Sentence examples for the template frame from inspiring English sources

Again, the matching is basically executed by comparing the luminance values of pixels covering the effect in the template frame.

After the template frame is constructed, detecting all the transition effects for locating slow-motion replays can be done effectively.

The more processing units are considered when constructing the template, the better quality the template frame will be and the more execution time will be expected.

The LLR distance contrasts the fit score of a test frame with its best model against its fit score with the best model of the template frame, and it therefore compares the two frames indirectly through the models.

The frame with the largest number of matched pixels is selected as the template frame, and the luminance mean at these matched positions in the units will be calculated to form the template.

If the intra-coding rate of P frame is higher than this threshold, the matching of these DC frames with the template frame will be done to determine whether a transition effect happens here.

When the template frames are represented by GMM indices, the Euclidean and Mahalanobis distances are no longer suitable.

In general, n < < d, and hence storing the template frames in GMM indices requires a much smaller space than storing the feature frames for the Templates.

So far we have shown that representing the template frames by GMMs and using the local distance measures of LLR or KL significantly improved the accuracy performance over our HMM baselines, and the proposed methods are much more effective than the conventional template matching methods where the template frames use the original speech features.

We then use a GMM codebook {m1, m2, …, m N } that consists of the GMMs of the phonetic-decision-tree tied triphone states in the baseline HMMs to label the template frames, where N is the total number of GMMs from the HMM baseline.

The resulting representation of s* has a form similar to what is described in Section 3.1, with the difference that the best-fitting n GMMs of the baseline HMMs are used to label a frame in Section 3.1, but here the template frames that are aligned to a frame of the MDTS representative are used to select a set of l GMMs to relabel the frame of the representative.