Title :
A fast CU Partitionning algorithm based on early detection of zero block quantified transform coefficients for HEVC standard
Author :
Kibeya, Hassan ; Belghith, Fatma ; Ben Ayed, Mohamed Ali ; Masmoudi, Nouri
Author_Institution :
Nat. Sch. of Eng., Univ. of Sfax, Sfax, Tunisia
Abstract :
In this paper, a fast Coding Unit (CU) partitioning algorithm is proposed to reduce encoding time of HEVC test model (HM). HEVC is the new generation video codec which improves the coding efficiency significantly and provides more than 50% bit rate reduction while maintaining the same image quality compared to its predecessor H.264/AVC. Different sizes of CUs are adopted during encoding which makes the encoding process time consuming. To reduce this computational complexity, a fast CU partitioning method is proposed based on early zero block detection technique. The performance of the proposed algorithm is verified through comparative analysis of encoding time and rate compression. Comparing to HM 10, our method saves the encoding time from 2% to 56% for different test videos with negligible coding loss.
Keywords :
computational complexity; data compression; transforms; video coding; HEVC test model; HM; coding efficiency; computational complexity; early zero block detection technique; encoding time; fast coding unit partitioning algorithm; image quality; new generation video codec; rate compression; zero block quantified transform coefficients; Algorithm design and analysis; Image coding; PSNR; Partitioning algorithms; Software algorithms; Transforms; Video coding; Fast CU decision; HM 10; RDcost; Zero Block;
Conference_Titel :
Image Processing, Applications and Systems Conference (IPAS), 2014 First International
Print_ISBN :
978-1-4799-7068-1
DOI :
10.1109/IPAS.2014.7043322