Region segregation and saliency using colour information
Saliency maps determine the likelihood that we focus on interesting areas of scenes or images. These maps can be built using several low-level image features, one of which having a particular relevance: colour. In this paper we present a new computational model, based only on colour features, which...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2009
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/133 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/133 |
| Resumo: | Saliency maps determine the likelihood that we focus on interesting areas of scenes or images. These maps can be built using several low-level image features, one of which having a particular relevance: colour. In this paper we present a new computational model, based only on colour features, which provides a sound basis for saliency maps for static images and video, plus region segregation and cues for local gist vision. |
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