Auswahl der wissenschaftlichen Literatur zum Thema „Low-bitrate“
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Zeitschriftenartikel zum Thema "Low-bitrate"
Rudzki, Tomasz, Ignacio Gomez-Lanzaco, Jessica Stubbs, Jan Skoglund, Damian T. Murphy und Gavin Kearney. „Auditory Localization in Low-Bitrate Compressed Ambisonic Scenes“. Applied Sciences 9, Nr. 13 (28.06.2019): 2618. http://dx.doi.org/10.3390/app9132618.
Der volle Inhalt der Quellevan Schalkwyk, J. J. D. „Low bitrate video coding with depth compensation“. IEE Proceedings - Vision, Image, and Signal Processing 141, Nr. 3 (1994): 149. http://dx.doi.org/10.1049/ip-vis:19941056.
Der volle Inhalt der QuelleWu, Dapeng, Linfeng Cui, Tong Tang und Ruyan Wang. „Adaptive Bandwidth Prediction and Smoothing Glitches in Low-Latency Live Streaming“. Security and Communication Networks 2022 (09.05.2022): 1–13. http://dx.doi.org/10.1155/2022/4992957.
Der volle Inhalt der QuelleKim, Hyung Yong, Ji Won Yoon, Won Ik Cho und 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.
Der volle Inhalt der QuelleWinkler, S., und C. Faller. „Perceived Audiovisual Quality of Low-Bitrate Multimedia Content“. IEEE Transactions on Multimedia 8, Nr. 5 (Oktober 2006): 973–80. http://dx.doi.org/10.1109/tmm.2006.879871.
Der volle Inhalt der QuelleGeorgis, Georgios, George Lentaris und Dionysios Reisis. „Reduced Complexity Superresolution for Low-Bitrate Video Compression“. IEEE Transactions on Circuits and Systems for Video Technology 26, Nr. 2 (Februar 2016): 332–45. http://dx.doi.org/10.1109/tcsvt.2015.2389431.
Der volle Inhalt der QuelleChandrasekhar, Vijay, Gabriel Takacs, David M. Chen, Sam S. Tsai, Yuriy Reznik, Radek Grzeszczuk und Bernd Girod. „Compressed Histogram of Gradients: A Low-Bitrate Descriptor“. International Journal of Computer Vision 96, Nr. 3 (15.05.2011): 384–99. http://dx.doi.org/10.1007/s11263-011-0453-z.
Der volle Inhalt der QuelleEbrahimi, T., E. Reusens und Wei Li. „New trends in very low bitrate video coding“. Proceedings of the IEEE 83, Nr. 6 (Juni 1995): 877–91. http://dx.doi.org/10.1109/5.387090.
Der volle Inhalt der QuelleDuan, Juzheng, Min Zhang, Jing Wang, Shuai Han, Xun Chen und Xiaolong Yang. „VCC-DASH: A Video Content Complexity-Aware DASH Bitrate Adaptation Strategy“. Electronics 9, Nr. 2 (31.01.2020): 230. http://dx.doi.org/10.3390/electronics9020230.
Der volle Inhalt der QuelleLiang, Xiaoyun, Zhaohong Li, Zhonghao Li und Zhenzhen Zhang. „Fake Bitrate Detection of HEVC Videos Based on Prediction Process“. Symmetry 11, Nr. 7 (15.07.2019): 918. http://dx.doi.org/10.3390/sym11070918.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleLopes, 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.
Der volle Inhalt der QuelleNilsson, Jonas, und 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.
Der volle Inhalt der QuelleWavelet-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.
Der volle Inhalt der QuelleSuryadevara, Rajesh. „Visual perception based bit allocation for low bitrate video coding“. Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40230.
Der volle Inhalt der QuelleIncludes 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.
Der volle Inhalt der QuelleJohansson, 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.
Der volle Inhalt der QuelleThe 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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleHany, Hanafy Mahmoud Said. „Low bitrate multi-view video coding based on H.264/AVC“. Thesis, Staffordshire University, 2015. http://eprints.staffs.ac.uk/2206/.
Der volle Inhalt der QuelleBücher zum Thema "Low-bitrate"
Li, Haibo. Low bitrate image sequence coding. Linköping: Dept. of Electrical Engineering, Linköping University, 1993.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Low-bitrate"
Furman, D., und 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.
Der volle Inhalt der QuelleLech, 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.
Der volle Inhalt der QuelleBartkowiak, Maciej, und 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.
Der volle Inhalt der QuelleGokhale, Vineet, Jayakrishnan Nair, Subhasis Chaudhuri und 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.
Der volle Inhalt der QuelleZhao, Xin, Xinfeng Zhang, Li Zhang, Siwei Ma und 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.
Der volle Inhalt der QuelleChen, Chunxi, und 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.
Der volle Inhalt der QuelleStojkovikj, Ana, Dejan Gjorgjevikj und 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.
Der volle Inhalt der QuelleMitrea, Mihai, Françoise Prêteux und 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.
Der volle Inhalt der QuelleChen, Si, Yuan Zhang, Huan Peng und 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.
Der volle Inhalt der QuelleCao, Li, Xiaoyun Zhang und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "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.
Der volle Inhalt der QuelleSu, Yu-Chuan, Tzu-Hsuan Chiu, Yan-Ying Chen, Chun-Yen Yeh und 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.
Der volle Inhalt der QuelleLincoln, Luke, und 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.
Der volle Inhalt der QuelleRoger Cheuk, K. W., S. H. Gary Chan, K. W. Alice Mong, C. M. Martin Lee und 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.
Der volle Inhalt der QuelleJiang, Heng, Yu Liu und 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.
Der volle Inhalt der QuelleWinkler, Stefan, und Christof Faller. „Audiovisual quality evaluation of low-bitrate video“. In Electronic Imaging 2005, herausgegeben von Bernice E. Rogowitz, Thrasyvoulos N. Pappas und Scott J. Daly. SPIE, 2005. http://dx.doi.org/10.1117/12.596852.
Der volle Inhalt der QuelleVaillancourt, Tommy, Vladimir Malenovsky, Redwan Salami, Zexin Liu, Lei Miao, Jon Gibbs und 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.
Der volle Inhalt der QuelleAklouf, Mourad, Marc Leny, Frederic Dufaux und 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.
Der volle Inhalt der QuelleDaskalakis, Spyridon Nektarios, George Goussetis und 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.
Der volle Inhalt der QuelleNam, Hyeong-Min, Byoung-Kyu Dan, Hye-Soo Kim, Jae-Yun Jeong und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Low-bitrate"
Bormann, C. Providing Integrated Services over Low-bitrate Links. RFC Editor, September 1999. http://dx.doi.org/10.17487/rfc2689.
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