Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets
We model human interest on 3D models using multi-touch interactions from tablets. We create a crowdsourcing system to gather interaction data from thousands of users. We propose using the view frustum and a Hidden Markov model for calculating saliency. We present results comparing the proposed interest model to traditional visual saliency. We report results demonstrating the proposed techniques on over 500,000 interactions.
crowdsourcing smartphones visual saliency 3d maps multitouch interaction hmm gaze-tracking mobile devices