Şahin, Esra (2006) An efficient H.264 intra frame coder hardware design. [Thesis]
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Abstract
H.264 / MPEG-4 Part 10, a recently developed international standard for video compression, offers significantly better video compression efficiency than previous international standards. Since it is impossible to implement a real-time H.264 video coder using a state-of-the-art embedded processor alone, in this thesis, we developed an efficient FPGA-based H.264 intra frame coder hardware for real-time portable applications targeting level 2.0 of baseline profile. We first designed a high performance and low cost hardware architecture for realtime implementation of entropy coding algorithms, context adaptive variable length coding and exp-golomb coding, used in H.264 video coding standard. The hardware is implemented in Verilog HDL and verified with RTL simulations using Mentor Graphics Modelsim. We then designed a high performance and low cost hardware architecture for real-time implementation of intra prediction algorithm used in H.264 video coding standard. This hardware is also implemented in Verilog HDL and verified with RTL simulations using Mentor Graphics Modelsim. We then designed and implemented the top-level H.264 intra frame coder hardware. The hardware is implemented by integrating intra prediction, mode decision, transform-quant and entropy coding modules. The H.264 intra frame coder hardware is verified to be compliant with H.264 standard and it can code 35 CIF (352x288) frames per second. The hardware is first verified with RTL simulations using Mentor Graphics Modelsim. It is then verified to work at 71 MHz on a Xilinx Virtex II FPGA on an ARM Versatile Platform development board. The bitstream generated by the H.264 intra frame coder hardware for an input frame is successfully decoded by H.264 Joint Model (JM) reference software decoder and the decoded frame is displayed using a YUV Player tool for visual verification.
Item Type: | Thesis |
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Uncontrolled Keywords: | Video compression. -- Hardware. -- Coding. -- Code decoder. -- Prediction models |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | IC-Cataloging |
Date Deposited: | 14 Apr 2008 16:21 |
Last Modified: | 26 Apr 2022 09:47 |
URI: | https://research.sabanciuniv.edu/id/eprint/8375 |