Computational Attention: Modelisation and Application to Audio and Image Processing (2007)
Abstract / truncated to 115 words
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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