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Video Coding on Multi-core Graphics Processors

Video Coding on Multi-core Graphics Processors. Ngai -Man Cheung, Xiaopeng Fan, Oscar C. Au, and Man-Cheung Kung. IEEE SIGNAL PROCESSING MAGAZINE MARCH 2010. Outline. Introduction Motion estimation on GPUs GPU-based ME based on loop unrolling

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Video Coding on Multi-core Graphics Processors

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  1. Video Coding on Multi-core Graphics Processors Ngai-Man Cheung, Xiaopeng Fan, Oscar C. Au, and Man-Cheung Kung • IEEE SIGNAL PROCESSING MAGAZINE MARCH 2010

  2. Outline • Introduction • Motion estimation on GPUs • GPU-based ME based on loop unrolling • GPU-basedME based on rearranging the encoding order • RD-optimized intra-mode decision on GPUs • Motion compensation on GPUs • GPU-based fast motion estimation • Fast motion estimation • The GPU implementation using tiling • Experiments • My conclusion

  3. Introduction #1 • H.264 • Motion estimation [20][22] • Intra prediction [27] • Motion compensation [10]

  4. Introduction #2 • Challenges • Data dependency • Flow control instructions can degrade the performance • if, switch, do, for, while • Advantages • faster

  5. Motion estimation #1 • GPU-based ME based on loop unrolling [20] • SAD • Metric matching

  6. Motion estimation #2

  7. Motion estimation #3 2~14倍 • Two parts

  8. Motion estimation #4 • GPU-based ME based on rearranging the encoding order • RD-optimized ME 40倍

  9. Intra-mode #1 • RD-optimized intra-mode decision on GPUs [27] • http://www.camdemy.com/media/4371

  10. Intra-mode #2

  11. Intra-mode #3

  12. Intra-mode #4

  13. Motion compensation #1 • Motion compensation on GPUs [10]

  14. Motion compensation #2 4倍

  15. Fast motion estimation #1 • Simplified unsymmetrical multi-hexagon search [42] • Good tradeoff between computational complexity and coding efficiency. • minimizing the Lagrangian cost

  16. Fast motion estimation #2

  17. Fast motion estimation #3 • The GPU implementation using tiling • Neighboring block in another tile is unavailable.

  18. Experiments #1

  19. Experiments #2

  20. Experiments #3

  21. Experiments #4

  22. Experiments #5

  23. Conclusion • Tradeoff between speedup and performance is importance. • There seems to be no study on partitioning the encoding flow between CPUs and GPUs.

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