Abstract
Motion Estimation (ME) and the two-dimensional (2D) discrete cosine transform (2D-DCT) are both computationally expensive parts of HEVC standard, therefore real-time performance of the HEVC may not be free from glitches. To address this issue, this study deploys the graphics processing units (GPUs) to perform the ME and 2D-DCT tasks. In this concern, authors probed into four levels of parallelism (i.e., frame, macroblock, search area, and sum of the absolute difference (SAD) levels) existing in ME. For comparative analysis, authors involved full search (FS), test zone search (TZS) of HEVC, and hierarchical diamond search (EHDS) ME algorithms. Similarly, two levels of parallelism (i.e., macroblock and sub-macroblock) are also explored in 2D-DCT. Notably, the least computationally complex multithreaded Loeffler DCT algorithm is utilized for computing 2D-DCT. Experimental results show that ME processing task corresponding to 25 frames, with each frame of size (3840×2160) pixels, is accomplished in 0.15 seconds on the NVIDIA GeForce GTX 1080, whereas the 2D-DCT task along with the image reconstruction and differencing corresponding to 25 frames took 0.1 seconds. Collectively, both ME and 2D-DCT tasks are processed in 0.25 seconds, which still leaves enough room for the encoder’s remaining parts to be executed within one second. Due to this enhancement, the resultant encoder can safely be used in real-time applications.
Publisher
Public Library of Science (PLoS)
Reference29 articles.
1. An Analysis of the Impact of HEVC on Existing Media Businesses.;D Marshall;SMPTE15, Persistence of Vision—Defining the Future,2015
2. Fast Motion Estimation Based on Diamond Refinement Search for High Efficiency Video Coding.;YK Lai;IEEE International Conference on Consumer Electronics (ICCE);,2019
3. Online Machine Learning for Fast Coding Unit Decisions in HEVC.;G Correa;2019 Data Compression Conference (DCC),2019
4. A low complexity and computationally scalable fast motion estimation algorithm for HEVC;F Pakdaman;Multimedia Tools and Applications,2020
5. Multiple layer parallel motion estimation on GPU for High Efficiency Video Coding (HEVC).;F Luo;2015 IEEE International Symposium on Circuits and Systems (ISCAS);,2015