Remarkable performance has been reported to recognize single object classes. Scalability
to large numbers of classes however remains an important challenge for today's recognition …

In this survey, we argue that using structured vocabularies is capital to the success of image
annotation. We analyze literature on image annotation uses and user needs, and we stress …

This paper attempts to provide a comprehensive review and characterize the problem of the
semantic gap that is the key problem of content-based image retrieval and the current …

This research is motivated by the realisation that semantic technology can be used to
develop computational tools in support of designers' creativity by focusing on the …

Knowledge-sharing communities like Wikipedia and automated extraction methods like
those of DBpedia enable the construction of large machine-processible knowledge bases …

People often try to find an image using a short query and images are usually indexed using
short annotations. Matching the query vocabulary with the indexing vocabulary is a difficult …

The main limitations of the existing high level image retrieval approaches concern the high
dependance on an external reliable resource (domain ontologies, learning sets, etc.) and a …

A streaming application, characterized by a kernel that can be broken down into
independent tasks which can be executed in a pipelined fashion, inherently allows its …

This paper describes the technical details of SemRetriev, a prototype system for image
retrieval which combines the use of an ontology which structures an image repository and of …

The need of humans to socialize and share information has led to a constantly growing Web,
which has become a support for social media. Every day, worldwide users are pushing …