01641nas a2200157   4500008004100000245007800041210006900119260000900188300001400197490000600211520108700217653002201304653002401326100001601350856011701366       2009                        eng d00aImage-based technique to select visually salient pages in large documents0 aImagebased technique to select visually salient pages in large d  c2009  a313 - 3170 v73 aThe presentation of a book or a digital document is an important factor when designing the interface of a digital catalogue or an online bookstore. One way to attract readers and customers is to show a thumbnail or a preview of the book cover, a feature that can be extended to include a selection of the book's most appealing pages as well. If the number of documents handled by the system is large then the need to automatise the page selection task arises. This paper details an efficient and easily implementable image-based technique to choose a given number of pages to appear as thumbnails on a document list interface. The algorithm is based on a combination of rudimentary layout analysis and colour saliency computation in order to extract pages with attractive features such as large, colourful images and text elements. An arbitrary amount of spread can be injected in the selection process through an iterative filter function. A preliminary user study of the algorithm shows that its results are satisfying and provides insight as to how the technique can be improved.10aDigital documents10aImage data analysis1 aMatulic, F.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-77953245612&partnerID=40&md5=48492271587c1f8b79e6cc6f66f74599