no code implementations • 24 Mar 2015 • Luca Baroffio, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi
A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features.
no code implementations • 27 Feb 2015 • Luca Baroffio, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Stefano Tubaro
Traditionally, a Compress-Then-Analyze approach has been pursued, in which sensing nodes acquire and encode the pixel-level representation of the visual content, that is subsequently transmitted to a sink node in order to be processed.
no code implementations • 26 Feb 2015 • Luca Baroffio, Antonio Canclini, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Stefano Tubaro
In this paper we investigate a coding scheme tailored to both local and global binary features, which aims at exploiting both spatial and temporal redundancy by means of intra- and inter-frame coding.