We address the problem of searching multimedia by semantic similarity in a keyword space. In contrast to previous research we represent multimedia content by a vector of keywords instead of a vector of low-level features. This vector of keywords can be obtained through user manual annotations or computed by an automatic annotation algorithm. In this setting, we studied the influence of two aspe...

During the last decade, the cost of storage and wide area communication services has decreased, while their capacity increased dramatically. This fact, along with the increasing penetration of e-commerce applications, has made digital storage, annotation and access of multimedia information a mature and viable choice for content holding organizations and individuals. Numerous multimedia archive...

The emergence of digital multimedia systems is creating many new opportunities for rapid access to huge content archives. In order to fully exploit these information sources, the content must be annotated with significant features. An important aspect of human interpretation of multimedia data, which is often overlooked, is the affective dimension. Such information is a potentially useful compo...

In this paper, we focus on the managing of multimedia document and more precisely on the annotation and the generation of adaptable multimedia documents. Our solution is directed towards analysing the ways to “bridge the gap” between physical and semantic levels, for multimedia document modelling and querying. Our goal is to describe how to model and unify features elicited from content and str...

With the popularity of online multimedia videos, there has been much interest in recent years in acoustic event detection and classification for the improvement of online video search. The audio component of a video has the potential to contribute significantly to multimedia event classification. Recent research in audio document classification has drawn parallels to text and image document ret...

MOCA is a suite of Internet multimedia tools to facilitate groupwork in a distance-learning environment, built using standard Java utilities. MOCA’s original aim was to allow several users to work simultaneously on multimedia documents using a multimedia whiteboard. But now MOCA supports both asynchronous and synchronous collaboration models. Tools for asynchronous multimedia presentation, anno...

The amount of multimedia data available worldwide is increasing every day. There is a need to annotate multimedia data in order to allow universal content access and to provide content based search-and-retrieval. We present a tool for unsupervised annotation of sports videos, that are distributed via a video-on-demand streaming server. Our system generates a description that can be used for dir...

The UNED-UV group at the ImageCLEF2013 Campaign have participated in the Scalable Concept Image Annotation subtask. We present a multimedia IR-based system for the annotation task. In this collection, the images do not have any textual description associated, so we have downloaded and preprocessed the web pages which contain the images. Regarding the concepts, we expanded their textual descript...

Music annotation is an important research topic in the multimedia area. One of the challenges in music annotation is how to reduce the human effort in labeling music files for building reliable classification models. In the past, there have been many studies on applying support vector machine active learning methods to automatic multimedia data annotation, which try to select the most informati...