Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos

Buso, Vincent; González Díaz, Iván; Benois-Pineau, Jenny

Publication:
Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos

dc.affiliation.dpto	UC3M. Departamento de Teoría de la Señal y Comunicaciones	es
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Procesado Multimedia	es
dc.contributor.author	Buso, Vincent
dc.contributor.author	González Díaz, Iván
dc.contributor.author	Benois-Pineau, Jenny
dc.contributor.funder	European Commission	en
dc.date.accessioned	2021-04-21T09:44:38Z
dc.date.available	2021-04-21T09:44:38Z
dc.date.issued	2015-11
dc.description.abstract	We propose a new top down probabilistic saliency model for egocentric video content. It aims to predict top-down visual attention maps focused on manipulated objects, that are then used for psycho-visual weighting of features in the problem of manipulated object recognition. The model is probabilistically defined using both global and local appearance features extracted from automatically segmented arm areas and objects. A psycho-visual experiment has been conducted in a guided framework that compares our proposal and other popular state-of-the-art models with respect to human gaze fixations. The obtained results show that our approach outperforms several popular bottom-up saliency approaches in a well-known egocentric dataset Furthermore, an additional task-driven assessment for object recognition in egocentric video reveals that the proposed method improves the performance of several state-of-the-art techniques for object detection.	en
dc.format.extent	14
dc.identifier.bibliographicCitation	Buso, V., González-Díaz, I. & Benois-Pineau, J. (2015). Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos. Signal Processing: Image Communication, vol. 39, part B, pp. 418–431.	en
dc.identifier.doi	https://doi.org/10.1016/j.image.2015.05.006
dc.identifier.issn	0923-5965
dc.identifier.publicationfirstpage	418
dc.identifier.publicationissue	Part B
dc.identifier.publicationlastpage	431
dc.identifier.publicationtitle	Signal Processing: Image Communication	en
dc.identifier.publicationvolume	39
dc.identifier.uri	https://hdl.handle.net/10016/32442
dc.identifier.uxxi	AR/0000017605
dc.language.iso	eng
dc.publisher	Elsevier	en
dc.relation.projectID	info:eu-repo/grantAgreement/EC/FP7/288199
dc.rights	© 2015 Elsevier B.V.	en
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Telecomunicaciones	es
dc.subject.other	Saliency maps	en
dc.subject.other	Egocentric vision	en
dc.subject.other	Object recognition	en
dc.subject.other	Vision modelling	en
dc.subject.other	Image processing	en
dc.subject.other	Video processing	en
dc.title	Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos	en
dc.type	research article	*
dc.type.hasVersion	AM	*
dspace.entity.type	Publication