Abstract
In video coding, Random Access Points (RAPs) are inserted in a bitstream to support flexible tune-in but divide it into multiple independent Random Access Segments (RASs) that may have similar contents. To reduce redundancy between RASs, this letter proposes a novel Cross Random-access-point Referencing (CRR) structure to provide inter prediction for RAP pictures by using multiple External Reference Pictures (ERPs) across RAPs that are selected from preceding or following RASs other than the current RAS. With ERPs shared by multiple RASs, a crowdsourcing method is proposed to optimize the joint rate distortion costs of RASs and ERPs to generate an optimal set of ERPs. Content preparation and bitstream splicing processes supported by system environments are also designed to ensure random access functionality of CRR coded RASs. Simulation results show that CRR achieves significant coding gain compared to Versatile Video Coding (VVC), i.e., 12.00% on sequences in common test condition and 25.48% on long drama sequences.
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.
