Visual Attention : from Bio-Inspired Modeling to Real-Time Implementation

For each image, the similarity scores of three runs were normalized and linear combined using weights 0.7, 0.2, and 0.1 for textual query, example image, and generated visual

Based on this, it is established that people use the combination of two approaches: the bottom-up approach, in which the direction of sight is determined by using relevant

Dans cette Section, nous avons pr´ esent´ e notre contribution ` a l’optimisation d’une m´ ethode d’extraction de caract´ eristiques.. L’algorithme initial est bas´ e sur

In images, we improved the matching of local descriptors, and presented a representation based on Hamming Embedding similarities amenable to classification.. In videos, we

In order to identify the most suitable approach to our object and/or pedestrian detection application for the autonomous vehicle (a drone in this study), we need to establish the

Finally, TSR system are generally developed for only one particular country regulation, while one of the originality of our system is to be modular enough to

Independently from our own attention model, we can see in table 1 that JPEG compression ratio of attentional maps seems to be a better complexity estimator than simple JPEG

The idea is to reduce false positives by tracking sign candidates (ROIs) and processing the association with the Transferable Belief Model.. An original detector extracts a set of