Low power hardware design for entropy coding of H.264/AVC baseline profile encoder is urgent for the increasing mobile applications. However, previous works are poor in the power performance. In this paper, the first ...
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Low power hardware design for entropy coding of H.264/AVC baseline profile encoder is urgent for the increasing mobile applications. However, previous works are poor in the power performance. In this paper, the first low power context-based adaptive variable length coding (CAVLC) scheme named the side information aided (SIA) symbol look ahead (SLA) one-pass CAVLC is proposed, with the non-zero and abs-one SIA flags. A reconfigurable architecture for the SLA module is also proposed to support the low power CAVLC scheme efficiently. The resultant hardware power is reduced by 69% to only 3.7 mW at 27 MHz and 1.8 V for CIF-sized video coding. The total logic gate count is 27 K gates
Encoding video in scalable formats supports fast and efficient adaptation. Fully scalable video bit-stream requires layered structure of most of its components. However, layered representation requires new entropy cod...
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ISBN:
(纸本)9781424437566
Encoding video in scalable formats supports fast and efficient adaptation. Fully scalable video bit-stream requires layered structure of most of its components. However, layered representation requires new entropy coding strategies able to efficiently protecting different layers. In this work, we apply multiplexed codes on a scalable video coding (SVC) scheme with a spatial scalability as well as a temporal scalability. Experimental results reveal a very high error resilience at almost no cost in compression efficiency. Tests indicate that with multiplexed codes, it is possible to ensure auto_synchronisation decoder in the case of corrupt bit-stream, without increasing the bit rate or the complexity of treatment.
A speech/audio codec based on Frequency Domain Linear Prediction (FDLP) exploits auto-regressive modeling to approximate instantaneous energy in critical frequency sub-bands of relatively long input segments. The curr...
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ISBN:
(纸本)9781615676927
A speech/audio codec based on Frequency Domain Linear Prediction (FDLP) exploits auto-regressive modeling to approximate instantaneous energy in critical frequency sub-bands of relatively long input segments. The current version of the FDLP codec operating at 66 kbps has been shown to provide comparable subjective listening quality results to state-of-the-art codecs on similar bit-rates even without employing standard blocks such as entropy coding or simultaneous masking. This paper describes an experimental work to increase compression efficiency of the FDLP codec by employing entropy coding. Unlike conventional Huffman coding employed in current speech/audio coding systems, we describe an efficient way to exploit arithmetic coding to entropy compress quantized spectral magnitudes of the sub-band FDLP residuals. Such an approach provides 11% (similar to 3 kbps) bit-rate reduction compared to the Huffman coding algorithm (similar to 1 kbps).
H.264/AVC is the latest international video coding standard, which provides a superior coding efficiency, compared with MPEG-4 and other previous standards. Context Adaptive Binary Arithmetic coding (CABAC) was adopte...
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ISBN:
(纸本)9781424441303
H.264/AVC is the latest international video coding standard, which provides a superior coding efficiency, compared with MPEG-4 and other previous standards. Context Adaptive Binary Arithmetic coding (CABAC) was adopted by H.264/AVC and plays a very important role in improving the video coding efficiency. However, the coding speed of CABAC is restricted by high computational complexity, which becomes a major bottleneck in many applications. According to the analysis of the CABAC coding flow and its computational complexity, an effective accelerating CABAC algorithm based on adaptive probability estimation update (APU-CABAC) to improve its coding speed is proposed. Instead of every binary symbol's coding, the probability estimation update part in APU-CABAC is done after every packet. In addition, the packet size is adaptively adjusted according to the comparison of the symbol changing frequency coefficient of the last and current packets. Experimental results show that APU-CABAC provides a substantial improvement in the coding speed of CABAC while coding efficiency declines only a little.
This paper presents CRICM (Cross point Regions for lossless Image Compression on Multiple bit planes), an algorithm for losslessly encoding and decoding images, especially medical images, by optimizing on the probabil...
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ISBN:
(纸本)9781424434824
This paper presents CRICM (Cross point Regions for lossless Image Compression on Multiple bit planes), an algorithm for losslessly encoding and decoding images, especially medical images, by optimizing on the probability of bits on different bit planes of cross points that are neighbor points of grey levels 2(n). Based on Gray coding, Gray codes of cross points are determined on an adjacent data set because images characteristically contain data that does not change much in a specific area;then this effect is generalized for real data without losing generality for their statistical properties. This is especially true for medical images that have many regions with the same grey levels. The Gray code transformation makes the bit states of cross points change from the original data bits, so first the probabilities of data bits on specific bit planes in cross point regions and then the entropies of the messages are changed. These probabilities are estimated and compared with the probabilities of the original data bits. This change of probability has important effects on the encoding and decoding processes in lossless medical image compression.
In this paper, we present an effective low-complexity algorithm for onboard lossless compression of hyperspectral images, the algorithm based on hybrid prediction. It is suitable to spacecraft onboard implementation a...
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In this paper, we present an effective low-complexity algorithm for onboard lossless compression of hyperspectral images, the algorithm based on hybrid prediction. It is suitable to spacecraft onboard implementation as having much less complexity. Specifically, the proposed algorithm is mainly composed of three parts to compress the hyperspectral images. First of all, a three-dimensional (3-D) predictor, improved LCL-3D algorithm, is used to exploit the spatial correlation and spectral correlation efficiently, then a two-dimensional (2-D) nonlinear prediction algorithm is applied on the residual image after the 3D predictor. Finally, the residual image is entropy coded by the Rice coding. Performance of the method is compared to those algorithms, pure JPEG-LS, differential JPEG-LS, CALIC-extended, and LCL-3D. Simulation results show that the method outperforms LCL-3D as well as other compression algorithms and can be implemented onboard.
In this paper, a real-time entropy decoder for HD video is designed, the whole decoding process is controlled under a finite state machine and the codeword is divided into three parts such as SPS/PPS/SliceHeader, CAVL...
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In this paper, a real-time entropy decoder for HD video is designed, the whole decoding process is controlled under a finite state machine and the codeword is divided into three parts such as SPS/PPS/SliceHeader, CAVLC and EXP-Golomb. Due to variable length code, the five syntax elements of CAVLC will be parsed step by step. In the proposed implementation, a look-up table algorithm based on pos (the number of zero) is exploited and may be divided into sub-table according to priority in the same pos. The synthesis results show that the architecture can satisfy the requirement for a 1920×1080p@30fps high definition decoding.
The H.264/AVC standard employs the predictive motion vector coding technique using the median predictor of spatially neighboring three motion vectors. Although the median is effective in reducing redundancy, it is not...
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The H.264/AVC standard employs the predictive motion vector coding technique using the median predictor of spatially neighboring three motion vectors. Although the median is effective in reducing redundancy, it is not always optimal in minimizing bits. To solve the matter, a new motion vector coding scheme, known as, MV competition in which decoder is signaled on the selected optimal PMV, has been reported. Though it can use the optimal PMV(Predicted Motion Vector), the bits consumed to indicating the optimal PMV to the decoder increases bit-rate. In this paper, we propose a new motion vector coding scheme that allows usage of an optimal PMV without consuming additional bits to inform the choice of PMV to decoder. Simulation results show that the proposed method gains in BDBR by 3.22% on average, and in BDPSNR by 0.13 dB compared to the H.264/AVC.
This paper introduces a low complexity VLSI hardware architecture for entropy coding with increased throughput, based on the study of the statistical properties of the context-based adaptive variable length coding (CA...
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ISBN:
(纸本)9781424438273
This paper introduces a low complexity VLSI hardware architecture for entropy coding with increased throughput, based on the study of the statistical properties of the context-based adaptive variable length coding (CAVLC) in AVC/H.264. These enhanced designs are due to the results of the statistical analyses, in which better symbol length prediction was achieved by breaking the recursive dependency among codewords for multi-symbol decoder implementation. The proposed CAVLC decoder can also easily meet real-time requirements for high definition (HD) (1920times1080) applications, while the clock speed is operated only at 13 MHz under the best case scenario.
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