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diff --git a/media/libaom/src/av1/encoder/wedge_utils.c b/media/libaom/src/av1/encoder/wedge_utils.c
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+/*
+ * Copyright (c) 2016, Alliance for Open Media. All rights reserved
+ *
+ * This source code is subject to the terms of the BSD 2 Clause License and
+ * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
+ * was not distributed with this source code in the LICENSE file, you can
+ * obtain it at www.aomedia.org/license/software. If the Alliance for Open
+ * Media Patent License 1.0 was not distributed with this source code in the
+ * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
+ */
+
+#include <assert.h>
+
+#include "aom/aom_integer.h"
+
+#include "aom_ports/mem.h"
+
+#include "aom_dsp/aom_dsp_common.h"
+
+#include "av1/common/reconinter.h"
+
+#define MAX_MASK_VALUE (1 << WEDGE_WEIGHT_BITS)
+
+/**
+ * Computes SSE of a compound predictor constructed from 2 fundamental
+ * predictors p0 and p1 using blending with mask.
+ *
+ * r1:  Residuals of p1.
+ *      (source - p1)
+ * d:   Difference of p1 and p0.
+ *      (p1 - p0)
+ * m:   The blending mask
+ * N:   Number of pixels
+ *
+ * 'r1', 'd', and 'm' are contiguous.
+ *
+ * Computes:
+ *  Sum((MAX_MASK_VALUE*r1 + mask*d)**2), which is equivalent to:
+ *  Sum((mask*r0 + (MAX_MASK_VALUE-mask)*r1)**2),
+ *    where r0 is (source - p0), and r1 is (source - p1), which is in turn
+ *    is equivalent to:
+ *  Sum((source*MAX_MASK_VALUE - (mask*p0 + (MAX_MASK_VALUE-mask)*p1))**2),
+ *    which is the SSE of the residuals of the compound predictor scaled up by
+ *    MAX_MASK_VALUE**2.
+ *
+ * Note that we clamp the partial term in the loop to 16 bits signed. This is
+ * to facilitate equivalent SIMD implementation. It should have no effect if
+ * residuals are within 16 - WEDGE_WEIGHT_BITS (=10) signed, which always
+ * holds for 8 bit input, and on real input, it should hold practically always,
+ * as residuals are expected to be small.
+ */
+uint64_t av1_wedge_sse_from_residuals_c(const int16_t *r1, const int16_t *d,
+                                        const uint8_t *m, int N) {
+  uint64_t csse = 0;
+  int i;
+
+  for (i = 0; i < N; i++) {
+    int32_t t = MAX_MASK_VALUE * r1[i] + m[i] * d[i];
+    t = clamp(t, INT16_MIN, INT16_MAX);
+    csse += t * t;
+  }
+  return ROUND_POWER_OF_TWO(csse, 2 * WEDGE_WEIGHT_BITS);
+}
+
+/**
+ * Choose the mask sign for a compound predictor.
+ *
+ * ds:    Difference of the squares of the residuals.
+ *        r0**2 - r1**2
+ * m:     The blending mask
+ * N:     Number of pixels
+ * limit: Pre-computed threshold value.
+ *        MAX_MASK_VALUE/2 * (sum(r0**2) - sum(r1**2))
+ *
+ * 'ds' and 'm' are contiguous.
+ *
+ * Returns true if the negated mask has lower SSE compared to the positive
+ * mask. Computation is based on:
+ *  Sum((mask*r0 + (MAX_MASK_VALUE-mask)*r1)**2)
+ *                                     >
+ *                                Sum(((MAX_MASK_VALUE-mask)*r0 + mask*r1)**2)
+ *
+ *  which can be simplified to:
+ *
+ *  Sum(mask*(r0**2 - r1**2)) > MAX_MASK_VALUE/2 * (sum(r0**2) - sum(r1**2))
+ *
+ *  The right hand side does not depend on the mask, and needs to be passed as
+ *  the 'limit' parameter.
+ *
+ *  After pre-computing (r0**2 - r1**2), which is passed in as 'ds', the left
+ *  hand side is simply a scalar product between an int16_t and uint8_t vector.
+ *
+ *  Note that for efficiency, ds is stored on 16 bits. Real input residuals
+ *  being small, this should not cause a noticeable issue.
+ */
+int av1_wedge_sign_from_residuals_c(const int16_t *ds, const uint8_t *m, int N,
+                                    int64_t limit) {
+  int64_t acc = 0;
+
+  do {
+    acc += *ds++ * *m++;
+  } while (--N);
+
+  return acc > limit;
+}
+
+/**
+ * Compute the element-wise difference of the squares of 2 arrays.
+ *
+ * d: Difference of the squares of the inputs: a**2 - b**2
+ * a: First input array
+ * b: Second input array
+ * N: Number of elements
+ *
+ * 'd', 'a', and 'b' are contiguous.
+ *
+ * The result is saturated to signed 16 bits.
+ */
+void av1_wedge_compute_delta_squares_c(int16_t *d, const int16_t *a,
+                                       const int16_t *b, int N) {
+  int i;
+
+  for (i = 0; i < N; i++)
+    d[i] = clamp(a[i] * a[i] - b[i] * b[i], INT16_MIN, INT16_MAX);
+}