Increase the minimum distance.
Reduces the overshoot somewhat on some clips,
small gain in avgPSNR (~0.1%) on ytlive set.
Change-Id: Id5ddde20c2907dbdb536e79542eff775019c142b
Move best index into the token state. Shrink it down to one byte. This
is more cache friendly (access are group together) and uses less total
memory.
Results in 4% fewer cycles in optimize_b().
Change-Id: I75db484fb3dc82f59928d54b659d79c80ee40452
This commit changes the call in vp9 encoder from vp9_deblock() to
vp9_post_proc_frame() to ensure the data structures used in the call
are properly allocated. This fixes an encoder crash when configured
with --enable-internal-stats.
Change-Id: I2393b336c0f566665336df4f1ba91c405eb56764
Allow usage of lookahead for VBR in real-time mode, for 1 pass vbr.
Current usage is for fast checking of future scene cuts/changes,
and adjusting rate control (gf interval and active_worst/target size).
Added unittests (datarate) for 1 pass vbr mode, with non-zero lag.
Added an experimental option to limit QP based on lookahead.
Overall positive gain in metrics on ytlive set:
avgPNSR/SSIM up on average ~1-3%; several clips up by 5, 7%.
Change-Id: I960d57dfc89de121c4824b9a9bf88d2814e74b56
This change eliminates redundant computation in the two stage
downscaling, which saves ~1% encoding time in 3-layer svc encoding.
Change-Id: Ib4b218811b68499a740af1f9b7b5a5445e28d671
Modify the gfu_boost and af_ratio setting based on the
average frame motion level.
Change only affects 1 pass vbr.
Metrics overall positive on ytlive set.
On average up by ~1%, several clips up by 2-4%.
Change-Id: Ic18c49eb2df74cb4986b63cdb11be36d86ab5e8d
Use the precise context to estimate the zero token cost in trellis
optimization process. This improves the speed 0 coding performance
by 0.15% for lowres and 0.1% for midres. It improves the speed 1
coding performance by 0.2% for midres and hdres.
Change-Id: I59c7c08702fc79dc4f8534b64ca594da909e2c91
This commit allows the inter prediction residual to use uniform
quantization followed by trellis coefficient optimization in
speed 0. It improves the coding performance by
lowres 0.79%
midres 1.07%
hdres 1.44%
Change-Id: I46ef8cfe042a4ccc7a0055515012cd6cbf5c9619
Move the operations that update the context buffers outside this
function. The coeff_cost() takes all input as const value and returns
the coefficient cost.
This makes preparation for the next coefficient optimization CLs.
Change-Id: I850eec6e5470b91ea84646ff26b9231b09f70a0c
