Fusion of Multiple Visual Cues for Visual Saliency Extraction from Wearable Camera Settings with Strong Motion View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2012

AUTHORS

Hugo Boujut , Jenny Benois-Pineau , Remi Megret

ABSTRACT

In this paper we are interested in the saliency of visual content from wearable cameras. The subjective saliency in wearable video is studied first due to the psycho-visual experience on this content. Then the method for objective saliency map computation with a specific contribution based on geometrical saliency is proposed. Fusion of spatial, temporal and geometric cues in an objective saliency map is realized by the multiplicative operator. Resulting objective saliency maps are evaluated against the subjective maps with promising results, highlighting interesting performance of proposed geometric saliency model. More... »

PAGES

436-445

References to SciGraph publications

Book

TITLE

Computer Vision – ECCV 2012. Workshops and Demonstrations

ISBN

978-3-642-33884-7
978-3-642-33885-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-33885-4_44

DOI

http://dx.doi.org/10.1007/978-3-642-33885-4_44

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033555552


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