
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.
Stereo Vision and Depth Estimation, Context-adaptive binary arithmetic coding, Single Image Super-Resolution Techniques, Coding tree unit, Advancements in Video Coding Standards and Techniques, TK5101-6720, Real-time computing, FOS: Mathematics, Scalable Video Coding, Coding (social sciences), Computer network, Transform Coding, Statistics, High Efficiency Video Coding (HEVC), Quadtree, Computer hardware, Computer science, Random access, Algorithm, Video processing, Data compression, Video tracking, Signal Processing, Computer Science, Physical Sciences, Telecommunication, H.264/AVC, Computer Vision and Pattern Recognition, Decoding methods, Multiview Video Coding, Mathematics, Video Coding
Stereo Vision and Depth Estimation, Context-adaptive binary arithmetic coding, Single Image Super-Resolution Techniques, Coding tree unit, Advancements in Video Coding Standards and Techniques, TK5101-6720, Real-time computing, FOS: Mathematics, Scalable Video Coding, Coding (social sciences), Computer network, Transform Coding, Statistics, High Efficiency Video Coding (HEVC), Quadtree, Computer hardware, Computer science, Random access, Algorithm, Video processing, Data compression, Video tracking, Signal Processing, Computer Science, Physical Sciences, Telecommunication, H.264/AVC, Computer Vision and Pattern Recognition, Decoding methods, Multiview Video Coding, Mathematics, Video Coding
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