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[ontolog-forum] Two Ph.D positions in semantic multimedia processing at

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: Luciano Serafini <serafini@xxxxxx>
Date: Thu, 7 May 2015 12:46:59 +0200
Message-id: <D0C9AC78-A191-478A-9683-28948F321C09@xxxxxx>
[Please circulate to all the intersted people / your contacts]
============================    (01)

                           2 PhD positions    (02)

                         Cognitive Computing
                  Center for Information Technology
                       FONDAZIONE BRUNO KESSLER    (03)

                          Duration: 3 years
                       Close Date: May 27, 2015    (04)

                        Formal application at:
   http://ict.unitn.it/application/project_specific_grants#A4    (05)

These position will be part of the Joint Project "Understanding multimedia 
content (UMC)" of the Cognitive Computing research line 
(http://ict.fbk.eu/cognitive-computing). The UMC project is developed in 
collaboration between the Natural Language Processing research unit 
(hlt.fbk.eu) the Technologies for Vision research init (tev.fbk.eu) and the 
Data and Knowledge Management research unit (dkm.fbk.eu).    (06)

(http://ict.unitn.it/application/project_specific_grants#A3)    (07)

This phd has the objective of extracting events from commented videos 
exploiting background knowledge available in the semantic web. This phd should 
develop a holistic approach, where the process of extracting information from 
the video, and from the associated text are integrated and can affect each 
other at any stage. This implies that video stream and textual stream are 
considered as a whole information space and their interpretations are not 
independent. Furthermore, video-text interpretation should not happen in the 
knowledge vacuum, but it should exploit the existing large amount of background 
knowledge available in the semantic web under the form of ontologies and RDF 
data. Nowadays--in contrast with the early years of AI when knowledge 
acquisition was a bottleneck--large amount of commonsense knowledge is 
available in the semantic web, but it cannot be easily exploited by the 
state-of-the-art approaches to video and text analisys. The thesis should 
investigate on how to extend and adapt algorithms for video and text analysis 
in order to inject background knowledge. The thesis, to reach it's objective, 
should combine techniques in machine learning--for processing low level 
data--with automated reasoning--to manage with high level semantic knowledge.    (08)

(http://ict.unitn.it/application/project_specific_grants#A4)    (09)

Multimedia content analysis more and more relies on advanced machine learning 
to capture the enormous richness of multi-modal sources (commented videos, 
images with captions, etc.). At the other side, domain specific knowledge is 
often available to leverage the content analysis task, but effectively encoding 
it into machine learning (down to the development of task-specific feature 
representations) is still an open research issue. The goal of this PhD is to 
progress on the computer vision side of the problem, to go beyond a mono-modal 
approach where supervisions for learning are provided explicitly. Instead, we 
will investigate how structured (background knowledge) and semi-structured data 
(e.g. text captions and descriptions) can be used to provide implicit 
supervision to enrich the task-specific visual learning capabilities.    (010)

SKILLS: Candidates are required to have basic or advanced skills in one or more 
of the following areas: artificial intelligence, machine learning, computer 
vision, natural language processing and knowledge representation techniques.    (011)

For further infos please contact:    (012)

Dr. Oswald Lanz 
TEV, Fondazione Bruno Kessler
Email: lanz@xxxxxx
Web: tev.fbk.eu/people/profile/lanz    (013)

Dr. Bernardo Magnini
HLT, Fondazione Bruno Kessler
Email: magnini@xxxxxx
Web: hlt.fbk.eu/people/profile/magnini    (014)

Dr. Luciano Serafini 
DKM, Fondazione Bruno Kessler
Email: serafini@xxxxxx
Web: dkm.fbk.eu/people/profile/serafini    (015)

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