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Model of visual attention for video sequences

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Ordered resulting basis functions.
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Figure 3: Ordered resulting basis functions.

Mentions: It is shown that performing sparse learning codes on video sequences of natural scenes produces results with qualitatively similar spatio-temporal properties of simple receptive field of neurons. The basic functions are similar to those obtained by sparse learning, but in our model they have a particular order (Figure 3). The proposed framework was tested using neurobiological (event related potentials ERP's) and behavioral (eye tracking) data.


Model of visual attention for video sequences
Ordered resulting basis functions.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3313177&req=5

Figure 3: Ordered resulting basis functions.
Mentions: It is shown that performing sparse learning codes on video sequences of natural scenes produces results with qualitatively similar spatio-temporal properties of simple receptive field of neurons. The basic functions are similar to those obtained by sparse learning, but in our model they have a particular order (Figure 3). The proposed framework was tested using neurobiological (event related potentials ERP's) and behavioral (eye tracking) data.

View Article: PubMed Central - HTML

No MeSH data available.