Results 291 to 300 of about 2,963,905 (354)
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International Journal of Foundations of Computer Science, 2005
We present an EREW PRAM cost optimal parallel algorithm for arithmetic coding computation. We solve the problem in [Formula: see text] time using n/log n processors. Each part of the algorithm as well as a well-known parallel prefix computation forming a basis of the algorithm are clarified on simple examples.
Jan Supol, Borivoj Melichar
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We present an EREW PRAM cost optimal parallel algorithm for arithmetic coding computation. We solve the problem in [Formula: see text] time using n/log n processors. Each part of the algorithm as well as a well-known parallel prefix computation forming a basis of the algorithm are clarified on simple examples.
Jan Supol, Borivoj Melichar
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Distributed video coding using interval overlapped arithmetic coding
Signal Processing: Image Communication, 2019Distributed video coding (DVC) is a flexible and novel video coding mode that is different from traditional video compression methods, which can shift the complex task such as motion estimation from encoder to decoder.
Junwei Zhou +2 more
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Arithmetic norms and bounds of the arithmetic AN codes
IEEE Transactions on Information Theory, 1970Properties of integers, related to the generation of the arithmetic AN codes, are investigated in this paper. A programmable algorithm for the computation of the binary norm of an arbitrary integer is developed. A table of norms of the natural numbers is generated and from this the distribution of integers of a given norm is found.
Albert C. L. Chiang, Irving S. Reed
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DecMac: A Deep Context Model for High Efficiency Arithmetic Coding
Digital Signal Processing and Signal Processing Education Workshop, 2019Conventional lossless compression techniques that use look up table method tend to be inefficient. We propose a deep context model, named DecMac, which combines a three-layer LSTM with adaptive arithmetic coding for lossless compression.
Qi Liu, Yiling Xu, Zhu Li
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Neural Network-Based Arithmetic Coding for Inter Prediction Information in HEVC
International Symposium on Circuits and Systems, 2019Entropy coding is a fundamental technique in video coding to remove the statistical redundancy in syntax elements. Currently, context-adaptive binary arithmetic coding (CABAC) is used as the entropy coding tool in HEVC.
Changyue Ma +4 more
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[1991] Proceedings. Data Compression Conference, 2002
A new coding technique, FIXARI, is easily programmed to produce fixed-length codewords quickly for partial decoding and indexing. Errors in transmission (bit switches) remain local to the keyboard. >
Jukka Teuhola, Timo Raita
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A new coding technique, FIXARI, is easily programmed to produce fixed-length codewords quickly for partial decoding and indexing. Errors in transmission (bit switches) remain local to the keyboard. >
Jukka Teuhola, Timo Raita
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Arithmetic Codes for Constrained Channels
IBM Journal of Research and Development, 1983Arithmetic codes have been studied in the context of compression coding, i.e., transformations to code strings which take up less storage space or require less transmission time over a communications link. Another application of coding theory is that of noiseless channel coding, where constraints on strings in the channel symbol alphabet prevent an ...
G. Nigel Martin +2 more
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Convolutional Neural Network-Based Arithmetic Coding of DC Coefficients for HEVC Intra Coding
International Conference on Information Photonics, 2018In the state-of-the-art video coding standard-High Efficiency Video Coding (HEVC), context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding tool. In CABAC, the binarization processes are manually designed, and the context models
Changyue Ma +3 more
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An Introduction to Arithmetic Coding
IBM Journal of Research and Development, 1984Summary: Arithmetic coding is a data compression technique that encodes data (the data string) by creating a code string which represents a fractional value on the number line between 0 and 1. The coding algorithm is symbolwise recursive; i.e., it operates upon and encodes (decodes) one data symbol per iteration or recursion.
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