Intangible cultural heritage (ICH) is a relatively recent term coined to represent living cultural
expressions and practices, which are recognised by communities as distinct aspects of …

Image category recognition is important to access visual information on the level of objects
and scene types. So far, intensity-based descriptors have been widely used for feature …

Events are real-world occurrences that unfold over space and time. Event mining from
multimedia streams improves the access and reuse of large media collections, and it has …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

We propose a visual event recognition framework for consumer videos by leveraging a large
amount of loosely labeled web videos (eg, from YouTube). Observing that consumer videos …

Cross-domain learning methods have shown promising results by leveraging labeled
patterns from auxiliary domains to learn a robust classifier for target domain, which has a …

We address the problem of visual knowledge adaptation by leveraging labeled patterns from
source domain and a very limited number of labeled instances in target domain to learn a …

Combining multiple low-level visual features is a proven and effective strategy for a range of
computer vision tasks. However, limited attention has been paid to combining such features …

Image-based semantic distance technique embodiments are presented that involve
establishing a measure of an image based semantic distance between semantic concepts …

Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has
exhibited good performance across a wide range of applications. However, very often for …