Reconfigurable Transform Architecture for Multiple Video Codecs - Martuza, Muhammad Ali;Wahid, Khan
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This book presents a cost-shared architecture to compute multiple integer discrete cosine transform (Int-DCT) of four video codecs: AVS, VC-1, H.264/AVC and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized ''decompose and share'' algorithm to compute both 4x4 and 8x8 Int-DCT. The algorithm is later applied to the video codecs. The hardware share approach ensures maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost…mehr

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Produktbeschreibung
This book presents a cost-shared architecture to compute multiple integer discrete cosine transform (Int-DCT) of four video codecs: AVS, VC-1, H.264/AVC and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized ''decompose and share'' algorithm to compute both 4x4 and 8x8 Int-DCT. The algorithm is later applied to the video codecs. The hardware share approach ensures maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18um technology. The results show significant reduction in hardware cost and meet the requirements of real time video coding applications.
Autorenporträt
Muhammad A. Martuza pursued his B.Sc. in ETE from North South University, Bangladesh (2009) and M.Sc. in ECE from University of Saskatchewan (2012). He is now conducting research on thin film transistors at University of Waterloo as PhD candidate. His field of interests are nano-scale semiconductor device fabrication and real-time VLSI systems.