Sentence examples for a sad value from inspiring English sources

Ismail [9] proposed a dynamic early stop search termination (DESST) by considering a SAD value of an initial search center (ISC) of a current block and the average SAD values of ISCs in all the previous coded blocks.

Hierarchical OBME/MC is conducted when a SAD value between two matched blocks is smaller than the threshold (6000).

However, although a contour is inside of the rectangle, if a SAD value is more than that for the contour, it is not certain that (d x, d y ) is less than 1 pixel.

The termination condition of Cond MinSad (or a SAD value for each contour) is simply the minimum one between SAD a,b)(0,1) and SAD a,b)(1,0) as follows: mathrm{Cond}_{MinSad}: T = text{MIN}left text{SAD}^{(a,b)}(1,0), text{SAD}^{(a,b)}(0,1 right) (5).

From Eq. (1), a SAD value at the integer search point (a, b) is as follows: begin{array}rcl@ text{SAD}^{(a,b)}(m,n) &=& sum_{ i,j in text{block}} |c i,j) - p(i+a,j+b)| &=& sum_{ i,j in text{block}} |m G^{H} (i,j) + mn(G^{H}(i,j+1) && -G^{H}(i,j)) + nG^{V}(i,j | end{array} (2) Fig. 1 Matching positions of a previous pixel in the current frame.

Usually, a condition of early search termination is to compare the sum of absolute difference (SAD) value of a current search point with the threshold value.

If the SAD value of a current integer search point is less than 1000, the current search point should be inside of contour A. Otherwise, the current integer search point is outside of contour A. In this way, the relative position of the current integer search point can be roughly predicted by comparing the SAD values of the current integer search point and contours.

Note that the corresponding block in the restricted search range (solid line) of the (t – 1) frame is selected by finding a block having the smallest SAD value between pixels in the target block and searched block by SAD m, n, M V j, M V i, t = ∑ j = 0 M ∑ i = 0 N | f t, j + Mm, i + Nn − f t − 1, j + Mm + M V j, i + Nn + M V i | (2).

Taking a 16×16 TB, for example, the SAD value is on average four times the SAD value of any of its four quadrants (i.e., 8×8 blocks).

The SAD value at candidate disparity d is obtained as the sum of the absolute difference of the two blocks from f R and f T at d units horizontal shift from each other.

If the SAD value is less than the threshold value, the current search point is considered as the minimum point, and the search is immediately stopped without examining the remaining search points.