Saliency based image cropping
Authors: Ardizzone, E., Bruno, A. and Mazzola, G.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 8156 LNCS
Issue: PART 1
Pages: 773-782
eISSN: 1611-3349
ISBN: 9783642411809
ISSN: 0302-9743
DOI: 10.1007/978-3-642-41181-6_78
Abstract:Image cropping is a technique that is used to select the most relevant areas of an image, discarding the useless ones. Handmade selection, especially in case of large photo collections, is a time consuming task. Automatic image cropping techniques may help users, suggesting to them which part of the image is the most relevant, according to specific criteria. We suppose that the most visually salient areas of a photo are also the most relevant ones to the users. In this paper we present an extended version of our previously proposed method, to extract the saliency map of an image, which is based on the analysis of the distribution of the interest points of the image. Three different interest point extraction algorithms are evaluated within an automatic image cropping system, to study the effectiveness of the related saliency maps for this task. We furthermore compared our results with two state of the art saliency detection techniques. Tests have been conducted onto an online available dataset, made of 5000 images which have been manually labeled by 9 users. © 2013 Springer-Verlag.
Source: Scopus
Saliency Based Image Cropping
Authors: Ardizzone, E., Bruno, A. and Mazzola, G.
Journal: IMAGE ANALYSIS AND PROCESSING (ICIAP 2013), PT 1
Volume: 8156
Pages: 773-782
eISSN: 1611-3349
ISBN: 978-3-642-41180-9
ISSN: 0302-9743
Source: Web of Science (Lite)
Saliency based image cropping
Authors: Ardizzone, E., Bruno, A. and Mazzola, G.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 8156 LNCS
Pages: 773-782
DOI: 10.1007/978-3-642-41181-6_78
Source: Manual