Sentence examples for metrics in the evaluation of from inspiring English sources

The proposed metric shows better performances than traditional IQA metrics in the evaluation of synthesized stereo images from MVD video sequences.

Full-reference objective image quality assessment metrics, VSQA [12], and 3DswIM [13], have been proposed to improve the performances obtained by standard quality metrics in the evaluation of the DIBR-synthesized images.

After calculating the true, observed and corrected areas under the curves, decision errors were assessed using the metrics described in the Evaluation of bias correction section.

The same metrics used in the evaluation of the HMM-based classifier are also used in case of the Baseline classifier.

We focus on two important metrics in the evaluation: the utility of the aggregated data and the efficiency of the proposed scheme.

In the following section we describe the metrics for the evaluation of VS experiments used in our work.

As defined in the previous section, performance evaluation metrics have been classified as; offline metrics and online metrics for the evaluation of the real-time design and CDN deployment and operation phase, respectively.

Therefore, the development of metrics which can be used in the evaluation of key-frames summaries in different domains and 3D video formats is a very important area of video-summarisation related research.

Accuracy metrics have traditionally received the most attention in the evaluation of recommender systems [16].

Instrumental and model uncertainty contributions can strongly affect the performance of the ROC analysis especially in the evaluation of performance metrics such as Area Under ROC (AUC) and Optimal Operating Points.

We employ two metrics in the evaluation: recall and delay.