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Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Novel data storage for H.264 motion compensation: system architecture and hardware implementation | Matei et al. EURASIP Journal on Image and Video Processing 2011 2011 21 http jivp.eurasipjournals.eom content 2011 1 21 D EURASIP Journal on Image and Video Processing a SpringerOpen Journal RESEARCH Open Access Novel data storage for H.264 motion compensation system architecture and hardware implementation 1 1 12 2 Elena Matei Christophe van Praet Johan Bauwelinck Paul Cautereels and Edith G de Lumley Abstract Quarter-pel q-pel motion compensation MC is one of the features of H.264 AVC that aids in attaining a much better compression factor than what was possible in preceding standards. The better performance however also brings higher requirements for computational complexity and memory access. This article describes a novel data storage and the associated addressing scheme together with the system architecture and FPGA implementation of H.264 q-pel MC. The proposed architecture is not only suitable for any H.264 standard block size but also for streams with different image sizes and frame rates. The hardware implementation of a stand alone H.264 q-pel MC on FPGA has shown speeds between 95.9 fps for HD1080p frames 229 fps for HD 720p and between 2502 and 12623 fps for CIF and QCIF formats. Keywords motion compensation quarter-pel address memory H.264 decoder FPGA 1 Introduction H.264.AVC 1 is one of the latest video coding standards which can save up to 45 of a stream s bit-rate compared with the previous standards. The coding efficiency is mainly the result of two new features variable block-size MC and quarter-pel q-pel interpolation accuracy. More precisely the H.264 standard proposes several partition sizes for each macroblock MB is a group of 16 X 16 pixels . In the inter-prediction approach each partitioned block takes as estimation a block in the reference frame that is positioned at integer half or quarter pixel location. This fine granularity provides better estimations and better residual compression. Unfortunately the better performance brings also .
