Prediction unit pruning algorithm for inter‐prediction in high‐efficiency video coding

2015 ◽  
Vol 51 (6) ◽  
pp. 477-479
Author(s):  
Donggil Kang ◽  
Sangsoo Park ◽  
Youpyo Hong
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Inter Prediction ◽  
High Efficiency Video Coding ◽  
Pruning Algorithm

scholarly journals Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information

2019 ◽  
Vol 15 (12) ◽  
pp. 155014771989256
Author(s):  
Hong-rae Lee ◽  
Eun-bin Ahn ◽  
A-young Kim ◽  
Kwang-deok Seo
Keyword(s):  
Computational Complexity ◽  
Video Coding ◽  
High Efficiency ◽  
Image Texture ◽  
Inter Prediction ◽  
Scene Change ◽  
High Efficiency Video Coding ◽  
Scene Change Detection ◽  
Real Time Processing ◽  
Coding Efficiency

Recently, as demand for high-quality video and realistic media has increased, High Efficiency Video Coding has been standardized. However, High Efficiency Video Coding requires heavy cost in terms of computational complexity to achieve high coding efficiency, which causes problems in fast coding processing and real-time processing. In particular, High Efficiency Video Coding inter-coding has heavy computational complexity, and the High Efficiency Video Coding inter prediction uses reference pictures to improve coding efficiency. The reference pictures are typically signaled in two independent lists according to the display order, to be used for forward and backward prediction. If an event occurs in the input video, such as a scene change, the inter prediction performs unnecessary computations. Therefore, the reference picture list should be reconfigured to improve the inter prediction performance and reduce computational complexity. To address this problem, this article proposes a method to reduce computational complexity for fast High Efficiency Video Coding encoding using information such as scene changes obtained from the input video through preprocessing. Furthermore, reference picture lists are reconstructed by sorting the reference pictures by similarity to the current coded picture using Angular Second Moment, Contrast, Entropy, and Correlation, which are image texture parameters from the input video. Simulations are used to show that both the encoding time and coding efficiency could be improved simultaneously by applying the proposed algorithms.

Fast inter-prediction algorithms for spatial Scalable High efficiency Video Coding SHVC

2018 ◽  
Vol 13 (1) ◽  
pp. 145-153 ◽  
Author(s):  
Ibtissem Wali ◽  
Amina Kessentini ◽  
Mohamed Ali Ben Ayed ◽  
Nouri Masmoudi
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Inter Prediction ◽  
High Efficiency Video Coding ◽  
Prediction Algorithms
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