In this work we propose to exploit context sensor data for analyzing user generated videos. Firstly, we perform a low-level indexing of the recorded media with the instantaneous co...
Francesco Cricri, Igor D. D. Curcio, Sujeet Mate, ...
Content publishing and distribution often occurs in a costly and inefficient manner via client/server networks. Client/server models exhibit negative network externalities in that...
In this paper the authors describe Pundit, a course recommendation and search tool at Teachers College, Columbia University. The alpha prototype employs a novel combination of data...
We propose an approach to content-based Distributed Information Retrieval based on the periodic and incremental centralisation of full-content indices of widely dispersed and auto...
Fabio Simeoni, Murat Yakici, Steve Neely, Fabio Cr...
In this paper, we present Chameleon—an application-level power management approach for reducing energy consumption in mobile processors. Our approach exports the entire responsi...