A Low-complexity Video Coding Scheme Based on Compressive Sensing

2011 ◽  
Author(s):  
Yantian Hou ◽  
Feng Liu
Keyword(s):  
Video Coding ◽  
Compressive Sensing ◽  
Low Complexity ◽  
Coding Scheme

A Low Complexity Multi-View Video Coding Scheme for Wireless Video Sensor Array

2008 ◽  
Vol 28 (1) ◽  
pp. 62-66 ◽  
Author(s):  
蒋刚毅 Jiang Gangyi ◽  
姜浩 Jiang Hao ◽  
郁梅 Yu Mei ◽  
蒋志迪 Jiang Zhidi ◽  
刘尉悦 Liu Weiyue
Keyword(s):  
Video Coding ◽  
Sensor Array ◽  
Low Complexity ◽  
Wireless Video ◽  
Coding Scheme ◽  
Video Sensor

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.

Low-Complexity Encoding in Block-Based Hybrid Video Codecs by Moving Motion Estimation to Decoder Side

2014 ◽  
Vol 5 (1) ◽  
pp. 19-29
Author(s):  
J. Karlsson
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Low Complexity ◽  
Motion Prediction ◽  
Motion Vectors ◽  
Video Codecs ◽  
Coding Efficiency ◽  
Coding Scheme ◽  
Network Delays ◽  
Block Based

In this paper the authors present an approach to provide efficient low-complexity encoding for the block-based video coding scheme. The authors present a method based on removing the most time-consuming task, that is motion estimation, from the encoder. Instead the decoder will perform motion prediction based on the available decoded frame and send the predicted motion vectors to the encoder. The results presented are based on a modified H.264 implementation. The results show that this approach can provide rather good coding efficiency even for relatively high network delays.

scholarly journals Low Complexity Trellis-Coded Quantization in Versatile Video Coding

2021 ◽  
Vol 30 ◽  
pp. 2378-2393
Author(s):  
Meng Wang ◽  
Shiqi Wang ◽  
Junru Li ◽  
Li Zhang ◽  
Yue Wang ◽  
...  
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Trellis Coded

scholarly journals Low-complexity compressive sensing with downsampling

2014 ◽  
Vol 11 (3) ◽  
pp. 20130947-20130947 ◽  
Author(s):  
Dongeun Lee ◽  
Jaesik Choi ◽  
Heonshik Shin
Keyword(s):  
Compressive Sensing ◽  
Low Complexity
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