Sentence examples for benchmark video from inspiring English sources

We evaluate our results on several benchmark video sequences, both visually and using the Inter-frame Transformation Fidelity index (ITF).

First, we develop a novel recurrent convolutional architecture suitable for large-scale visual learning which is end-to-end trainable, and demonstrate the value of these models on benchmark video recognition tasks, image description and retrieval problems, and video narration challenges.

We tested our algorithm with several other benchmark video streams [16].

The requested video streams are randomly selected from the aforementioned four benchmark video streams.

This screenshot (taken from a benchmark video captured using the Windows 10 Game Bar) shows visual corruption on one of several AMD Radeon graphics cards.

The tested ten benchmark video sequences are Akiyo (CIF), Container (CIF), Mobile (CIF), Paris (CIF), Carphone (QCIF), Claire (QCIF), Coastguard (QCIF), Highway (QCIF), Miss-Amer.

The proposed system is experimentally compared to the standard motion detector for a wide range of benchmark videos.

We apply FIPIP to encode a set of benchmark videos under varying conditions and compare it with other popular intra-frame prediction methods.

In Table 3, we give the average running time of our approach and the others on the benchmark videos.

The results on object tracking have shown to be really competitive compared with other tracking approaches in benchmark videos.

The proposed threshold has been tested with various benchmark videos and compared with the existing thresholds to prove its usability.