Abstract / truncated to 115 words (read the full abstract)

Consciously or unconsciously, humans always pay attention to a wide variety of stimuli. Attention is part of daily life and it is the first step to understanding. The proposed thesis deals with a computational approach to the human attentional mechanism and with its possible applications mainly in the field of computer vision. In a first stage, the text introduces a rarity-based three-level attention model handling monodimensional signals as well as images or video sequences. The concept of attention is defined as the transformation of a huge acquired unstructured data set into a smaller structured one while preserving the information: the attentional mechanism turns rough data into intelligence. Afterwards, several applications are described in the fields ...

Information

Author
Mancas, Matei
Institution
Universite de Mons
Supervisor
Publication Year
2007
Upload Date
Feb. 16, 2010

First few pages / click to enlarge

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