Abstract
This paper presents a learning scheme for dictionaries of two-dimensional functions for matching pursuit applied in low-bitrate video coding. The motivation is to improve the coding performance of matching pursuit compression by adapting the structure of the dictionary functions to specific types of sequences. The proposed scheme is based on separable decomposition and vector quantization. The experiments with test video sequences prove that AVC/H.264 video encoder with the proposed variant of matching pursuit coding of interframe residual exhibits improved compression performance.
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.
