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FastMBAnalyze() for quick i16/i4 decision
The decision is based on the variance between DC values of each sub-4x4 block. This heuristic is rather ok for predicting whether the 2nd transform (intra-16) is going to help or not. The decision threshold varies with quality (=quantization). It's only used for -m 0 and -m 1, where no full RD-opt is performed. It actually makes these modes quite faster, with RD curve much closer to the -m 2 mode. Change-Id: I15f972db97ba4082cbd1dfd16bee3eb2eca701a8
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@ -185,6 +185,11 @@ typedef int (*VP8WMetric)(const uint8_t* pix, const uint8_t* ref,
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// 4 by 4 symmetric matrix.
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extern VP8WMetric VP8TDisto4x4, VP8TDisto16x16;
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// Compute the average (DC) of four 4x4 blocks.
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// Each sub-4x4 block #i sum is stored in dc[i].
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typedef void (*VP8MeanMetric)(const uint8_t* ref, uint32_t dc[4]);
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extern VP8MeanMetric VP8Mean16x4;
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typedef void (*VP8BlockCopy)(const uint8_t* src, uint8_t* dst);
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extern VP8BlockCopy VP8Copy4x4;
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extern VP8BlockCopy VP8Copy16x8;
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@ -551,6 +551,20 @@ static int SSE4x4(const uint8_t* a, const uint8_t* b) {
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return GetSSE(a, b, 4, 4);
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}
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static void Mean16x4(const uint8_t* ref, uint32_t dc[4]) {
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int k, x, y;
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for (k = 0; k < 4; ++k) {
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uint32_t avg = 0;
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for (y = 0; y < 4; ++y) {
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for (x = 0; x < 4; ++x) {
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avg += ref[x + y * BPS];
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}
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}
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dc[k] = avg;
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ref += 4; // go to next 4x4 block.
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}
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}
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//------------------------------------------------------------------------------
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// Texture distortion
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//
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@ -757,6 +771,7 @@ VP8Metric VP8SSE16x8;
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VP8Metric VP8SSE4x4;
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VP8WMetric VP8TDisto4x4;
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VP8WMetric VP8TDisto16x16;
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VP8MeanMetric VP8Mean16x4;
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VP8QuantizeBlock VP8EncQuantizeBlock;
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VP8Quantize2Blocks VP8EncQuantize2Blocks;
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VP8QuantizeBlockWHT VP8EncQuantizeBlockWHT;
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@ -795,6 +810,7 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8EncDspInit(void) {
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VP8SSE4x4 = SSE4x4;
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VP8TDisto4x4 = Disto4x4;
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VP8TDisto16x16 = Disto16x16;
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VP8Mean16x4 = Mean16x4;
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VP8EncQuantizeBlock = QuantizeBlock;
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VP8EncQuantize2Blocks = Quantize2Blocks;
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VP8EncQuantizeBlockWHT = QuantizeBlock;
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@ -1045,6 +1045,37 @@ static int SSE4x4(const uint8_t* a, const uint8_t* b) {
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return (tmp[3] + tmp[2] + tmp[1] + tmp[0]);
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}
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//------------------------------------------------------------------------------
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static void Mean16x4(const uint8_t* ref, uint32_t dc[4]) {
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const __m128i mask = _mm_set1_epi16(0x00ff);
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const __m128i a0 = _mm_loadu_si128((const __m128i*)&ref[BPS * 0]);
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const __m128i a1 = _mm_loadu_si128((const __m128i*)&ref[BPS * 1]);
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const __m128i a2 = _mm_loadu_si128((const __m128i*)&ref[BPS * 2]);
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const __m128i a3 = _mm_loadu_si128((const __m128i*)&ref[BPS * 3]);
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const __m128i b0 = _mm_srli_epi16(a0, 8); // hi byte
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const __m128i b1 = _mm_srli_epi16(a1, 8);
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const __m128i b2 = _mm_srli_epi16(a2, 8);
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const __m128i b3 = _mm_srli_epi16(a3, 8);
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const __m128i c0 = _mm_and_si128(a0, mask); // lo byte
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const __m128i c1 = _mm_and_si128(a1, mask);
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const __m128i c2 = _mm_and_si128(a2, mask);
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const __m128i c3 = _mm_and_si128(a3, mask);
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const __m128i d0 = _mm_add_epi32(b0, c0);
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const __m128i d1 = _mm_add_epi32(b1, c1);
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const __m128i d2 = _mm_add_epi32(b2, c2);
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const __m128i d3 = _mm_add_epi32(b3, c3);
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const __m128i e0 = _mm_add_epi32(d0, d1);
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const __m128i e1 = _mm_add_epi32(d2, d3);
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const __m128i f0 = _mm_add_epi32(e0, e1);
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uint16_t tmp[8];
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_mm_storeu_si128((__m128i*)tmp, f0);
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dc[0] = tmp[0] + tmp[1];
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dc[1] = tmp[2] + tmp[3];
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dc[2] = tmp[4] + tmp[5];
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dc[3] = tmp[6] + tmp[7];
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}
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//------------------------------------------------------------------------------
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// Texture distortion
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//
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@ -1331,6 +1362,7 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8EncDspInitSSE2(void) {
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VP8SSE4x4 = SSE4x4;
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VP8TDisto4x4 = Disto4x4;
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VP8TDisto16x16 = Disto16x16;
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VP8Mean16x4 = Mean16x4;
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}
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#else // !WEBP_USE_SSE2
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@ -262,6 +262,29 @@ static int MBAnalyzeBestIntra16Mode(VP8EncIterator* const it) {
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return best_alpha;
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}
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static int FastMBAnalyze(VP8EncIterator* const it) {
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// Empirical cut-off value, should be around 16 (~=block size). We use the
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// [8-17] range and favor intra4 at high quality, intra16 for low quality.
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const int q = (int)it->enc_->config_->quality;
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const uint32_t kThreshold = 8 + (17 - 8) * q / 100;
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int k;
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uint32_t dc[16], m, m2;
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for (k = 0; k < 16; k += 4) {
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VP8Mean16x4(it->yuv_in_ + Y_OFF_ENC + k * BPS, &dc[k]);
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}
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for (m = 0, m2 = 0, k = 0; k < 16; ++k) {
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m += dc[k];
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m2 += dc[k] * dc[k];
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}
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if (kThreshold * m2 < m * m) {
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VP8SetIntra16Mode(it, 0); // DC16
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} else {
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const uint8_t modes[16] = { 0 }; // DC4
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VP8SetIntra4Mode(it, modes);
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}
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return 0;
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}
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static int MBAnalyzeBestIntra4Mode(VP8EncIterator* const it,
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int best_alpha) {
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uint8_t modes[16];
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@ -339,14 +362,18 @@ static void MBAnalyze(VP8EncIterator* const it,
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VP8SetSkip(it, 0); // not skipped
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VP8SetSegment(it, 0); // default segment, spec-wise.
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if (enc->method_ <= 1) {
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best_alpha = FastMBAnalyze(it);
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} else {
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best_alpha = MBAnalyzeBestIntra16Mode(it);
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if (enc->method_ >= 5) {
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// We go and make a fast decision for intra4/intra16.
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// It's usually not a good and definitive pick, but helps seeding the stats
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// about level bit-cost.
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// It's usually not a good and definitive pick, but helps seeding the
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// stats about level bit-cost.
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// TODO(skal): improve criterion.
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best_alpha = MBAnalyzeBestIntra4Mode(it, best_alpha);
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}
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}
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best_uv_alpha = MBAnalyzeBestUVMode(it);
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// Final susceptibility mix
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@ -448,7 +475,7 @@ int VP8EncAnalyze(VP8Encoder* const enc) {
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const int do_segments =
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enc->config_->emulate_jpeg_size || // We need the complexity evaluation.
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(enc->segment_hdr_.num_segments_ > 1) ||
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(enc->method_ == 0); // for method 0, we need preds_[] to be filled.
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(enc->method_ <= 1); // for method 0 - 1, we need preds_[] to be filled.
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if (do_segments) {
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const int last_row = enc->mb_h_;
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// We give a little more than a half work to the main thread.
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@ -75,7 +75,7 @@ static void ResetBoundaryPredictions(VP8Encoder* const enc) {
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//-------------------+---+---+---+---+---+---+---+
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// dynamic proba | ~ | x | x | x | x | x | x |
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//-------------------+---+---+---+---+---+---+---+
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// fast mode analysis| | | | | x | x | x |
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// fast mode analysis|[x]|[x]| | | x | x | x |
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//-------------------+---+---+---+---+---+---+---+
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// basic rd-opt | | | | x | x | x | x |
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//-------------------+---+---+---+---+---+---+---+
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