With these fixed, the codec produces identical results regardless of
what literal values are used for the enum members in BLOCK_SIZE_*.

Change-Id: I26db8e08019b58ba432af1f0950ebe6b0eb4ad8c

The resulting values are never used.

Change-Id: I688caf30da9aab87aa280cce913eda4f33172293

Change-Id: I0d12f9ef9d960df0172a1377f8e5236eb6d90492

Merge various super_block_yrd and super_block_uvrd versions into one
common function that works for all sizes. Make transform size selection
size-agnostic also. This fixes a slight bug in the intra UV superblock
code where it used the wrong transform size for txsz > 8x8, and stores
the txsz selection for superblocks properly (instead of forgetting it).
Lastly, it removes the trellis search that was done for 16x16 intra
predictors, since trellis is relatively expensive and should thus only
be done after RD mode selection.

Gives basically identical results on derf (+0.009%).

Change-Id: If4485c6f0a0fe4038b3172f7a238477c35a6f8d3

The strategy to run fast loop filter picking for encoder speed-up
should be revisited at a later stage.

Change-Id: I3b75e06d767cff41be952a42e63b3292f4eab996

Merge sb32x32 and sb64x64 functions; allow for rectangular sizes. Code
gives identical encoder results before and after. There are a few
macros for rectangular block sizes under the sbsegment experiment; this
experiment is not yet functional and should not yet be used.

Change-Id: I71f93b5d2a1596e99a6f01f29c3f0a456694d728

Renaming Y1dequant to y_dequant, UVdequant to uv_dequant, QIndex to qindex.

Change-Id: I1c356e5f886deb3f8807dc212de9799b55b09d58

Lower case variable names, less code.

Change-Id: I1abc8f592ad2343ab5c76fe2d16262741a4a894a

Clamp only the motion vectors inferred from neighboring reference
macroblocks. The motion vectors obtained through motion search in
NEWMV mode are constrained during the search process, which allows
a relatively larger referencing region than the inferred mvs.
Hence further clamping the best mv provided by the motion search may
affect the efficacy of NEWMV mode.

Synchronized the decoding process. The decoded mvs in NEWMV modes
should be guaranteed to fit in the effective range. Put a mv range
clamping function there for security purpose.

This improves the coding performance of high motion sequences, e.g.,
derf set:
foreman 0.233%
husky   0.175%
icd     0.135%
mother_daughter 0.337%
pamphlet        0.561%

stdhd set:
blue_sky 0.408%
city     0.455%
also saw sunflower goes down by -0.469%.

Change-Id: I3fcbba669e56dab779857a8126a91b926e899cb5

This is a VP8-only feature (part of profile 3) that is unsupported in
VP9.

Change-Id: I78016eede8d9c834d44d4c517f3e8b8fc2a378b1

Change-Id: Id0c2e44daa936f1d6fb76469fd1bd72a4d7c19fd

Continue migrating data from BLOCKD/MACROBLOCKD to the per-plane
structures.

Change-Id: Ibbfa68d6da438d32dcbe8df68245ee28b0a2fa2c

Start grouping data per-plane, as part of refactoring to support
additional planes, and chroma planes with other-than 4:2:0
subsampling.

Change-Id: Idb76a0e23ab239180c818025bae1f36f1608bb23

so it is configurable to faciliate testings

Change-Id: I247b62736c3a08ec2934793959d1ae605a05efa3

Fixes an indexing bug. Looks like the bug has been there for a while.

Change-Id: I9fc04b0c30754bcb47366ad94a08112925600c4d

This function expects real Q values as inputs
not index values.

The use-age her impacts the Q chosen for force key
frames. Though this is a bug fix I have not yet verified
whether following the bug fix the q multiplier value used is
correct.

Change-Id: I49f6da894d90baeb1e86c820c335f02dc80d3b66

Took vp9_setup_scale_factors_for_frame() out from
vp9_setup_interp_filters(), so that it is only called once per
frame instead of per macroblock. Decoder tests showed a 1.5%
performance gain.

Change-Id: I770cb09eb2140ab85132f82aed388ac0bdd3a0aa

Renaming sb32_coded to prob_sb32_coded and sb64_coded to prob_sb64_coded.

Change-Id: I6de5cad00a57c3e066d53467f8c38cb6073dce11

Using clamp and MIN/MAX functions instead of plain C code. Lower case
variable names. Removing redundant parenthesis.

Change-Id: Ibf7cc5fbe4fbdb5029049a599af71534176e6f42

Adding multiple16 function, removing redundant code, better formatting.

Change-Id: I50195b78ac8ab803e3d05c8fb05a7ca134fab386

We used to calculate SSIM only over the postproc buffer, whereas we
calculate PSNR for both. Compared to postproc-SSIM, this is about 0.3%
higher for derf, 1.4% lower for hd and 0.5% lower for stdhd, although
it is highly variable on a per-clip basis.

Change-Id: I8dd491f0f5b4201dedfb15d288c854d5d4caa10f

The patch adds the flexibility to use standard EOB based coding
on smaller block sizes and nzc based coding on larger blocksizes.
The tx-sizes that use nzc based coding and those that use EOB based
coding are controlled by a function get_nzc_used().
By default, this function uses nzc based coding for 16x16 and 32x32
transform blocks, which seem to bridge the performance gap
substantially.

All sets are now lower by 0.5% to 0.7%, as opposed to ~1.8% before.

Change-Id: I06abed3df57b52d241ea1f51b0d571c71e38fd0b

This fixes uninitialized reads in the trellis, and probably makes the
trellis do something again.

Change-Id: Ifac8dae9aa77574bde0954a71d4571c5c556df3c

This threshold effectively limits the amount of motion
from one end of a GF/ARF group to the other.
This patch makes the threshold depend on image size.

Change-Id: Id45d1d7bced815f86ddd037be53164894b00b82f

Crash fix only. No functional change or testing.

Change-Id: I0c6d114d024c29fc11ae61666f5938f11b01dd6a

Almost all arguments for vp9_build_inter32x32_predictors_sb and
vp9_build_inter64x64_predictors_sb can be deduced from the first macroblock
argument.

Change-Id: I5d477a607586d05698d5b3b9b9bc03891dd3fe83

Removing redundant code, lower case variable names, better indentation,
better parameter names, adding const to readonly parameters.

Change-Id: Ibfdee00f60316fdc5b3f024028c7aaa76a627483

Change-Id: I4a3a9eb9f9d17218a0f0d7e148123d34dae879c2

Adds an experiment to use a weighted prediction of two INTER
predictors, where the weight is one of (1/4, 3/4), (3/8, 5/8),
(1/2, 1/2), (5/8, 3/8) or (3/4, 1/4), and is chosen implicitly
based on consistency of the predictors to the already
reconstructed pixels to the top and left of the current macroblock
or superblock.

Currently the weighting is not applied to SPLITMV modes, which
default to the usual (1/2, 1/2) weighting. However the code is in
place controlled by a macro. The same weighting is used for Y and
UV components, where the weight is derived from analyzing the Y
component only.

Results (over compound inter-intra experiment)
derf: +0.18%
yt: +0.34%
hd: +0.49%
stdhd: +0.23%

The experiment suggests bigger benefit for explicitly signaled weights.

Change-Id: I5438539ff4485c5752874cd1eb078ff14bf5235a

These are mostly just for experimental purposes. I saw small gains (in
the 0.1% range) when playing with this on derf.

Change-Id: Ib21eed477bbb46bddcd73b21c5c708a5b46abedc

Now that the first AC coefficient in both directions use the same DC
as their context, there no longer is a purpose in letting both have
their own band. Merging these two bands allows us to split bands for
some of the very high-frequency AC bands.

In addition, I'm redoing the banding for the 1D-ADST col/row scans. I
don't think the old banding made any sense at all (it merged the last
coefficient of the first row/col in the same band as the first two of
the second row/col), which was clearly an oversight from the band being
applied in scan-order (rather than in their actual position). Now,
coefficients at the same position will be in the same band, regardless
what scan order is used. I think this makes most sense for the purpose
of banding, which is basically "predict energy for this coefficient
depending on the energy of context coefficients" (i.e. pt).

After full re-training, together with previous patch, derf gains about
1.2-1.3%, and hd/stdhd gain about 0.9-1.0%.

Change-Id: I7a0cc12ba724e88b278034113cb4adaaebf87e0c

Pearson correlation for above or left is significantly higher than for
previous-in-scan-order (absolute values depend on position in scan, but
in general, we gain about 0.1-0.2 by using either above or left; using
both basically just makes this even better). For eob branch skipping,
we continue to use the previous token in scan order.

This helps about 0.9% on derf after re-training on a limited data set.
Full re-training and results on larger-resolution clips are pending.

Note that this commit breaks trellis, so we can probably get further
gains out of it by fixing trellis at some later point.

Change-Id: Iead68e296fc3a105cca746b5e3da9555d6010cfe

Lower case variable names, declaration and initialization on the same line,
removing redundant casts to double.

Change-Id: I7ea3905bed827aa6faac11a78401b85e448b57f9

Adds a per-frame, strength adjustable, in loop deringing filter. Uses
the existing vp9_post_proc_down_and_across 5 tap thresholded blur
code, with a brute force search for the threshold.

Results almost strictly positive on the YT HD set, either having no
effect or helping PSNR in the range of 1-3% (overall average 0.8%).
Results more mixed for the CIF set, (-0.5 min, 1.4 max, 0.1 avg).
This has an almost strictly negative impact to SSIM, so examining a
different filter or a more balanced search heuristic is in order.

Other test set results pending.

Change-Id: I5ca6ee8fe292dfa3f2eab7f65332423fa1710b58

Replaces the default tables for single coefficient magnitudes with
those obtained from an appropriate distribution. The EOB node
is left unchanged. The model is represeted as a 256-size codebook
where the index corresponds to the probability of the Zero or the
One node. Two variations are implemented corresponding to whether
the Zero node or the One-node is used as the peg. The main advantage
is that the default prob tables will become considerably smaller and
manageable. Besides there is substantially less risk of over-fitting
for a training set.

Various distributions are tried and the one that gives the best
results is the family of Generalized Gaussian distributions with
shape parameter 0.75. The results are within about 0.2% of fully
trained tables for the Zero peg variant, and within 0.1% of the
One peg variant.

The forward updates are optionally (controlled by a macro)
model-based, i.e. restricted to only convey probabilities from the
codebook. Backward updates can also be optionally (controlled by
another macro) model-based, but is turned off by default. Currently
model-based forward updates work about the same as unconstrained
updates, but there is a drop in performance with backward-updates
being model based.

The model based approach also allows the probabilities for the key
frames to be adjusted from the defaults based on the base_qindex of
the frame. Currently the adjustment function is a placeholder that
adjusts the prob of EOB and Zero node from the nominal one at higher
quality (lower qindex) or lower quality (higher qindex) ends of the
range. The rest of the probabilities are then derived based on the
model from the adjusted prob of zero.

Change-Id: Iae050f3cbcc6d8b3f204e8dc395ae47b3b2192c9

As things stand the zero bin mode boost is hurting somewhat.
In part this seems to be because the boost applied as is
interferes with the rd mode selection loop.

Average gains (derf 0.072, yt 0.243, ythd 0.179 std-hd 0.212%)

Change-Id: Icaecea3908d9a7352370e49b8fa822f2c2c49dc1

Change-Id: Ifa864e0acb253b238b03cdeed0fe5d6ee30a45d8

Renaming Width to width, Height to height and Version to version in
several structs and function signatures.

Change-Id: I084c3f7e747cb2ce3345aff27a3dff9b13a87543

Specifically changes to retain more precision
especially at low Q through to the point of use.

Change-Id: Ief5f010f2ca4daaabef49520e7edb46c35daf397

Change-Id: I9b4cb1e2ce6c6a99cffd473ff2fa7579bd318fcd