In this paper we propose an overview of a project aiming at building an audio-visual laughter synthesis system. The same approach is followed for acoustic and visual synthesis. First a database has been built to have synchronous audio and 3D visual landmarks tracking data. Then this data has been used to build HMM models of acoustic laughter and visual laughter separately. Visual laughter model...

This paper investigates the estimation of fusion weights under varying acoustic noise conditions for audio-visual multi-level hybrid fusion strategy in speaker identification. The multi-level fusion combines model level and decision level fusion via dynamic Bayesian networks (DBNs). A novel methodology known as support vector regression (SVR) is utilized to estimate the fusion weights directly ...

In this paper we investigate approaches to the creations of a metadatabase and a search agent in a metasewer which support global visual access to multimedia databases over Internet. The metadata for inclusion within the metadatabase is formulated on the basis of visual content of the images housed at each remote multimedia database. The search agent, located within the metaservel; accesses the...

With the aim of audiovisual database consulting, the prospect of an interactive visual organization tool should be enviable. We consider a document as a visual entity in a computer screen. Thanks to an appropriate simplified GUI, a user can organize a few documents. Its notion of audiovisual similarity is relative to the Euclidean distance between entities: the more they are close, the more the...

We propose a software layer called GUEDOS-DB upon Object-Relational Database Management System ORDMS. In this work we apply it in Molecular Biology, more precisely Organelle (mitochondria and chloroplasts) complete genome. We aim to offer biologists the possibility to access in a unified way information spread among heterogeneous genome databanks. In this paper, the goal is firstly, to provide ...

Although many researchers focused on investigating the challenges of database normalization, and suggested recommendations on easing these challenges, this process remained an area of concern to database designers, developers, and learners. This paper investigated these challenges and involved Higher Education in Computer Science students learning database normalization, as they could well repr...

This paper examines how far state-of-the-art machine vision algorithms can be used to retrieve common visual patterns shared by series of paintings. The research of such visual patterns, central to Art History Research, is challenging because of the diversity of similarity criteria that could relevantly demonstrate genealogical links. We design a methodology and a tool to annotate efficiently c...

Textual database programming languages are computationally complete, but have the disadvantage of giving the user a non-intuitive view of the database information that is being manipulated. Visual languages developed in recent years have allowed naive users access to a direct representation of data, often in a graph form, but have concentrated on user interface rather than complex programming t...

It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be described using Entity-Relationship diagrams, which identify relationships between entities in the data model. Such high-level views are useful for database design activities, and can be used to generate user interfaces ...

Bioinformatics research in general and the exploration of metabolic networks in particular rely on processing data from different sources. Visualization in this context supports the exploration process and helps to evaluate the data quality of the used sources. In this work, we extend our existing metabolic network visualization toolbox and hereby address the fundamental task of comparing metab...