An Effective RD Cost Optimization Algorithm for HEVC

Jiajun, Wu

doi:10.1109/imcec.2018.8469676

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Jiajun 25 proposed an early termination method of sub-pixel motion estimation (ME). Choi et al 26 proposed a design of efficient perspective affine motion compensation (PAMC) method which can cope with more complex motions such as shear and shape distortion.…”

Section: Review Of Related Workmentioning

confidence: 99%

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

Lee

Ahn

Kim

et al. 2019

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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.

show abstract

Section: Review Of Related Workmentioning

confidence: 99%