JCTVC-I0337: Improved high throughput coding method based on last position information

JCTVC-I0337: Improved high throughput coding method based on last position information Seung-Hwan Kim, Andrew Segall 1

HM6 – Level Coding • HM6: Level Coding throughput • Up to 16 context coded bins for significance map flags • Up to 8 context coded bins can be employed for greater_than_1 flags • Up to 1 context coded bins can be employed for greater_than_2 flags • Worst case throughput performance in a sub-block becomes 25bins/16pixels (1.56 bins/pixel) 2

HM6 – Level Coding • Our Proposal • Reduce the maximum number of context coded bins from 25 to 23 • Increase the number of context coded greater_than_1 flags when last position X/Y signals fewer than 16 significant coefficient in sub-block • Do not exceed bound of 23 context bins per sub-block • Do not exceed 8 greater_than_1 flags (consistent with current design) • Maximum # of greater_than_1 flags = min( 22 - # significant map flags, 8) 3

HM6 – Level Coding Note that the last sub-block is quite dominant in high-birate coding because TU=4x4 occurs frequently Draft Text 4

Results • Implemented the proposed method into HM 6.0 • Common Conditions  • AI: .05% • RA: .10% • LD: .08% 5

Results • Implemented the proposed method into HM 6.0 • Low QP  • AI: .01% • RA: .19% • LD: .19% 6

Conclusion • Conclusions • Improve high throughput performance (8%) • 1.562 bins/pixel  1.437 bins/pixel • Worst case throughput performance is efficiently handled • Employing the number of coded bins for significance map • Cross check by HHI (JCTVC-I0339) 7

JCTVC-I0337: Improved high throughput coding method based on last position information