Abstract
In this paper, a fast learning-based Coding Unit (CU) size selection method is presented for High Efficiency Video Coding (HEVC) intra prediction. Our analysis shows that non-normalized histogram of oriented gradient (n-HOG) can be used to select CU size. For each size of CU, n-HOGs of training sequences are clustered to construct a codebook offline. The optimum CU sizes are determined by comparing its n-HOG with the codebook. Experimental results show that the fast intra prediction CU selection scheme speeds up intra coding significantly with negligible increment of Bjontegaard Delta rate.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
