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Automatic creation of photo books from stories in social media

Automatic creation of photo books from stories in social media Automatic Creation of Photo Books from Stories in Social Media MOHAMAD RABBATH and PHILIPP SANDHAUS, OFFIS - Institute for Information Technology SUSANNE BOLL, University of Oldenburg Photos are a special way to tell stories of our best memories and moments. The representation of those photos in appealing physical photo books is highly appreciated by many people. Today, many photos are shared via social networking sites, where people upload their photos and share their stories with their friends. The members of social networks comment on each other ™s photos, add tags or descriptions and upload new photos of the same events to their albums. While the media of different personal events are available on the social network, there is no easy way to collect and bundle them into a story and print this story as a photo book. We propose an approach to automatically detect media elements that match a query (where, when, what, who) in the user ™s social network and intelligently arrange and compose them into a printable photo book. We combine content analysis of text and images to automatically and semi-automatically select photos of a speci c story. We calculate the probabilities of each two photos http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/2037676.2037684
Publisher site
See Article on Publisher Site

Abstract

Automatic Creation of Photo Books from Stories in Social Media MOHAMAD RABBATH and PHILIPP SANDHAUS, OFFIS - Institute for Information Technology SUSANNE BOLL, University of Oldenburg Photos are a special way to tell stories of our best memories and moments. The representation of those photos in appealing physical photo books is highly appreciated by many people. Today, many photos are shared via social networking sites, where people upload their photos and share their stories with their friends. The members of social networks comment on each other ™s photos, add tags or descriptions and upload new photos of the same events to their albums. While the media of different personal events are available on the social network, there is no easy way to collect and bundle them into a story and print this story as a photo book. We propose an approach to automatically detect media elements that match a query (where, when, what, who) in the user ™s social network and intelligently arrange and compose them into a printable photo book. We combine content analysis of text and images to automatically and semi-automatically select photos of a speci c story. We calculate the probabilities of each two photos

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)Association for Computing Machinery

Published: Oct 1, 2011

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