vp8_encode_inter_macroblock() is called in both pick_mb_modes() as
well as encode_sb(), thus the number of macroblocks in the counter
were twice as big as actual numbers. This doesn't affect output.

Change-Id: I6de8a996ee44d2f7f2080d8d2177dd7bc6207c93

Change-Id: Icac5b18e5c832681cea866679796a1dd4278cfb8

Change-Id: Ib6866e491994f6c7eeb6c2e5ecd1ff54cc187610

This allows CONFIG_SUPERBLOCKS experiment to almost compile succesfully,
except for the missing pick_sb_modes() function.

Change-Id: Ib2322f2aacdc371e8066f2eb4a8d761c40490b4d

Also use the 8x8 transform in the RD loop.

Change-Id: If1a25aa15d3f64e05c9a31875e309d8cd5bc812d

Change-Id: Ibfecf1fb0fcf51fb349746fec015b1a3e44a4530

Create a merge between the experimental development history and the
previously published snapshot.

Change-Id: If320df72a6bbefec53833626d08dbc9678be2d2d

Merge in the git history leading up to the first experimental
snapshot.

Change-Id: Ifbdbd5bdb585864b3f996c562ef38b6306731251

This is to avoid a rare encoder/decoder mismatch for MB using SPLITMV
mode. In decoder, the UV mv can be determined to need clamp, but the
flag is never set in encoder motion vector selection process, and the
clamp is not done in encoding in encoder.

Change-Id: I60520d3f790354c7855dadf03f0978ea9b77e2c0

Change-Id: Iff5ccf2400bcb7b78c7b70f289ea65c982efddd5

Change-Id: I6dd27a0ea661e6f10a55d7841021b66ae4fc72ae

Also factorize ACMRandom to acm_random.h.

Change-Id: I3b6eeb36fcbf7ae6dd3d2892bc40348f5c17982b

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

Also fix unit testing.

Change-Id: Iacdc6f1ec53388e093cda1c13e4379e83d4a6535

Added the ability to optionally filter the prediction data
when inter modes are selected (excludes SPLITMV, for now).

The mode selection loop considers both the filtered and
non-filtered prediction data when choosing mode. The filter
can be turned on/off at the frame-level, or signaled for
each MB.

Change-Id: I1b783c71d95a361ab36c761b07e8a6b06bc36822

Change-Id: I27c98025b2857e2911005a52dd57c46e2524e815

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: I6cbd4de96f9dcc783cef170bfd7652f6cbee36a2

Change-Id: I3582c64200eed3606a4b57a9f78624ec46041461

Change-Id: I45ea0369ad489080c2505269855a46ca1d3624f7

Change-Id: I883b4f63559c1cf66a25016e946b1b1ae98a20da

This was accidently disabled in 1fe85a35.

Change-Id: I09dbfecfe45b28dec75b27a627e3065f9c7dc8b2

Change-Id: I6802731a4d15feef5ce62993dc505ded55c40f7e

Change-Id: Iec81423e8e6c50acd9e10f69bc99ad0e9058517d

Change-Id: I97aa175346683184f9430d880593b291a563e04f

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

Updates idct/dequant mmx assembly to work with vpnext instead of vp8.

Also adds x86inc.asm

Change-Id: I6e147d5e89177ae449271e97e50d082eb11b078e

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

This commit added the ability to accumulate the coef stats across
different encodings using an intermediate binary stats files. The
accumulation happens only the binary stats file exists in current
directory. The encoder needs to be built with "ENTROPY_STATS" to
allow the output. The commit also fixed a few formating issues in
output stats file.

Change-Id: Ib1a41180aa554845cf51e4421a230b128a3a82b4