Stereoscopic Perceptual Video Coding Based on Just-Noticeable-Distortion Profile

2011 ◽  
Vol 57 (2) ◽  
pp. 572-581 ◽  
Author(s):  
Lei Zhang ◽  
Qiang Peng ◽  
Qiong-Hua Wang ◽  
Xiao Wu
Keyword(s):  
Video Coding ◽  
Just Noticeable Distortion ◽  
Perceptual Video Coding

scholarly journals Perceptual Video Coding Scheme Using Just Noticeable Distortion Model Based on Entropy Filter

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1095 ◽  
Author(s):  
Cui ◽  
Peng ◽  
Jiang ◽  
Chen ◽  
Yu
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Rate Distortion ◽  
Control Factor ◽  
Quality Loss ◽  
High Definition ◽  
Distortion Compensation ◽  
Just Noticeable Distortion ◽  
Perceptual Video Coding

Because perceptual video coding (PVC) can reduce bitrates with negligible visual quality loss in video compression, a PVC scheme based on just noticeable distortion (JND) model is proposed for ultra-high definition video. Firstly, the proposed JND model is designed, considering the spatial JND characteristics such as contrast sensitivity, luminance adaptation and saliency weight factor. Secondly, in order to perform precise JND suppression, the Gauss differential entropy (GDE) filter is designed to divide the image into smooth and complex texture region. Thirdly, through incorporating the proposed JND model into the encoding process, the transform coefficients are suppressed in harmonization with the transform/quantization process of high efficiency video coding (HEVC). In order to achieve the JND suppression effectively, a distortion compensation factor and distortion compensation control factor are incorporated to control the extent of distortion in the rate distortion optimization process. The experimental results show that the proposed PVC scheme can achieve a remarkable bitrate reduction of 32.98% for low delay (LD) configuration and 28.61% for random access (RA) configuration with a negligible subjective quality loss. Meanwhile, the proposed method only causes about average 12.94% and 22.45% encoding time increase under LD and RA configuration compared with an HEVC reference software, respectively.

A Fast Perceptual Surveillance Video Coding (PSVC) Based on Background Model-Driven JND Estimation

2020 ◽  
pp. 2155006
Author(s):  
Gang Wang ◽  
Mingliang Zhou ◽  
Haiheng Cao ◽  
Bin Fang ◽  
Shiting Wen ◽  
...  
Keyword(s):  
Video Coding ◽  
Estimation Method ◽  
Background Modeling ◽  
Video Codec ◽  
Background Model ◽  
Surveillance Video ◽  
Time Saving ◽  
Model Driven ◽  
Just Noticeable Distortion ◽  
Perceptual Video Coding

Perceptual video coding (PVC) optimization has been an important video coding technique, which can be consistent with the perception characteristics of the human visual system (HVS). Currently, PVC schemes incorporating the just noticeable distortion (JND) model can obtain better performance gain in all PVC schemes. To further accelerate the JND computation for real-time video coding applications (e.g. surveillance video coding and conference video coding), this paper proposes a fast perceptual surveillance video coding (PSVC) scheme based on background model-driven JND estimation method. First, to utilize the surveillance scene characteristics, the computation complexity of JND estimation can be significantly decreased by reusing the content complexity of background regions. Then we apply the perceptive video coding scheme into the background modeling-based surveillance video codec. The proposed scheme adopts background modeling frame as background anchor. Experimental results show that the proposed scheme can yield remarkable time saving of 42.33% maximum and on average 34.76% with approximate bitrate reductions and similar subjective quality, compared to HEVC and other state-of-the-art schemes.

scholarly journals Video Compression for Screen Recorded Sequences Following Eye Movements

2021 ◽  
Author(s):  
Diego Jesus Serrano-Carrasco ◽  
Antonio Jesus Diaz-Honrubia ◽  
Pedro Cuenca
Keyword(s):  
Eye Tracking ◽  
Video Coding ◽  
Video Compression ◽  
High Performance ◽  
High Efficiency ◽  
Tracking System ◽  
Bit Rate ◽  
Video Traffic ◽  
High Efficiency Video Coding ◽  
Perceptual Video Coding

AbstractWith the advent of smartphones and tablets, video traffic on the Internet has increased enormously. With this in mind, in 2013 the High Efficiency Video Coding (HEVC) standard was released with the aim of reducing the bit rate (at the same quality) by 50% with respect to its predecessor. However, new contents with greater resolutions and requirements appear every day, making it necessary to further reduce the bit rate. Perceptual video coding has recently been recognized as a promising approach to achieving high-performance video compression and eye tracking data can be used to create and verify these models. In this paper, we present a new algorithm for the bit rate reduction of screen recorded sequences based on the visual perception of videos. An eye tracking system is used during the recording to locate the fixation point of the viewer. Then, the area around that point is encoded with the base quantization parameter (QP) value, which increases when moving away from it. The results show that up to 31.3% of the bit rate may be saved when compared with the original HEVC-encoded sequence, without a significant impact on the perceived quality.

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