This reverts commit 2113a831

Code clean up - removed rtcd

Change-Id: Id963ecf53c370b1d99484ef18d6befeed7e0c748

This allowed decoding from any key frame after skipping the frames
prior.

Change-Id: I096fccad5346d75ae50a017c94eb8d772a7e8b00

Change-Id: Iecb282fc89f9b5145ef31c5eda294ad42bc32a5d

Change-Id: I22aa803ffff330622cdb77277e7b196a9766f882

Results: derf (vanilla or +hybridtx) +0.2% and (+hybrid16x16
or +tx16x16) +0.7%-0.8%; HD (vanilla or +hybridtx) +0.1-0.2%
and (+hybrid16x16 or +tx16x16) +1.4%, STD/HD (vanilla or +hybridtx)
about even, and (+hybrid16x16 or +tx16x16) +0.8-1.0%.

Change-Id: I03899e2f7a64e725a863f32e55366035ba77aa62

A variety of issues related to tangling of various hybrid transform
experiments.

Change-Id: I84dac65ff513f8b024407760df55fffa95e198de

Separates the entropy coding context models for 4x4, 8x8 and 16x16
ADST variants.

There is a small improvement for HD (hd/std-hd) by about 0.1-0.2%.
Results on derf/yt are about the same, probably because there is not
enough statistics.

Results may improve somewhat once the initial probability tables are
updated for the hybrid transforms which is coming soon.

Change-Id: Ic7c0c62dacc68ef551054fdb575be8b8507d32a8

With this change, even if hybridtransform8x8 experiment is off,
8x8 dct is used for the I8x8 mode. However note that the gains
observed with the hybridtransform8x8 experiment will now be less,
since part of the gain is now merged in.

Change-Id: I9afb3880906fd0a1368a374041fc08efcf060c54

for MBs using i8x8 prediciton mode when hybridtransform8x8 is not
enabled in configure.

Change-Id: I3e3c8bb1c0261108c1c71213ca9557b0ce558036

Some cleanups on the transform size and type selection logic.

Change-Id: If2e9675459482242cf83b4f7de7634505e3f6dac

This reverts commit c5af82b7

There was a mismatch bug introduced by this patch. Hence reverting until it is fixed.

Some cleanups that will make it easier to maintain the code
and incorporate upcoming changes on  entropy coding for the
hybrid transforms.

Change-Id: I44bdba368f7b8bf203161d7a6d3b1fc2c9e21a8f

Adds a new experiment with redesigned/refactored motion vector entropy
coding. The patch also takes a first step towards separating the
integer and fractional pel components of a MV. However the fractional
pel encoding still depends on the integer pel part and so they are
not fully independent. Further experiments are in progress to see
how much they can be decoupled without affecting performance.
All components including entropy coding/decoding, costing for MV
search, forward updates and backward updates to probability tables,
have been implemented.

Results so far:
derf: +0.19%
std-hd: +0.28%
yt: +0.80%
hd: +1.15%

Patch: Simplifies the fractional pel models:
derf: +0.284%
std-hd: +0.289%
yt: +0.849%
hd: +1.254%

Patch: Some changes in the models, rebased.
derf: +0.330%
std-hd: +0.306%
yt: +0.816%
hd: +1.225%

Change-Id: I646b3c48f3587f4cc909639b78c3798da6402678

Enable ADST/DCT of dimension 16x16 for I16X16 modes. This change provides
benefits mostly for hd sequences.

Set up the framework for selectable transform dimension.

Also allowing quantization parameter threshold to control the use
of hybrid transform (This is currently disabled by setting threshold
always above the quantization parameter. Adaptive thresholding can
be built upon this, which will further improve the coding performance.)

The coding performance gains (with respect to the codec that has all
other configuration settings turned on) are

derf:   0.013
yt:     0.086
hd:     0.198
std-hd: 0.501

Change-Id: Ibb4263a61fc74e0b3c345f54d73e8c73552bf926

This commit adds a pick_sb_mode() function which selects the best 32x32
superblock coding mode. Then it selects the best per-MB modes, compares
the two and encodes that in the bitstream.

The bitstream coding is rather simplistic right now. At the SB level,
we code a bit to indicate whether this block uses SB-coding (32x32
prediction) or MB-coding (anything else), and then we follow with the
actual modes. This could and should be modified in the future, but is
omitted from this commit because it will likely involve reorganizing
much more code rather than just adding SB coding, so it's better to let
that be judged on its own merits.

Gains on derf: about even, YT/HD: +0.75%, STD/HD: +1.5%.

Change-Id: Iae313a7cbd8f75b3c66d04a68b991cb096eaaba6

Change-Id: I01dd96da18fe22450bb372b10ba90eab52e29bdf

Resolved the decoder mismatch issue due to quantization parameter
threshold for hybrid transform coding. The macroblock dequantizer
initialization is moved to be performed before coefficient
detokenization, since the (de)tokenization is now dependent on the
macroblock level quantization parameter.

Change-Id: I443da4992ebb70ae4114750b2f1363c0c628580e

Change-Id: I4fceefe76b14bd38a358dc4356708f7981bab339

Using surrounding reconstructed pixels from left and above to select
best matching mv to use as reference motion vector for mv encoding.

Test results:
       AVGPSNR  GLBPSNR VPXSSIM
Derf:  1.107%   1.062%  0.992%
Std-hd:1.209%   1.176%  1.029%

Change-Id: I8f10e09ee6538c05df2fb9f069abcaf1edb3fca6

The forward and inverse hybrid transforms are now performed using
single function modules, where the dimension is sent as argument.

Added an inline function clip8b to clip the reconstruction pixels
into range of 0-255.

Change-Id: Id7d870b3e1aefc092721c80c0af6f641eb5f3747

This allows building on MountainLion as the 10.6 SDK has been
removed from the latest Xcode version (4.4 4F250). Also fix
all warnings for that build.

Change-Id: Ib70bca4a25295f13595f0d10ea9f0229631de5a4

Merged in the high_precision_mv experiment to make it easier
to work on new mv encoding strategies. Also removed
coef_update_probs3().

Change-Id: I82d3b0bb642419fe05dba82528bc9ba010e90924

Previouly, the decoding of mode and motion vector are done a per frame
basis followed by residue decoding and reconstuction. The commit added
the option to allow decoder to interleave the decoding of mode and mvs
with the residue decoding on a per MB basis.

Change-Id: Ia5316f4a7af9ba7f155c92b5a6fc97201b653571

Fixed the code review comments.

Under the htrans8x8 experiment the 8X8 DCT in the
I8X8 mode is replaced with a combination of 8X8 ADST and
DCT.

Overall coding gains with the htrans8x8 experiment are:
derf:   0.486
std-hd: 1.040
hd:     1.063
yt:     0.506

Note that part of the gain comes from bigger transforms
(8x8 instead of 4x4) and part comes from replacing the DCT
wth the ADST.

Change-Id: I92ca6bbfce11b4165d612b81d9adfad4d010c775

Set on all 16x16 intra/inter modes

Features:
- Butterfly fDCT/iDCT
- Loop filter does not filter internal edges with 16x16
- Optimize coefficient function
- Update coefficient probability function
- RD
- Entropy stats
- 16x16 is a config option

Have not tested with experiments.

hd:     2.60%
std-hd: 2.43%
yt:     1.32%
derf:   0.60%

Change-Id: I96fb090517c30c5da84bad4fae602c3ec0c58b1c

Apply 2D-DCT transform of dimension 8x8 to encode prediction
residuals of I8X8 mode.
Brought back block type 3 probability context model for 8x8 tokens,
which is used for the coefficients of Y blocks in I8x8 modes. The
coefficient costs estimate of I8X8 mode in rate-distortion is also
changed appropriately.
Performance results:
derf:   0.246
yt:     0.114
std-hd: 0.730
hd:     0.670

Change-Id: If1d970eeb4e1827c9f0d2c5b27d33089b347ea27

Merged the enhanced_interp experiment.
Found and fixed a bug in the include files framework, whereby
certain encoder files were still using the old INTERP_EXTEND
value of 3 instead of 4. The thresholds for mv range mcomp.c
need a small adjustment to prevent crashes.

The results are more or less unchanged.

Change-Id: Iac5008390f1efc97ce1102fbb5f8989c847fb579

Allows for swtiching/setting interpolation filters at the MB
level. A frame level flag indicates whether to use a specifc
filter for the entire frame or to signal the interpolation
filter for each MB. When switchable filters are used, the
encoder chooses between 8-tap and 8-tap sharp filters. The
code currently has options to explore other variations as well,
which will be cleaned up subsequently.

One issue with the framework is that encoding is slow. I
tried to do some tricks to speed things up but it is still slow.
Decoding speed should not be affected since the number of
filter taps remain unchanged.

With the current version, we are up 0.5% on derf on average but
some videos city/mobile improve by close to 4 and 2% respectively.
If we did a full-search by turning the SEARCH_BEST_FILTER flag
on, the results are somewhat better.

The framework can be combined with filtered prediction, and I
seek feedback regarding that.

Rebased.

Change-Id: I8f632cb2c111e76284140a2bd480945d6d42b77a

The following five experiments are merged:

newentropy
newupdate
adaptive_entropy (also includes a couple of parameter changes
                  that improves results a little
                  in common/entropymode.c and encoder/modecosts.c
                  that were not merged from the internal branch)
newintramodes
expanded_coef_context

Change-Id: I8a142a831786ee9dc936f22be1d42a8bced7d270

Adds ADST/DCT hybrid transform coding for Intra4x4 mode.
The ADST is applied to directions in which the boundary
pixels are used for prediction, while DCT applied to
directions without corresponding boundary prediction.

Adds enum TX_TYPE in b_mode_infor to indicate the transform
type used.

Make coding style consistent with google style.
Fixed the commented issues.

Experimental results in terms of bit-rate reduction:
derf:   0.731%
yt:     0.982%
std-hd: 0.459%
hd:     0.725%

Will be looking at 8x8 transforms next.

Change-Id: I46dbd7b80dbb3e8856e9c34fbc58cb3764a12fcf

Approximate the Google style guide[1] so that that there's a written
document to follow and tools to check compliance[2].

[1]: http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml
[2]: http://google-styleguide.googlecode.com/svn/trunk/cpplint/cpplint.py

Change-Id: Idf40e3d8dddcc72150f6af127b13e5dab838685f

Also use the 8x8 transform in the RD loop.

Change-Id: If1a25aa15d3f64e05c9a31875e309d8cd5bc812d

This commit adds lossless compression capability to the experimental
branch. The lossless experiment can be enabled using --enable-lossless
in configure. When the experiment is enabled, the encoder will use
lossless compression mode by command line option --lossless, and the
decoder automatically recognizes a losslessly encoded clip and decodes
accordingly.

To achieve the lossless coding, this commit has changed the following:
    1. To encode at lossless mode, encoder forces the use of unit
quantizer, i.e, Q 0, where effective quantization is 1. Encoder also
disables the usage of 8x8 transform and allows only 4x4 transform;
    2. At Q 0, the first order 4x4  DCT/IDCT have been switched over
to a pair of forward and inverse Walsh-Hadamard Transform
(http://goo.gl/EIsfy),  with proper scaling applied to match the range
of the original 4x4 DCT/IDCT pair;
    3. At Q 0, the second order remains to use the previous
walsh-hadamard transform pair. However, to maintain the reversibility
in second order transform at Q 0, scaling down is applied to first
order DC coefficients prior to forward transform, and scaling up is
applied to the second order output prior to quantization. Symmetric
upscaling and downscaling are added around inverse second order
transform;
    4. At lossless mode, encoder also disables a number of minor
features to ensure no loss is introduced, these features includes:
        a. Trellis quantization optimization
        b. Loop filtering
        c. Aggressive zero-binning, rounding and zero-bin boosting
        d. Mode based zero-bin boosting

Lossless coding test was performed on all clips within the derf set,
to verify that the commit has achieved lossless compression for all
clips. The average compression ratio is around 2.57 to 1.
(http://goo.gl/dEShs)

Change-Id: Ia3aba7dd09df40dd590f93b9aba134defbc64e34

Incorporates mv_ref, mbsplit and second_mv into the adaptive
entropy framework. The mv_ref framework has been modified from
before.

Adds some clean-ups and fixes.

Results with the adaptive entropy experiment are currently up by
+1.93% on derf; +2.33% std-hd and +1.87% yt-hd.

Fixed a nasty intermittent bug.

Change-Id: I4b1ac9f9483b48432597595195bfec05f31d1e39

Change-Id: I883b4f63559c1cf66a25016e946b1b1ae98a20da

This patch incorporates adaptive entropy coding of coefficient tokens,
and mode/mv information based on distributions encountered in a frame.
Specifically, there is an initial forward update to the probabilities
in the bitstream as before for coding the symbols in the frame, however
at the end of decoding each frame, the forward update to the
probabilities is reverted and instead the probabilities are updated
towards the actual distributions encountered within the frame.
The amount of update is weighted by the number of hits within each
context.

Results on derf/hd/std-hd are all up by 1.6%.

On derf, the most of the gains come from coefficients, however for the
hd and std-hd sets, the most of the gains come from the mode/mv
information updates.

Change-Id: I708c0e11fdacafee04940fe7ae159ba6844005fd

This commit is to remove two arrays, which contain the probabilities
of how likely each probability in coef_probs table is updated. The
commit changed to use a fixed number "252".

Surprisedly, the overall impact on quality is close to zero, which
basically says the two big static arrays are not helpful at all.
derf: -0.016%, -0.020%
std-hd: 0.000%, -0.013%
yt: -0.022%, +0.007%
yt-hd: -0.038%, +0.034%

Change-Id: Ifee94d28a37dcab4f1d2b994bd5b07575be42b72

Also includes some clean ups and refactoring.

Rebased.

Change-Id: I268c97fe325b4881103fe19f41ae818569e7ccf7

1. block types
There are only three types of blocks for 8x8 transformed MBs, i.e. Y
block with DC does not exist for 8x8 transformed MBs as all MB using
8x8 transform have 2nd order haar transform. This commit introduced
a new macro BLOCK_TYPES_8X8 to reflect such fact.

2. context counters
This commit also fixed the mixed of context_counters between 4x4 and
8x8 transformed MBs. The mixed use of the counters leads me to think
the existing the context probabilities were not properly generated
from 8x8 transformed MBs.

3. redundant collecting in recoding
The commit also corrected the code that accumulates entropy stats by
making sure stats only collected for final packing, not during the
recode loop

Change-Id: I029f09f8f60bd0c3240cc392ff5c6d05435e322c