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RESEARCH
Main achievements of the project
Enhancement and personalisation
of professional off-line audiovisual
contents
The semim@ge project 's objective is the
exploration and prototyping of access
applications, and off-line, personalised use of
enhanced professional audiovisual content. To do
this, professional audiovisual programmes are
off-line (fragmented) and indexed exclusively on
the basis of a completely automatic and generic
processing chain. This chain manages all the
stages from ingestion to publication adapted to
different distribution vectors and associated
services using indexing by automatic generation
of semantic and structural metadata.
Two scenarios have been selected by ActuScan
and TVPerso. The first led to the production of a
demonstrator which uses this automatic
processing chain and allows search and
visualisation of the contents of televised news
using indexing criteria. The second, which uses
the services of the RVSP platform (Rich Video
Services Platform), has been designed and put on
line. It is an RIA (Rich Internet Application)
developed in Flash technology which provides a
user interface with enhanced graphics,
interactivity and functions. The choice of this
technology is mainly in response to our objective :
to take advantage of the different multimodal
analyses carried out by our partners, which offer
new, innovative possibilities for access to
audiovisual content. This was demonstrated
during the project review at the ANR. The second
will be implemented next year.
For these two scenarios, supplementary indexing
using semantic web technologies is under study.
The semantic description of off-line audiovisual
content requires us to establish the type of final
users. In the project they are mainly the general
public, all those who watch audiovisual content,
broadcast on television channels today. We often
use domain knowledge to model contents at the
semantic level. This is very often expert
knowledge, which would require good knowledge
of the design and structuring of audiovisual
content by users. It is clear that in our working
context, it is not appropriate to apply such
principles. On the other hand, the use of
knowledge which is understandable to all seems
quite adequate for our area of enquiry. In fact, we
use general knowledge represented by
« lightweight » ontologies, easily interpretable by
the general public and thus useable (obviously by
concealing the underlying complexity of the
representations). This is the type of approach
which has guided our work on semantic modelling
of off-line audiovisual content.
Recently, several on-line data sources, based on
Semantic Web models and technologies have
been developed. For instance, DBpedia offers a
semantic web version of Wikipedia, created
automatically by information retrieval. The whole
data of this open source are available on-line in
RDF format and can be explored in different ways.
Freebase is another example of a source of free
data on the Web, which offers users the possibility
of adding data and developing the overall
database design (creation of new types of data).
Although they are often general, these sources of
semantic web, free data are not universal. To
allow wider coverage, links are established
between different sources. These
interconnections allow the establishment of a
network of data sources covering very wide areas.
This network is made up of general sources such
as DBpedia and Yago, but also of many other more
specialised sources, such as LinkedMDB, which
is a semantic version of IMDB (Internet Movie
Database). These data sources are created
following free ontologies published on the web.
These ontologies constitute the entry point for
these semantic data sources, thus allowing the
user to search and explore them and to navigate
between them thanks to their interconnections.
The aim is thus to enhance the description of offline
content obtained automatically by our
partners by adding a semantic level between the
two demonstrators ActuScan and TVPerso. We
will both offer content search functions which are
more pertinent and more targeted towards the
users' needs and enhance access to this content
through other reliable, relevant sources of
information.
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1) CNES : Centre National d'Etudes Spatiales (National Centre for Space Studies)