Low-Complexity Encoding Method for H.264/AVC Based on Visual Perception

2011 ◽  
Author(s):  
Pengyu Liu ◽  
Kebin Jia
Keyword(s):  
Visual Perception ◽  
Low Complexity ◽  
Encoding Method

scholarly journals An Efficient Hierarchical Video Coding Scheme Combining Visual Perception Characteristics

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Pengyu Liu ◽  
Kebin Jia
Keyword(s):  
Visual Perception ◽  
Video Coding ◽  
Priority Setting ◽  
Motion Vector ◽  
Region Of Interest ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Coding Scheme ◽  
Encoding Method ◽  
Perception Analysis

Different visual perception characteristic saliencies are the key to constitute the low-complexity video coding framework. A hierarchical video coding scheme based on human visual systems (HVS) is proposed in this paper. The proposed scheme uses a joint video coding framework consisting of visual perception analysis layer (VPAL) and video coding layer (VCL). In VPAL, effective visual perception characteristics detection algorithm is proposed to achieve visual region of interest (VROI) based on the correlation between coding information (such as motion vector, prediction mode, etc.) and visual attention. Then, the interest priority setting for VROI according to visual perception characteristics is completed. In VCL, the optional encoding method is developed utilizing the visual interested priority setting results from VPAL. As a result, the proposed scheme achieves information reuse and complementary between visual perception analysis and video coding. Experimental results show that the proposed hierarchical video coding scheme effectively alleviates the contradiction between complexity and accuracy. Compared with H.264/AVC (JM17.0), the proposed scheme reduces 80% video coding time approximately and maintains a good video image quality as well. It improves video coding performance significantly.

scholarly journals Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Pengyu Liu ◽  
Kebin Jia
Keyword(s):  
Visual Perception ◽  
Video Coding ◽  
Saliency Detection ◽  
Motion Vector ◽  
Region Of Interest ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Characteristics Analysis ◽  
Perceptual Video Coding ◽  
Saliency Region

A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. Firstly, this algorithm employs motion vector (MV) to extract temporal saliency region through fast MV noise filtering and translational MV checking procedure. Secondly, spatial saliency region is detected based on optimal prediction mode distributions in I-frame and P-frame. Then, it combines the spatiotemporal saliency detection results to define the video region of interest (VROI). The simulation results validate that the proposed algorithm can avoid a large amount of computation work in the visual perception characteristics analysis processing compared with other existing algorithms; it also has better performance in saliency detection for videos and can realize fast saliency detection. It can be used as a part of the video standard codec at medium-to-low bit-rates or combined with other algorithms in fast video coding.

scholarly journals Efficient QC-LDPC Encoder for 5G New Radio

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 668 ◽  
Author(s):  
Tram Thi Bao Nguyen ◽  
Tuy Nguyen Tan ◽  
Hanho Lee
Keyword(s):  
Substantial Reduction ◽  
Complementary Metal Oxide Semiconductor ◽  
Low Complexity ◽  
Cmos Technology ◽  
Memory Storage ◽  
Oxide Semiconductor ◽  
Parity Check ◽  
Hardware Complexity ◽  
New Radio ◽  
Encoding Method

This paper presents a novel efficient encoding method and a high-throughput low-complexity encoder architecture for quasi-cyclic low-density parity-check (QC-LDPC) codes for the 5th-generation (5G) New Radio (NR) standard. By storing the quantized value of the permutation information for each submatrix instead of the whole parity check matrix, the required memory storage size is considerably reduced. In addition, sharing techniques are employed to reduce the hardware complexity. The encoding complexity of the proposed method was analyzed, and indicated a substantial reduction in the required area as well as memory storage when compared with existing state-of-the-art encoding approaches. The proposed method requires only 61% gate area, and 11% ROM storage when compared with a similar LDPC encoder using the Richardson–Urbanke method. Synthesis results on TSMC 65-nm complementary metal-oxide semiconductor (CMOS) technology with different submatrix sizes were carried out, which confirmed that the design methodology is flexible and can be adapted for multiple submatrix sizes. For all the considered submatrix sizes, the throughput ranged from 22.1–202.4 Gbps, which sufficiently meets the throughput requirement for the 5G NR standard.

Development of visual perception and attention, assessed by backward masking and application in children with epilepsy

2003 ◽  
Vol 45 (08) ◽  
Author(s):  
Marta Macchi ◽  
Livia Nicoletta Rossi ◽  
Ivan Cortinovis ◽  
Lucia Menegazzo ◽  
Sandra Maria Burri ◽  
...  
Keyword(s):  
Visual Perception ◽  
Backward Masking

Review of The Psychology of Visual Perception. 2nd ed.

1981 ◽  
Vol 26 (3) ◽  
pp. 228-228
Author(s):  
Julian Hochberg
Keyword(s):  
Visual Perception
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