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IMEDIA RESEARCH GROUP

 

Contacts

Scientific contact

Anne Verroust-Blondet

E-mail: Anne.Verroust(a)inria.fr
Phone: (33)-1 39 63 54 41
Fax: (33)-1 39 63 56 74

Administrative contact

INRIA, Projet IMEDIA, bat. 11
Domaine de Voluceau
B.P. 105  78153 Le Chesnay Cedex
FRANCE

Objectives

One of the consequences of the increasing ease of use and significant cost reduction of computer systems is the production and exchange of more and more digital and multimedia documents. These documents are fundamentally heterogeneous in structure and content as they usually containtext, images, graphics, video and sounds.

Information retrieval can no longer rely on text-based queries alone; it will have to be multi-modal and to integrate all the aspects of the multimedia content. In particular, the visual content has a major role and represents a central vector for the transmission of information.


The description of that content by means of image analysis techniques is less subjective than the usual keyword-based annotations, whenever they exist. Moreover, being independent from the query language, the description of visual content is becoming paramount for the efficient exploration of a multimedia stream.

In the IMEDIA group we focus on the intelligent and efficient access by visual content. With this goal in mind, we develop methods that address key issues such as content-based indexing, interactive search and image database navigation, in the context of multimedia content.

 

Content-based image retrieval systems provide help for the automatic search and assist human decisions.


One of the main goals of our research group is to reduce the gap between the real usages and the functionalities resulting from our research on visual content-based information retrieval. Thus, we apply ourselves to conceive methods and techniques that can address realistic scenarios, which often lead to exciting methodological challenges.

Among the "usage" objectives, an important one is the ability, for the user, to express his specific visual interest for a part of a picture. It allows him to better target his intention and to formulate it more accurately.

Another goal in the same spirit is to express subjective preferences and to provide the system with the ability to learn those preferences.

When dealing with any of these issues, we keep in mind the importance of the scalability of such interactive systems in terms of indexing and response times.

Of course, what value these times should have and how critical they are depend heavily on the domain (specific or generic) and on the cost of the errors. Our research work is then at the intersection of several scientific specialities.

The main ones are image analysis, pattern recognition, statistical learning, human-machine interaction and database systems.