Abstract
Future Video Coding (FVC) is a modern standard in the field of video coding that offers much higher compression efficiency than the HEVC standard. FVC was developed by the Joint Video Exploration Team (JVET), formed through collaboration between the ISO/IEC MPEG and ITU-T VCEG. New tools emerging with the FVC bring in super resolution implementation schemes that are being recommended for Ultra-High-Definition (UHD) video coding in both SDR and HDR images. However, a new flexible block structure is adopted in the FVC standard, which is named quadtree plus binary tree (QTBT) in order to enhance compression efficiency. In this paper, we provide a fast FVC algorithm to achieve better performance and to reduce encoding complexity. First, we evaluate the FVC profiles under All Intra, Low-Delay P, and Random Access to determine which coding components consume the most time. Second, a fast FVC mode decision is proposed to reduce encoding computational complexity. Then, a comparison between three configurations, namely, Random Access, Low-Delay B, and Low-Delay P, is proposed, in terms of Bitrate, PSNR, and encoding time. Compared to previous works, the experimental results prove that the time saving reaches 13% with a decrease in the Bitrate of about 0.6% and in the PSNR of 0.01 to 0.2 dB.
Highlights
High-Efficiency Video Coding (HEVC) is the leading video coding standard [1], standardized in 2013 by the Joint Collaborative Team on Video Coding (JCT-VC) forming the Motion Picture Experts’ Group (MPEG) and the VideoCoding Expert Group (VCEG)
At the same video quality, especially for UHD video, the Future Video Coding (FVC) standard currently provides between 25 and 30% Bitrate saving compared to. These new FVC technologies are being evaluated in order to improve the compression efficiency using an experimental platform, namely, the Joint Exploration Model (JEM) software, which was developed from the reference software HM
This paper focuses on the optimization of the new video coding standard (FVC) through fast methods in terms of encoding time
Summary
High-Efficiency Video Coding (HEVC) is the leading video coding standard [1], standardized in 2013 by the Joint Collaborative Team on Video Coding (JCT-VC) forming the Motion Picture Experts’ Group (MPEG) and the Video. With the development of video technologies, better qualities and higher resolutions are demanding For this reason, the new video codec is very interesting to improve the compression efficiency and the quality of the predecessor standards. At the same video quality, especially for UHD video, the FVC standard currently provides between 25 and 30% Bitrate saving compared to HEVC [4] These new FVC technologies are being evaluated in order to improve the compression efficiency using an experimental platform, namely, the Joint Exploration Model (JEM) software, which was developed from the reference software HM [3]. This paper focuses on the optimization of the new video coding standard (FVC) through fast methods in terms of encoding time.
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