Paper
10 February 2010 Faces from the web: automatic selection and composition of media for casual screen consumption and printed artwork
Phil Cheatle, Darryl Greig, David Slatter
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phil Cheatle, Darryl Greig, and David Slatter "Faces from the web: automatic selection and composition of media for casual screen consumption and printed artwork", Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400M (10 February 2010); https://doi.org/10.1117/12.837235
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Composites

Visualization

Video

Prototyping

Image segmentation

Databases

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