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This experiment has been adopted, we can simplify the code
by dropping the associated preprocessor conditionals.

Change-Id: Ic3438799335c6cd05f170302f49bd47e1f705c24

Change-Id: I103547d5bd4c9537cc0640a10d50f5c3cb6b7771

The experiment is fully adopted.

Change-Id: I6cc80a2acf0c93c13b0e36e6f4a2378fe5ce33c3

Change-Id: I86befaf7aa35f3f9b18618db1a27d191c1f7af36

Change-Id: Ic357ba36525101310fa612916e04b5d46b513d54

Change-Id: I545f126f6ba724ff4e41294353c4f11a47c6e853

This experiment has been adopted, we can simplify the code
by dropping the associated preprocessor conditionals.

Change-Id: I3e08eec385c40360e3934fa4f66f7c671e860517

Change-Id: I66a542da0c7b8fdb9ac2d4efee73aa62414c10f9

1. Train and init cdfs directly.
2. Use laplace prob estimates in aom_entropy_optimizer to avoid zero
probabilities.

Change-Id: I878fc0a306cbffe3eb51c5b86d5872459b6705c5

Change-Id: I523d9a89493895eb6a7af1df30a39f36ca9f159f

This experiment has been adopted, we can simplify the code
by dropping the associated preprocessor conditionals.

Change-Id: Idf52f49d953b422f7789247df966d238fc34299b

Change-Id: I70ebb6ada7ec4a975a8984a2e1ea2fa51664a786

This experiment has been abandonned for AV1.

Change-Id: Ib3bb07d62f2025ce50dc9bc1b3f9fc22488519a7

Change-Id: Ia7d69d8582f8c37ad4b413ccd7e24711b8c3e005

Adds various tables, scan patterns etc. for 16x64 and 64x16
transforms.
Also adds scan tables for previously missing 4:1 transforms
for intra.
Also adds missing CDFs for filterintra with tx64x64.

Change-Id: I8b16e749741f503f13319e7b7b9685128b723956

Multisymbol BR coding is simplified as follows.
1. Remove computation of level counts by using a template of size 8;
2. Context is derived by using a template of size 3.
3. lps and eob probabilities are trained.
4. Share contexts between TX_16X16 and above.

The number of probability values used in BR coding are reduced from 1152 to 378.

Change-Id: I0419127e871f9e566c2489aa4b1825c5364aec5a

Change-Id: I496c2a83b227ec88a6cd59a4c227b59eeeb0fc86

The change makes the entropy context for transforms use
the same mechanism as with and without lv_map.
For the non-lv-map case the context is now based on the
the larger transform dim for 2:1 rect transforms. The context
is now the average for 4:1 rect transforms for both lv-map and
non-lv-map cases.
There is one small fix for level map for getting the correct
rate when skip is set.

BDRATE: lowres, 30 frames, speed 1: -0.15% gain for the
non-lv-map case on the baseline.

Change-Id: I06a583d33bef68202d72a88e077f8d31cc5e7fe4

This experiment has been abandonned for AV1.

Change-Id: I83fb51a17d67df6713308665d2626c232376d25a

At eob-1, coefficient must be non-zero. As such, this CL changes the
alphabet for base levels at eob-1 from size 4 to size 3. Minor
performance improvement is observed. In addition, changes in 33462 made
by Ola Hugosson were also incorporated.

Now with trained initial probability distributions.

Change-Id: Id6b5d0908b5ff186ed88ab0733ce7cc0c4a468d5

The EOB coefficient cannot be 0 and for that reason it has special base_cdf contexts.
Before this commit there was two contexts (DC and AC). This commit adds two additional
contexts to separate the AC into 3 bands (i<=N/8, i<=N/4, i<=N/2).

Change-Id: If088b20fd891920b7ea7fc988d29bf6d86d93bfc

This experiment has been adopted, we can simplify the code
by dropping the associated preprocessor conditionals.

Change-Id: I6ac62c2825eabcba8f854cfa25c84638d9a73872

Remove the previous experiment and now use the same name for a
simpler experiment that only enables 4:1 transforms for 4:1
partitions when ext_partition_types is on, and that which was
previously enabled with the USE_RECT_TX_EXT macro.

Change-Id: Iccc35744bd292abf3c187da6f23b787692d50296

The br_cdf and lps_cdf with a new 4-state symbol br_cdf.
The br symbol indicates whether the level is k, k+1, k+2 or >k+2
In the latter case, a new br symbol is read. Up to 4 br symbols are
read which will reach level 14 at most. Levels greater than 14 are
golomb coded.

The adapted symbol count is reduced further by this commit.
E.g. for the I-frame of ducks_take_off at cq=12, the number of adapted symbols
is reduced from 4.27M to 3.85M. About 10% reduction.

Gains seems about neutral on a limitied subset.

Change-Id: I294234dbd63fb0fa26aef297a371cba80bd67383

This experiment modifies lv_map to make use of multi symbol.

Replace the nz_map and coeff_base binary CDF with a new multi-symbol
CDF of size 4. The new base_cdf indicates for each coeff if the level
is 0, 1, 2 or >2. Two new special contexts are added to be used for the
last coefficient (the EOB coeff). For the EOB coefficient we already know
that it is non-zero. We use one context for DC EOB and one for AC EOB
(this can potentially be refined more).

The new symbol is read/written by special bitreader/bitwriter functions.
Those functions reduce the probability precision from 15bit to 9bit before
the invocation of the arithmetic coding engine.

The adapted symbol count is significantly reduced by this experiment.
E.g. for the I-frame of ducks_take_off at cq=12, the number of adapted symbols
is reduced from 6.7M to 4.3M.

Change-Id: Ifc3927d81ad044fb9b0733f1e54d713cb71a1572

Change-Id: I96e5ff72caee8935efb7535afa3a534175bc425c

Per the codec WG call today, turn on Plan B for level map by default.

Change-Id: Iae885b38917cf79e4f0b290cc2d73ac28321710f

This experiment has been adopted, we can simplify the code
by dropping the associated preprocessor conditionals.

Change-Id: I02ed47186bbc32400ee9bfadda17659d859c0ef7

This CL simplifies context derivation for nz and base level flags in
level map.
1. Reduce SIG_COEF_CONTEXTS from 58 to 42.
2. NZ and base level flags share the same context offsets derived from a
template of size 5 (down from 7).

In limited runs, compression performance seems neutral if not better.
Encoding time for a key frame on a local linux machine is reduced by about 25% or more.

Change-Id: Ibd93b21c839154bc5ae26b993f9e66537cbf5942

Further reduce the context model size needed for base levels down
to 25 per transform size.

Change-Id: I9df4870d2b027cdb1356de0fc4d5bcc22155319e

Account for 1-D/2-D transform kernels for the eob modeling. To
maintain a smaller context cardinality, set the two 1-D transform
kernels in the same category. The difference in directions should
be largely covered by the scan order.

This and the previous CLs on nz_map context modeling together
improve the compression performance of level-map coefficient coding
system by 0.4% for lowres.

Change-Id: I8c4f03ca01ce3d248950d04bd1266f445b4227a0

Account for the rectangular transform block sizes in the non-zero
map context model.

Change-Id: I16cf21a4120c10c213df10950aeb4ef0ea40c477

This experiment has been adopted.

Change-Id: Ife4c18a59791268b7ac0de5a8a08e762a042cae2

Change-Id: Id377c68e30031ad4697ca1ba311487b803a8af4c

Change-Id: I5bff0a68602a89ce480fec049c8b2c4bce44f6bb

BUG=aomedia:907

Change-Id: Ibe367eb34596e2d34d8c059e083b083e702c225e

Change-Id: Ifa983d83a509cdfad78f6400df7d60c8f5b4f68c

Coefficient prob model was removed earlier in
https://aomedia-review.googlesource.com/c/aom/+/17062, so these were
unused and updating them was a wasted effort.

Change-Id: Ibd5fd975134de8eb3d363c500cb0f07c4658efd1

Observe 0.1% gain on lowres wo optimize_b before rebase

Change-Id: I0cb5b5e4be2563093efb2f6dfbefdce9b554e910

Replace the truncated geometric distribution model with the grouped
leaves structure for more efficient probability modeling.
Each group has its own Geometric distribution

This give us 0.2% gain on lowres

Change-Id: If5c73dd429bd5183a8aa81042f8f56937b1d8a6a