- 27 Mar, 2013 - 18 commits
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John Koleszar authored
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Dmitry Kovalev authored
Extracting setup_frame_size and update_frame_context functions. Introducing vp9_read_prob function as shortcut for (vp9_prob)vp9_read_literal(r, 8). Change-Id: Ia5c68fd725b2d1b9c5eb20f69cacb62361b5a3dd
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John Koleszar authored
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John Koleszar authored
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Yunqing Wang authored
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Yunqing Wang authored
Small modification of idct code. Change-Id: I5c4e3223944c68e4ccf762f6cf07c990250e4290
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John Koleszar authored
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John Koleszar authored
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Yunqing Wang authored
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John Koleszar authored
Restore ABI compatibility with the master branch. Change-Id: Ie9f6fdf536662bd87dfcf114d16f003422670763
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John Koleszar authored
Restore ABI compatibility with the master branch. Change-Id: Ic57e7e1de09ab33bd37990e52a63ba7c8f1432a4
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Yunqing Wang authored
Wrote sse2 version of vp9_short_idct_32x32 function. Compared to c version, the sse2 version is 5X faster. Change-Id: I071ab7378358346ab4d9c6e2980f713c3c209864
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John Koleszar authored
Pick up VP8 encryption, quantization changes, and some fixes to vpxenc Conflicts: test/decode_test_driver.cc test/decode_test_driver.h test/encode_test_driver.cc vp8/vp8cx.mk vpxdec.c vpxenc.c Change-Id: I9fbcc64808ead47e22f1f22501965cc7f0c4791c
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Ronald S. Bultje authored
This gains about 0.2% on derf, 0.1% on hd and 0.4% on stdhd. I can put this under an experimental flag if wanted, just trying to get my patch queue in shape. Change-Id: Ibe1a30fe0e0b07bec4802e0f3ff0ba22e505f576
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Ronald S. Bultje authored
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Ronald S. Bultje authored
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Ronald S. Bultje authored
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Ronald S. Bultje authored
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- 26 Mar, 2013 - 16 commits
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Deb Mukherjee authored
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
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Ronald S. Bultje authored
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
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Ronald S. Bultje authored
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
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Ronald S. Bultje authored
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
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John Koleszar authored
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Dmitry Kovalev authored
Lower case variable names, declaration and initialization on the same line, removing redundant casts to double. Change-Id: I7ea3905bed827aa6faac11a78401b85e448b57f9
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Dmitry Kovalev authored
Lower case variable names, removing redundant variables, declaration and initialization on the same line. Change-Id: Ie0c6c95b14103990eb6a9d7784f8259c662e1251
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Dmitry Kovalev authored
Moving code from vp9_decode_frame function into setup_loopfilter and setup_segmentation functions. A little bit of cleanup. Change-Id: I2cce1813e4d7aeec701ccf752bf57e3bdd41b51c
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John Koleszar authored
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John Koleszar authored
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John Koleszar authored
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John Koleszar authored
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John Koleszar authored
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
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Deb Mukherjee authored
Fixes an issue with model based update that got into the original patch that was merged. Change-Id: Ie42d3d0aff2e48cd187d96664dbd3e9d6d3ac22f
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Deb Mukherjee authored
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Deb Mukherjee authored
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
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- 25 Mar, 2013 - 2 commits
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Dmitry Kovalev authored
Fixing function arguments alignment, reusing MIN/MAX and clamp functions. Change-Id: I87dd5a40ffb65b521b8abbf0fccf2f50552c5309
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Dmitry Kovalev authored
Lower case variable names, code simplification by using already defined clamp and read_le16 functions. Change-Id: I8fd544365bd8d1daed86d7b2ae0843e4ef80df08
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- 22 Mar, 2013 - 4 commits
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Dmitry Kovalev authored
Changing 0x00 ('') fourcc byte to 0x30 ('0'). For VP8 from 0x00385056 to 0x30385056, for VP9 from 0x00395056 to 0x30395056. Change-Id: I26b1b603c20dd41f7aeabf8cd7893dfd5b1c8b59
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Yunqing Wang authored
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Paul Wilkins authored
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Paul Wilkins authored
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