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A novel FPGA-based H.264/AVC intra prediction

Author

Listed:
  • Guo-yan Ren

    (Chongqing University of Science and Technology)

  • Jian-jun Li

    (University of Windsor)

Abstract

The advanced video compression standard H.264/AVC adopts Rate Distortion Optimization to enhance coding efficiency at the cost of a very high computational complexity. Intra Prediction part is the major processing bottleneck considering total time and power consumption. We therefore propose an efficient parallel processing structure for H.264/AVC 4 × 4 intra prediction. Unlike generic architectures utilizing serial processing with increased time and power consumption, a new processing order is introduced to reduce data dependencies between consecutively executed blocks within H.264/AVC intra prediction. Our experimental results show that the parallel execution of these blocks saves power consumption by up to 22.8% with slight increase in bit rate.

Suggested Citation

  • Guo-yan Ren & Jian-jun Li, 2011. "A novel FPGA-based H.264/AVC intra prediction," Fuzzy Information and Engineering, Springer, vol. 3(2), pages 183-191, June.
    • Handle: RePEc:spr:fuzinf:v:3:y:2011:i:2:d:10.1007_s12543-011-0076-7
    DOI: 10.1007/s12543-011-0076-7
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