Compression". IEEE Transactions on Circuits and Systems for Video Technology 26, n. 2 (febbraio 2016): 332–45. http://dx.doi.org/10.1109/tcsvt.2015.2389431.
Chandrasekhar, Vijay, Gabriel Takacs, David M. Chen, Sam S. Tsai, Yuriy Reznik, Radek Grzeszczuk e Bernd Girod. "Compressed Histogram of Gradients: A Low-Bitrate Descriptor". International Journal of Computer Vision 96, n. 3 (15 maggio 2011): 384–99. http://dx.doi.org/10.1007/s11263-011-0453-z.
Ebrahimi, T., E. Reusens e Wei Li. "New trends in very low bitrate video coding". Proceedings of the IEEE 83, n. 6 (giugno 1995): 877–91. http://dx.doi.org/10.1109/5.387090.
Duan, Juzheng, Min Zhang, Jing Wang, Shuai Han, Xun Chen e Xiaolong Yang. "VCC-DASH: A Video Content Complexity-Aware DASH Bitrate Adaptation Strategy". Electronics 9, n. 2 (31 gennaio 2020): 230. http://dx.doi.org/10.3390/electronics9020230.
Liang, Xiaoyun, Zhaohong Li, Zhonghao Li e Zhenzhen Zhang. "Fake Bitrate Detection of HEVC Videos Based on Prediction Process". Symmetry 11, n. 7 (15 luglio 2019): 918. http://dx.doi.org/10.3390/sym11070918.
Tesi sul tema "Low-bitrate":
Davison, Brian C. (Brian Candler). "Image enhancements for low-bitrate videocoding". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/41374.
Lopes, Fernando Jose Pimentel. "Motion estimation for very low bitrate video coding". Thesis, University of Essex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395877.
Nilsson, Jonas, e Jesper Nilsson. "Low Bitrate Video and Audio Codecs for Internet Communication". Thesis, Blekinge Tekniska Högskola, Institutionen för telekommunikation och signalbehandling, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3969.
Wavelet-baserad bild/video kompression.
Jonas Nilsson, Jesper Nilsson Lovägen 13, 37250 Kallinge tel: 0709708617
Söderström, Ulrik. "Very Low Bitrate Video Communication : A Principal Component Analysis Approach". Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1808.
Suryadevara, Rajesh. "Visual perception based bit allocation for low bitrate video coding". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40230.
Includes bibliographical references (leaves 45-47).
by Rajesh Suryadevara.
M.S.
Söderström, Ulrik. "Very low bitrate video communication : a principal component analysis approach /". Umeå : Department of Applied Physics and Electronics, Umeå University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1808.
Johansson, Andreas. "Bitefficient Coding Methods for Low Bitrate MPEG-1/MPEG-2 Encoders". Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-744.
The packing and coding of digital video is a part of science where much innovation has taken place during the last few decades. The MPEG standards of video encoding are some of the most well-known and used video coding standards today. Since MPEG defines exact requirements for the decoder, but not the encoder, encoders can be made in many different ways and levels of complexity, as long as they produce legal MPEG streams that can be viewed on any MPEG-conformant decoder. This thesis will examine the possible performance of MPEG, in particular MPEG-1/MPEG-2 full TV resolution (720*576), for coding video at bitrates significantly lower than the 2-15 Mb/s MPEG-2 originally was designed for. For this purpose, encoding methods previously proposed by various researchers are presented. Furthermore a few new algorithms, which can be used for MPEG coding in general, but was constructed with a low-bitrate encoder in mind, were developed. Finally objective video quality benchmarks were conducted and the results evaluated.
Söderström, Ulrik. "Very low bitrate facial video coding : based on principal component analysis". Licentiate thesis, Umeå University, Applied Physics and Electronics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-895.
This thesis introduces a coding scheme for very low bitrate video coding through the aid of principal component analysis. Principal information of the facial mimic for a person can be extracted and stored in an Eigenspace. Entire video frames of this persons face can then be compressed with the Eigenspace to only a few projection coefficients. Principal component video coding encodes entire frames at once and increased frame size does not increase the necessary bitrate for encoding, as standard coding schemes do. This enables video communication with high frame rate, spatial resolution and visual quality at very low bitrates. No standard video coding technique provides these four features at the same time.
Theoretical bounds for using principal components to encode facial video sequences are presented. Two different theoretical bounds are derived. One that describes the minimal distortion when a certain number of Eigenimages are used and one that describes the minimum distortion when a minimum number of bits are used.
We investigate how the reconstruction quality for the coding scheme is affected when the Eigenspace, mean image and coefficients are compressed to enable efficient transmission. The Eigenspace and mean image are compressed through JPEG-compression while the while the coefficients are quantized. We show that high compression ratios can be used almost without any decrease in reconstruction quality for the coding scheme.
Different ways of re-using the Eigenspace for a person extracted from one video sequence to encode other video sequences are examined. The most important factor is the positioning of the facial features in the video frames.
Through a user test we find that it is extremely important to consider secondary workloads and how users make use of video when experimental setups are designed.
Söderström, Ulrik. "Very low bitrate facial video coding : based on principal component analysis /". Umeå : Department of Applied Physics and Electronics, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-895.
Hany, Hanafy Mahmoud Said. "Low bitrate multi-view video coding based on H.264/AVC". Thesis, Staffordshire University, 2015. http://eprints.staffs.ac.uk/2206/.
Libri sul tema "Low-bitrate":
Li, Haibo. Low bitrate image sequence coding. Linköping: Dept. of Electrical Engineering, Linköping University, 1993.
Capitoli di libri sul tema "Low-bitrate":
Furman, D., e M. Porat. "On Content-Based Very Low Bitrate Video Coding". In Visual Content Processing and Representation, 260–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39798-4_33.
Lech, Piotr. "A Low Bitrate Video Transmission for IP Networks". In Advances in Intelligent Systems and Computing, 301–7. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10662-5_37.
Bartkowiak, Maciej, e Marek Domański. "Efficient representation of chrominance for very low bitrate coding". In Multimedia Applications, Services and Techniques — ECMAST'98, 415–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64594-2_112.
Gokhale, Vineet, Jayakrishnan Nair, Subhasis Chaudhuri e Suhas Kakade. "Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication". In Haptics: Science, Technology, and Applications, 660–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93399-3_56.
Zhao, Xin, Xinfeng Zhang, Li Zhang, Siwei Ma e Wen Gao. "Low-Complexity and Sampling-Aided Multi-view Video Coding at Low Bitrate". In Advances in Multimedia Information Processing - PCM 2010, 319–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15696-0_30.
Chen, Chunxi, e Zhenrong Yang. "MPEG4 Compatible Video Browsing and Retrieval over Low Bitrate Channel". In Advances in Multimedia Information Processing — PCM 2002, 1221–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_151.
Stojkovikj, Ana, Dejan Gjorgjevikj e Zoran Ivanovski. "Machine Learning Approach to Blocking Effect Reduction in Low Bitrate Video". In ICT Innovations 2015, 173–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25733-4_18.
Mitrea, Mihai, Françoise Prêteux e Mihai Petrescu. "Very Low Bitrate Video: A Statistical Analysis in the DCT Domain". In Visual Content Processing and Representation, 99–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738695_14.
Chen, Si, Yuan Zhang, Huan Peng e Jinyao Yan. "A Joint Bitrate and Buffer Control Scheme for Low-Latency Live Streaming". In Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 369–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36204-1_31.
Cao, Li, Xiaoyun Zhang e Zhiyong Gao. "An Efficient Optimization of Real-Time AVS+ Encoder in Low Bitrate Condition". In Communications in Computer and Information Science, 265–75. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4211-9_26.
Atti di convegni sul tema "Low-bitrate":
Karacali, Bengi. "Network assessment for low bitrate video". In 2010 IEEE Sarnoff Symposium. IEEE, 2010. http://dx.doi.org/10.1109/sarnof.2010.5469733.
Su, Yu-Chuan, Tzu-Hsuan Chiu, Yan-Ying Chen, Chun-Yen Yeh e Winston H. Hsu. "Enabling low bitrate mobile visual recognition". In the 21st ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2502081.2502110.
Lincoln, Luke, e Ruben Gonzalez. "Plane-Tree Low-Bitrate Mesh Compression". In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371295.
Roger Cheuk, K. W., S. H. Gary Chan, K. W. Alice Mong, C. M. Martin Lee e S. S. Shirley Sy. "DEVELOPING PDA FOR LOW-BITRATE LOW-DELAY VIDEO DELIVERY". In Proceedings of the Fifth IFIP-TC6 International Conference. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791146_0041.
Jiang, Heng, Yu Liu e Yumei Wang. "Time-Scalable Low-Latency Video Bitrate Adaptation". In 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2021. http://dx.doi.org/10.1109/icmew53276.2021.9455998.
Winkler, Stefan, e Christof Faller. "Audiovisual quality evaluation of low-bitrate video". In Electronic Imaging 2005, a cura di Bernice E. Rogowitz, Thrasyvoulos N. Pappas e Scott J. Daly. SPIE, 2005. http://dx.doi.org/10.1117/12.596852.
Vaillancourt, Tommy, Vladimir Malenovsky, Redwan Salami, Zexin Liu, Lei Miao, Jon Gibbs e Milan Jelinek. "Advances in low bitrate time-frequency coding". In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7179106.
Aklouf, Mourad, Marc Leny, Frederic Dufaux e Michel Kieffer. "Low Complexity Versatile Video Coding (VVC) for Low Bitrate Applications". In 2019 8th European Workshop on Visual Information Processing (EUVIP). IEEE, 2019. http://dx.doi.org/10.1109/euvip47703.2019.8946261.
Daskalakis, Spyridon Nektarios, George Goussetis e Apostolos Georgiadis. "Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing". In 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC). IEEE, 2018. http://dx.doi.org/10.23919/ursi-at-rasc.2018.8471572.
Nam, Hyeong-Min, Byoung-Kyu Dan, Hye-Soo Kim, Jae-Yun Jeong e Sung-Jea Ko. "Low Complexity H.264 Transcoder for Bitrate Reduction". In 2006 International Symposium on Communications and Information Technologies. IEEE, 2006. http://dx.doi.org/10.1109/iscit.2006.340020.
Rapporti di organizzazioni sul tema "Low-bitrate":
Bormann, C. Providing Integrated Services over Low-bitrate Links. RFC Editor, settembre 1999. http://dx.doi.org/10.17487/rfc2689.