A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding

2016 ◽  
Vol 7 (4) ◽  
pp. 17-27
Author(s):  
Wei Li ◽  
Fan Zhao ◽  
Peng Ren ◽  
Zheng Xiang
Keyword(s):  
Local Property ◽  
Experimental Results ◽  
Entropy Coding ◽  
Bit Rate ◽  
Scanning Pattern ◽  
Video Coder ◽  
Content Representation ◽  
Block Transform

The block transform video coder of H.265/HEVC has been formulated for a more flexible content representation to satisfy various implementation demands. Here three coefficient-scanning methods of diagonal, horizontal and vertical scan are employed for mapping a 2-D array to a 1-D vector for further reducing redundancy in entropy coding. However, the fixation scanning pattern does not fully exploit the correlation among quantized coefficients and the coding redundancy still exists. In this paper, a new adaptive coefficient scanning (ACS) method is proposed for effective H.265/HEVC entropy coding. Here the characteristic of syntax elements of quantized coefficients is first studied and then the related context probability of symbol is estimated through combining local property. Guided by the principle of entropy coding, the scanning approach is established for higher coding performance. Experimental results demonstrate that a reduction of about 3.6%–4.2% in bit-rate can be observed with almost no loss in coding complexity.

A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding

2021 ◽  
pp. 1133-1144
Author(s):  
Wei Li ◽  
Fan Zhao ◽  
Peng Ren ◽  
Zheng Xiang
Keyword(s):  
Local Property ◽  
Experimental Results ◽  
Entropy Coding ◽  
Bit Rate ◽  
Scanning Pattern ◽  
Video Coder ◽  
Content Representation ◽  
Block Transform

The block transform video coder of H.265/HEVC has been formulated for a more flexible content representation to satisfy various implementation demands. Here three coefficient-scanning methods of diagonal, horizontal and vertical scan are employed for mapping a 2-D array to a 1-D vector for further reducing redundancy in entropy coding. However, the fixation scanning pattern does not fully exploit the correlation among quantized coefficients and the coding redundancy still exists. In this paper, a new adaptive coefficient scanning (ACS) method is proposed for effective H.265/HEVC entropy coding. Here the characteristic of syntax elements of quantized coefficients is first studied and then the related context probability of symbol is estimated through combining local property. Guided by the principle of entropy coding, the scanning approach is established for higher coding performance. Experimental results demonstrate that a reduction of about 3.6%–4.2% in bit-rate can be observed with almost no loss in coding complexity.

scholarly journals The design and evaluation of hierarchical multi-level parallelisms for H.264 encoder on multi-core architecture

2010 ◽  
Vol 7 (1) ◽  
pp. 189-200 ◽  
Author(s):  
Haitao Wei ◽  
Yu Junqing ◽  
Li Jiang
Keyword(s):  
Video Coding ◽  
Experimental Results ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Good Compromise ◽  
Multi Level ◽  
Level Parallelism ◽  
Data Level ◽  
Intel Xeon

As a video coding standard, H.264 achieves high compress rate while keeping good fidelity. But it requires more intensive computation than before to get such high coding performance. A Hierarchical Multi-level Parallelisms (HMLP) framework for H.264 encoder is proposed which integrates four level parallelisms - frame-level, slice-level, macroblock-level and data-level into one implementation. Each level parallelism is designed in a hierarchical parallel framework and mapped onto the multi-cores and SIMD units on multi-core architecture. According to the analysis of coding performance on each level parallelism, we propose a method to combine different parallel levels to attain a good compromise between high speedup and low bit-rate. The experimental results show that for CIF format video, our method achieves the speedup of 33.57x-42.3x with 1.04x-1.08x bit-rate increasing on 8-core Intel Xeon processor with SIMD Technology.

scholarly journals RGB Medical Video Compression Using Geometric Wavelet

2016 ◽  
Vol 6 (4) ◽  
pp. 1627
Author(s):  
Yassine Habchi ◽  
Beladgham Mohammed ◽  
Taleb Ahmed Abdelmalik
Keyword(s):  
Wavelet Transform ◽  
Optical Flow ◽  
Video Compression ◽  
Experimental Results ◽  
Bit Rate ◽  
Quadtree Decomposition ◽  
Low Bit Rate ◽  
High Efficient ◽  
Medical Domain ◽  
Spiht Algorithm

The video compression is used in a wide of applications from medical domain especially in telemedicine. Compared to the classical transforms, wavelet transform has significantly better performance in horizontal, vertical and diagonal directions. Therefore, this transform introduces high discontinuities in complex geometrics. However, to detect complex geometrics is one key challenge for the high efficient compression. In order to capture anisotropic regularity along various curves a new efficient and precise transform termed by bandelet basis, based on DWT, quadtree decomposition and optical flow is proposed in this paper. To encode significant coefficients we use efficient coder SPIHT. The experimental results show that the proposed algorithm DBT-SPIHT for low bit rate (0.3Mbps) is able to reduce up to 37.19% and 28.20% of the complex geometrics detection compared to the DWT-SPIHT and DCuT-SPIHT algorithm.

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