Abstract
In this paper, a novel macroblock-based frequency selective weighting scalable video coding (MBFSW-SVC) algorithm is investigated by exploring the characteristics of the human visual system (HVS) in SVC H.264/AVC for improving the coding efficiency. Compared with previous SVC schemes, the MBFSW-SVC can extend the quality layer with different frequency weighting for each MB according to the size of region of interests. For reasonable adaptation of the frequency weighting into the quality layer extension, the spatial context characteristics and the motion activities in each picture are taken into account. The experiment results show that the proposed scheme can improve the coding performance up to a 10-20% reduction of the bit rate with almost the same subjective video quality. In particular, the subjective quality is significantly improved in lower scalable quality layers with a small number of the encoding bit budget.
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.
