Based on human visual attention mechanisms, an automatic detection algorithm for infrared dim target is presented.
Another avenue for future work would be to explore visual attention mechanisms that operate on the images and investigate their role in meme generation tasks.
According to information processing theory, humans process stimuli, rather than merely responding, employing attention mechanisms such as working memory.
These additional mechanisms of bottleneck-control seem to have been what Broadbent thought of as the attention mechanisms.
This highlights the need for a broader theoretical framework incorporating inattentional blindness and overt and covert attention mechanisms.
Video object relevance metrics are presented taking into account the behaviour of the human visual system and the visual attention mechanisms.
We proposed a bottom-up SVA model to simulate the visual attention mechanisms of the human visual system with stereoscopic perception.
The spatial attention model can simulate the visual attention mechanisms well for some sequences with simple background, such as Champagne tower and Pantomime.
To do so, we employed a visual search paradigm as our primary task, allowing us to isolate impairments to both parallel and serial attention mechanisms.
For instance people have a very well developed attention mechanisms and memory for human faces and are very sensitive to facial expressions (Hugenberg and Wilson [2013]).
In addition, attention mechanisms are used by the service to build context from each word of the source text provided in order to decide which words are appropriate for generating the next target word.
