10 February 2010 Automatic digital photo-book making system
Author Affiliations +
Abstract
The diversity of photo products has grown more than ever before. A group of photos are not only printed individually, but also can be arranged in specific order to tell a story, such as in a photo book, a calendar or a poster collage. Similar to making a traditional scrapbook, digital photo book tools allow the user to choose a book style/theme, layouts of pages, backgrounds and the way the pictures are arranged. This process is often time consuming to users, given the number of images and the choices of layout/background combinations. In this paper, we developed a system to automatically generate photo books with only a few initial selections required. The system utilizes time stamps, color indices, orientations and other image properties to best fit pictures into a final photo book. The common way of telling a story is to lay the pictures out in chronological order. If the pictures are proximate in time, they will coincide with each other and are often logically related. The pictures are naturally clustered along a time line. Breaks between clusters can be used as a guide to separate pages or spreads, thus, pictures that are logically related can stay close on the same page or spread. When people are making a photo book, it is helpful to start with chronologically grouped images, but time alone wont be enough to complete the process. Each page is limited by the number of layouts available. Many aesthetic rules also apply, such as, emphasis of preferred pictures, consistency of local image density throughout the whole book, matching a background to the content of the images, and the variety of adjacent page layouts. We developed an algorithm to group images onto pages under the constraints of aesthetic rules. We also apply content analysis based on the color and blurriness of each picture, to match backgrounds and to adjust page layouts. Some of our aesthetic rules are fixed and given by designers. Other aesthetic rules are statistic models trained by using customer photo book samples. We evaluate our algorithm with test photo sets, and ask participants both quantitative and qualitative questions for feedback. We have seen the improvement on the time it takes users to produce a photo book and on the satisfaction with the overall quality.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wiley Wang, Wiley Wang, Patrick Teo, Patrick Teo, Russ Muzzolini, Russ Muzzolini, } "Automatic digital photo-book making system", Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400R (10 February 2010); doi: 10.1117/12.838959; https://doi.org/10.1117/12.838959
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

Height distributions in opened finite signals
Proceedings of SPIE (May 31 1992)
Bayesian iterative binary filter design
Proceedings of SPIE (May 07 2001)
Ubiquitous picture-rich content representation
Proceedings of SPIE (February 10 2010)

Back to Top