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Proceedings Paper

Multiple image thumbnailing
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Paper Abstract

We have designed a new self-adaptive image cropping algorithm that is able to detect several relevant regions in the image. These regions can then be sequentially proposed as thumbnails, to the user according to their relevance order, thus allowing the viewer to visualize the relevant image content and eventually to display or print only those regions in which he is more interested in. The algorithm exploits both visual and semantic information. Visual information is obtained by a visual attention model, while semantic information relates to the detection and recognition of particularly significant objects. In this work we concentrate our attention on the two common objects found in personal photos, such as face and skin regions. Examples are shown to illustrate the effectiveness of the proposed method.

Paper Details

Date Published: 19 January 2010
PDF: 9 pages
Proc. SPIE 7537, Digital Photography VI, 75370S (19 January 2010); doi: 10.1117/12.838624
Show Author Affiliations
Gianluigi Ciocca, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)


Published in SPIE Proceedings Vol. 7537:
Digital Photography VI
Francisco Imai; Nitin Sampat; Feng Xiao, Editor(s)

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