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The social camera : a case-study in contextual image recommendation


Bourke, Steven; McCarthy, Kevin; Smyth, Barry;

Institution: ACM
Subject Keywords: Recommendation technologies; Digital camera; Digital cameras--Technological innovations; Photography--Digital techniques; Composition (Photography)--Technological innovations; User interfaces (Computer systems); Recommender systems (Information filtering);

The digital camera revolution has changed the world of photography and now most people have access to, and even regularly carry, a digital camera. Often these cameras have been designed with simplicity in mind: they harness a variety of sophisticated technologies in order to automatically take care of all manner of complex settings (aperture, shutter speed, flash etc.) for point-and-shoot ease, these assistive features are usually incorporated directly into the cameras interface. However, there is little or no support for the end-user when it comes to helping them to compose or frame a scene. To this end we describe a novel recommendation process which uses a variety of intelligent and assistive interfaces to guide the user in taking relevant compositions given their current location and scene context. This application has been implemented on the Android platform and we describe its core user interaction, recommendation technologies and demonstrate its effectiveness in a number of real-world scenarios. Specifically we report on the results of a live-user trial of the technology in a real-world tourist setting.



Suggested citation:

Bourke, Steven; McCarthy, Kevin; Smyth, Barry; . () The social camera : a case-study in contextual image recommendation [Online]. Available from: [Accessed: 24th August 2019].


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