Our thesis work deals with the video indexing based on semantic interpretation (an
abstraction of objects or events that figure in a content), more particularly, the semantic …

Digital images and motion video have proliferated in the past few years, ranging from ever-
growing personal photo and video collections to professional news and documentary …

Multimedia retrieval is an enabling technology for the new semantic web, since discussing
multimedia in the framework of the semantic web can be placed under the rubric of …

The dramatic growth of video content over modern media channels (such as the Internet and
mobile phone platforms) directs the interest of media broadcasters towards the topics of …

The aim of the semantic web is to describe resources available on the web using metadata
elements that can be processed or interpreted by machines. MPEG-7 is the result of a …

Query-by-keyword is the paradigm on which machine-based text search is still based.
Elaborating on the success of text-based search engines, query-by-keyword also gains …

Semantic indexing, or assigning semantic tags to video samples, is a key component for
content-based access to video documents and collections. The Semantic Indexing task has …

Semantic analysis and annotation of textual information with appropriate semantic entities is
an essential task to enable content based search on the annotated data. For video …

We present a novel method for fusing the results of multiple semantic video indexing
algorithms that use different types of feature descriptors and different classification methods …

Query-by-keyword is the paradigm on which machine-based text search is still based.
Elaborating on the success of text-based search engines, queryby-keyword also gains …