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Proceedings Paper

Faces from the web: automatic selection and composition of media for casual screen consumption and printed artwork
Author(s): Phil Cheatle; Darryl Greig; David Slatter
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Paper Abstract

Web image search engines facilitate the production of image sets in which faces appear. Many people enjoy producing and sharing media collections of this type and generating new images or video experiences. Skilled practitioners produce visually appealing artifacts from such collections but few users have the time or creative ability to do so. The problem is to automatically create an image or ambient experience which sustains interest. A full solution requires agreements with copyright holders and input from graphics designers. We address the underlying technical problems of extraction and composition. We describe an automatic system that identifies regions containing human faces in each image of an image set resulting from a web search. The face regions are composed into dynamically synthesized multilayer graphical backgrounds. The aesthetic aspects of the composition are controlled by active templates. These aspects include face size and positioning but also face identity and number of faces in a group. The output structure is multi layer supporting both the generation of static images and video consisting of transitions between the compositions.

Paper Details

Date Published: 10 February 2010
PDF: 12 pages
Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400M (10 February 2010); doi: 10.1117/12.837235
Show Author Affiliations
Phil Cheatle, Hewlett-Packard Labs. (United Kingdom)
Darryl Greig, Hewlett-Packard Labs. (United Kingdom)
David Slatter, Hewlett-Packard Labs. (United Kingdom)


Published in SPIE Proceedings Vol. 7540:
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV
Theo Gevers; Qian Lin; Raimondo Schettini; Zhigang Fan; Cees Snoek, Editor(s)

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