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Titolo:
Saliency, scale and image description
Autore:
Kadir, T; Brady, M;
Indirizzi:
Univ Oxford, Dept Engn Sci, Robot Res Lab, Oxford OX1 3PJ, England Univ Oxford Oxford England OX1 3PJ obot Res Lab, Oxford OX1 3PJ, England
Titolo Testata:
INTERNATIONAL JOURNAL OF COMPUTER VISION
fascicolo: 2, volume: 45, anno: 2001,
pagine: 83 - 105
SICI:
0920-5691(200111)45:2<83:SSAID>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
VISION; SPACE;
Keywords:
visual saliency; scale selection; image content descriptors; feature extraction; salient features; image database; entropy; scale-space;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
41
Recensione:
Indirizzi per estratti:
Indirizzo: Kadir, T Univ Oxford, Dept Engn Sci, Robot Res Lab, Parks Rd, Oxford OX1 3PJ, England Univ Oxford Parks Rd Oxford England OX1 3PJ ord OX1 3PJ, England
Citazione:
T. Kadir e M. Brady, "Saliency, scale and image description", INT J COM V, 45(2), 2001, pp. 83-105

Abstract

Many computer vision problems can be considered to consist of two main tasks: the extraction of image content descriptions and their subsequent matching. The appropriate choice of type and level of description is of course task dependent, yet it is generally accepted that the low-level or so calledearly vision layers in the Human Visual System are context independent. This paper concentrates on the use of low-level approaches for solving computer vision problems and discusses three inter-related aspects of this: saliency; scale selection and content description. In contrast to many previous approaches which separate these tasks, we argue that these three aspectsare intrinsically related. Based on this observation, a multiscale algorithm for the selection of salient regions of an image is introduced and its application to matching type problems such as tracking, object recognition and image retrieval is demonstrated.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/04/20 alle ore 12:39:13