The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Although gesture recognition has been studied extensively, communicative, affective, and biometrical “utility” of natural gesticulation remains relatively unexplored. One of t...
In the last few years, several algorithms for the automatic alignment of audio and score data corresponding to the same piece of music have been proposed. Among the major drawback...
To exploit rich content embedded in a single photograph, a system named Photo2Video was developed to automatically convert a photographic series into a video by simulating camera ...
Bourdev and Malik (ICCV 09) introduced a new notion of parts, poselets, constructed to be tightly clustered both in the configuration space of keypoints, as well as in the appeara...