Recommendation system for automatic design of magazine covers

Authors:
Ali Jahanian;Jerry Liu;Qian Lin;Daniel Tretter;Eamonn O'Brien-Strain;Seungyon Claire Lee;Nic Lyons;Jan Allebach
Affiliations:
Purdue University, West Lafayette, Indiana, USA;Hewlett Packard Laboratories, Palo Alto, California, USA;Hewlett Packard Laboratories, Palo Alto, California, USA;Hewlett Packard Laboratories, Palo Alto, California, USA;Hewlett Packard Laboratories, Palo Alto, California, USA;Hewlett-Packard Laboratories, Palo Alto, California, USA;Hewlett Packard Laboratories, Palo Alto, California, USA;Purdue University, West Lafayette, Indiana, USA
Venue:
Proceedings of the 2013 international conference on Intelligent user interfaces
Year:
2013

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Abstract

In this paper, we present a recommendation system for the automatic design of magazine covers. Our users are non-designer designers: individuals or small and medium businesses who want to design without hiring a professional designer while still wanting to create aesthetically compelling designs. Because a design should have a purpose, we suggest a number of semantic features to the user, e.g., "clean and clear," "dynamic and active," or "formal," to describe the color mood for the purpose of his/her design. Based on these high level features and a number of low level features, such as the complexity of the visual balance in a photo, our system selects the best photos from the user's album for his/her design. Our system then generates several alternative designs that can be rated by the user. Consequently, our system generates future designs based on the user's style. In this fashion, our system personalizes the designs of a user based on his/her preferences.