Multiple image thumbnailing
Gianluigi Ciocca, Raimondo Schettini · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.