1,135 resources related to Entropy coding
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ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.
2020 IEEE International Symposium on Information Theory (ISIT)
Information theory, coding theory, communication theory, signal processing, and foundations of machine learning
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
IEEE Transactions on Communications, 2006
IEEE Transactions on Communications, 2006
IEEE Transactions on Communications, 2006
IEEE P1857.2/D3, May 2013, 2012
This standard defines a set of tools to support specific audio coding functions including general audio coding and lossless audio coding. The tool set defined in this standard, in combination provides regular high quality and efficient coding tool sets for compression, decompression, processing, and representing of audio data to save bandwidth for transmission, to save space for storage, to speed ...
P1857/D1+1, July 2012, 2012
Multimedia data has become the majority of data flooding the Internet. The standard specifies the video compression, decompression and packaging tools and mechanism to support the transmission and store of the multimedia data over Internet in a highly efficient way under constraints that include limited complexity and bandwidth. This part of the standard defines a set of tools for high ...
An IEEE IPC Special Session with X. Chen from Nokia Bell Labs
Inspiring Brilliance: The Impact of Maxwell's Demon on Information Theory and Computing
The Shannon Centennial: 1100100 Years of Bits
2011 IEEE Richard W. Hamming Medal - Toby Berger
Annie Cannons presentation - Global Humanitarian Technology Conference, GHTC 2017
G. David Forney, Jr. accepts the IEEE Medal of Honor - Honors Ceremony 2016
Cross Entropy Benchmarking & Quantum Supremacy - Sergio Boixo - ICRC San Mateo, 2019
Shannon to Machine Learning: ML & DL for 5G - Erik Stauffer - B5GS 2019
PANEL - 5G New Radio: Waveforms, Numerology, Coding: Brooklyn 5G Summit 2017
Martin Vetterli accepts the IEEE Jack S. Kilby Signal Processing Medal - Honors Ceremony 2017
2013 IEEE Richard W. Hamming Medal
2013 IEEE Medal for Innovations in Healthcare Technology
2013 IEEE Jack S. Kilby Medal
Brain Panelist - Jack Gallant: 2016 Technology Time Machine
2015 IEEE Honors: IEEE Richard W. Hamming Medal - Imre Csiszar
Randomness: Make It or Use It - Muriel Médard, 5G World Forum 2019
IEEE Alexander Graham Bell - Nambi Seshadri - 2018 IEEE Honors Ceremony
Kees Immink, 2017 IEEE Medal of Honor
This standard defines a set of tools to support specific audio coding functions including general audio coding and lossless audio coding. The tool set defined in this standard, in combination provides regular high quality and efficient coding tool sets for compression, decompression, processing, and representing of audio data to save bandwidth for transmission, to save space for storage, to speed up indexing and multimedia search, and to enhance performance when using mixed media for virtual reality and other applications that demand high bandwidth. The target applications and services include but not limited audio transmission, audio recording, internet streaming, and other video/audio enabled services and applications.
Multimedia data has become the majority of data flooding the Internet. The standard specifies the video compression, decompression and packaging tools and mechanism to support the transmission and store of the multimedia data over Internet in a highly efficient way under constraints that include limited complexity and bandwidth. This part of the standard defines a set of tools for high efficient video coding, including multiple directional intra prediction, variable block size inter prediction and context adaptive binary arithmetic coding etc. Moreover, it specifies the decoding procedure. The target applications and services include but not limited TV over Internet, User Generated Multimedia Content, IP-based video conference, IP-based surveillance and other video enabled services and applications such as digital television broadcasting, digital storage media, and communication.
The JPEG2000 method [ISO/IEC FCD15444-1, July 2002] [D. S. Taubman, July 2000], applied to compress still images or moving pictures frame-by-frame, performs bitplane arithmetic entropy coding on each coefficient block of the wavelet transform of the source images. The rate control problem is considered as a combinatorial optimization problem (the resource allocation problem) to decide the truncation bitplane level of each code block, which minimizes the summation of the quantization error over the whole image according to the total bitrate available for the compressed image. In this paper, a new method is proposed to decide the truncation bitplanes using a dynamic programming scheme. The algorithm and an experimental result are also reported.
Variable length code (VLC) is used in a large variety of lossless compression applications. A specially designed VLC, called "universal variable length code" (UVLC), is utilized in the latest video coding standard H.26L under development. In this work we propose a coding method that we call "alternating coding" (ALT coding) for UVLC. An efficient UVLC decoder is designed (ALT decoder) on the basis of it. ALT coding facilitates a much easier decoding scheme for UVLC. It frees the decoder from codeword tables and the sizes of the barrel shifters are reduced. The codeword tables and barrel shifters usually occupy the largest portion of the area in the traditional VLC decoders and they are also performance limiting in terms of speed and power consumption. We compare the ALT decoder with one of the most efficient VLC decoders called "VLC decoder using plane separation" (PLS). Our results show that the ALT decoder increases 257% in speed, decreases 41% in size, and consumes 45% power of the PLS decoder.
JPEG2000 will be the international standard to continuous-tone still image coding in next generation. JPEG2000 algorithm is different from JPEG algorithm in filtering and entropy coding. In this thesis, we propose BPC hardware design based on parallel pass to improve performance. Hardware module which performs the bit plane coding (BPC) operation is designed by Verilog-HDL and synthesized by QuartusII. As a result of implementing BPC hardware, a speed gain of about 2 times is achieved when a process did BPC by based on serial pass.
Existing video coding standards always employ line-based intra prediction for intra frame coding. However, it sometimes does not perform well for the bottom-right boundary pixels due to the low correlation with the referenced pixels. In this paper, we propose a novel joint line and pixel prediction (JLPP) method to compensate the performance degradation of boundary pixels. In JLPP, each block is partitioned into two subblocks, including a P-subblock covering bottom and right pixels and a L-subblock comprising the rest pixels. L-subblock will firstly be predicted and coded in a similar way to H.264/AVC intra coding. Secondly, a gradient-adjusted prediction scheme is applied to P-subblock with the aid of the reconstructed pixels in L-subblock. Therefore, the reconstruction qualities of the boundary pixels used to predict the subsequent blocks can be enhanced. Experimental results demonstrate that the proposed method achieves a PSNR gain of up to 0.63dB compared with H.264/AVC intra coding.
The lossless compression of electroencephalographic (EEG) data is of great interest to the biomedical research community. In this paper, a two-stage technique of lossless compression involving decorrelating the sample points of the EEG signal and then entropy coding the resulting signal is examined. Two alternatives are presented for performing the first task. Specifically, the first stage consists either of a fixed coefficient filter or a recursive least squares lattice filter. The second stage employs arithmetic coding to perform the task of entropy coding the data. In the decompression stage, exact inverse filters are applied to achieve lossless compression. Simulations demonstrate the feasibility of this method for lossless EEG data compression.
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