Context-based Adaptive Binary Arithmetic Coding (CABAC) is the entropy coding module in the HEVC/H video coding standard. As in its predecessor. High Throughput CABAC Entropy Coding in HEVC. Abstract: Context-adaptive binary arithmetic coding (CAB-AC) is a method of entropy coding first introduced . Context-based Adaptive Binary Arithmetic Coding (CABAC) is a method of entropy coding which is widely used in the next generation standard of video coding.

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CABAC is notable for providing much better compression than most other entropy encoding algorithms used in video encoding, and it is one of the key elements that provides the H. CABAC is based on arithmetic codingwith a few innovations and changes to adapt it to the needs of video encoding standards: This is the purpose of the initialization process for context models in CABAC, which operates on two levels.

We select a probability table context model accordingly.

Context-Based Adaptive Binary Arithmetic Coding (CABAC)

Since CABAC guarantees an inherent adaptivity to the actually given conditional probability, there is no need for further structural adjustments besides the choice of a binarization or context model and associated initialization values which, as a first approximation, can be chosen in a canonical way by using the prototypes already specified in the Caba design.

This page was last edited on 14 Novemberat It has three distinct properties:. CABAC is also difficult to parallelize and vectorize, so other forms of parallelism such as spatial region parallelism may be coupled with its use. The definition of the decoding process is designed to facilitate low-complexity implementations of arithmetic encoding and decoding. The design of CABAC involves the key elements of binarization, context modeling, and binary arithmetic coding.

Context-Based Adaptive Binary Arithmetic Coding (CABAC) – Fraunhofer Heinrich Hertz Institute

Context-modeling for coding of binarized level magnitudes are based on the number of previously transmitted level magnitudes greater or equal to 1 within the reverse scanning path, which is motivated by the observation that levels with magnitude equal to 1 are statistical dominant at the end of the cbaac path.

The latter is chosen for bins related to the hevf information or for lower significant bins, which are assumed to be uniformly distributed and for which, consequently, the whole regular binary arithmetic encoding process is simply bypassed. Retrieved from ” https: Utilizing suitable context models, a given inter-symbol redundancy can be exploited by switching between different probability models according to already-coded symbols in the neighborhood of the current symbol to encode.

The L1 norm of two previously-coded values, e k cbac, is calculated:. Video Coding for Next-generation Multimedia. On the lower level, there is the quantization-parameter dependent initialization, which is invoked at the beginning of each slice.


Application-Specific Cache and Prefetching for HEVC CABAC Decoding

Javascript is disabled in your browser. From that time until completion of the first standard specification of H. Coding-Mode Decision and Context Modeling By decomposing each syntax element value into a sequence of bins, further processing of each bin value in CABAC depends on the associated coding-mode decision, which can be either chosen as the regular or the bypass mode.

Interleaved with these significance flags, a sequence of so-called last flags one for each significant coefficient level is generated for signaling the position of the last significant level within the scanning path. Other components that are needed to alleviate potential losses in coding efficiency when using small-sized slices, as further described below, were added at a later stage of cahac development.

From Wikipedia, the free encyclopedia. If e cahac is small, then there is a high probability that the current MVD will have a small magnitude; conversely, if e k is large then it is more likely that the current MVD will have a large magnitude.

It generates an initial state value depending on the given slice-dependent quantization parameter SliceQP using a pair of so-called initialization parameters for each model which describes a modeled linear cabwc between the SliceQP and the model probability p. Binarization The coding strategy of CABAC is based on the finding that a very efficient coding of syntax-element values in a hybrid block-based video coder, like components of motion vector differences or transform-coefficient level values, can be achieved by employing a binarization scheme as a kind of preprocessing unit for the subsequent stages of context modeling and binary arithmetic coding.

Note however that the actual transition rules, as tabulated in CABAC and as shown cabc the graph above, were determined to be only approximately equal to those derived by this exponential aging rule. Since the encoder can choose between the corresponding three tables of initialization parameters and signal its choice to the decoder, an additional degree of pre-adaptation is achieved, especially in the case of using small slices at low to cabax bit rates.

Circuits and Systems for Video TechnologyVol. This allows the discrimination of statistically different sources with the result of a significantly better adaptation to the individual statistical characteristics. By using this site, you agree to the Terms of Use and Privacy Policy. Please enable it for full functionality and experience.

For the specific choice of context models, four basic design types are employed in CABAC, where two of them, as further described below, are applied to coding of transform-coefficient levels, only. The context modeling provides estimates of conditional probabilities of the coding symbols.


CABAC has multiple probability modes for different contexts. Usually the addition cqbac syntax elements also affects the distribution of already available syntax elements which, in general, for a VLC-based entropy-coding approach may require to re-optimize the VLC tables of the given syntax elements rather than just adding a suitable VLC code for the new syntax element s. The ehvc context model supplies two probability estimates: As an extension of this low-level pre-adaptation of probability models, CABAC provides two additional pairs of yevc parameters cwbac each model that is used in predictive P or bi-predictive B slices.

The design of binarization schemes in CABAC is based on a few elementary prototypes whose structure enables simple online calculation and which are adapted to some suitable model-probability distributions. The other method specified in H. The design of these four prototypes is based on a priori knowledge about the typical characteristics of the source data to be modeled and it reflects the aim to find a good compromise between the conflicting objectives of avoiding unnecessary modeling-cost overhead and hvc the statistical dependencies to a large extent.

Coding of residual data in CABAC involves specifically designed syntax elements that are different from those used in the traditional run-length pre-coding approach. These estimates determine the two sub-ranges that the arithmetic coder uses hegc encode the bin. Pre-Coding of Transform-Coefficient Levels Coding of residual data in CABAC involves specifically designed syntax elements that are different from those used in the traditional run-length pre-coding approach.

Each probability model in CABAC can take one out of different states with associated probability values p ranging cqbac the interval [0. It is a lossless compression technique, although the video coding standards in which it is used are typically for lossy compression applications.

Views Read Edit View history. For the latter, a fast branch of the coding engine with a considerably reduced complexity is used while for the former coding mode, encoding of the given bin value depends on the actual state of the associated adaptive probability model that is passed along with the bin value to the M coder – a term that has been chosen for the novel table-based binary arithmetic coding engine in CABAC.

Update the context models.

In general, a binarization scheme defines a unique mapping of syntax element values to sequences of binary decisions, so-called bins, which can also be interpreted in terms of a binary code tree.