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CONTACT 2014
First International Workshop on
Computer vision + ONTology Applied Cross-disciplinary Technologies
http://profs.sci.univr.it/~cristanm/contact2014/
September 7, 2014, Zurich, Switzerland
in association with ECCV 2014
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>> PAPER submission: June 20, 2014<<
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CALL FOR PAPERS
Image and video understanding is the process of converting elementary
visual entities (pixels, voxels) to symbolic forms of knowledge
(textual tags, predicates), by means of various kinds of models
(statistical classifiers, neural networks, expert systems, etc.). It
represents the highest processing level in a computer vision system,
operating usually on top of a basic processing layer, which extracts
intermediate image representations (patches, volumes). Due to the
unconstrained nature of photographic images and videos, and the lack
of fully reliable low-level features, the process of image
understanding may be helped grounding it with a prior semantic model
describing any domain knowledge, which may operate during both
learning and inference. This semantic layer is usually represented by
means of an ontology, intended as a set of primitive concepts and
relations expressed by axioms providing an interpretation to the
vocabulary chosen for the visual description of a domain.
After the early steps in the eighties, the research domain that
cross-pollinates computer vision and formal ontology stagnated,
limited probably by the lack of available domain ontologies. However,
more recently, with the creation of shared resources as ImageNet,
TinyImage, Labelme, on the computer vision side, and Wordnet on the
formal ontology side, the area exploded, leading to an exponential
growth in the scientific community.
The aim of CONTACT 2014 is to bring together a wide range of
researchers in computer vision and machine learning on one side, and
formal ontology on the other, to share innovative ideas and solutions
for exploiting the potential synergies emerging from the integration
of the two domains, for object and event recognition, scene, image and
video understanding, with the long term goals of promoting the
development of a proper visual ontology and a better understanding of
how such a visual ontology could be used for visual inference.
CONTACT 2014 will be the first of a series of events which will have
an interesting yet unique characteristic: in order to gradually
connect the communities of computer vision and formal ontologies in a
tight relationship, the CONTACT workshop will be hosted iteratively in
a major computer vision conference (as ECCV is) and in a major
ontology conference (as FOIS - Formal Ontologies for Information
Systems): this way, the cross-fertilization will take place by
involving the best of the two communities, with alternative emphasis
on one facet or the other. (03)
IMPORTANT DATES
-- June 20, 2014: paper submission deadline
-- July 25, 2014: acceptance notification
-- August 8, 2014: camera ready submission
-- September 7, 2014: workshop day (04)
SCOPE
The topics of interest for the convention include, but are not limited
to, the following areas:
- Semantic image/video understanding
- Ontology-based cognitive vision
- Semantic visual features
- Visual concept ontology
- Ontological engineering
- Prototype theory
- Ontology and probability theory
- Automatic and semi-automatic ontology learning and inference
- Web-based knowledge acquisition
- Ontology representation for computer vision
- Ontology- and knowledge-based vision systems
- Ontologically driven scene understanding
- Semantically-aided object identification
- Semantically-aided action recognition
- Expert systems for image and video processing
- Video surveillance
- Social signal processing
- Medical imaging
- Remote sensing (05)
INVITED SPEAKERS
* Fei-Fei Li, Stanford University, USA
* Werner Ceusters, New York State Center of Excellence in
Bioinformatics & Life Sci-ences, USA (06)
ORGANIZATION
--Workshop Organizers--
* Marco Cristani, Università degli Studi di Verona
* Roberta Ferrario, Italian National Research Council
* Jason J. Corso, SUNY Buffalo
--Publicity and Web Chair--
* Francesco Setti, Italian National Research Council (07)
PROGRAM COMMITTEE
(More focused on the Computer Vision side)
- Francois Bremond, INRIA Sophia Antipolis, FR
- Rita Cucchiara, Università degli Studi di Modena, IT
- Trevor Darrell, University of California, Berkeley, USA
- Jianping Fan, UNC-Charlotte, USA
- Li Fei-Fei, Stanford University, USA
- David Forsyth, U. Illinois at Urbana-Champaign, USA
- Xian-Sheng Hua, Microsoft Research Redmond, USA
- Yu-Gang Jiang , Fudan University Shanghai, CN
- Ioannis (Yiannis) Kompatsiaris, CERTH-ITI, GR
- Mirco Musolesi, University of Birmingham, UK
- Bernd Neumann, Universität Hamburg, DE
- John R. Smith, IBM T. J. Watson Research Center, USA
- Concetto Spampinato, Università di Catania, IT
- Rahul Sukthankar, Google Research, USA
- Qi Tian, University of Texas at San Antonio, USA
- Antonio Torralba, MIT, USA
- Chris Town, University of Cambridge, UK
- Andrea Vedaldi, University of Oxford, UK
- Roberto Vezzani, Università degli Studi di Modena, IT
- Alessandro Vinciarelli, University of Glasgow and Idiap Research
Institute, UK
- Song-Chun Zhu, University of California, Los Angeles, USA (08)
(More focused on the Ontology side)
- Mehul Bhatt, University of Bremen, DE
- Antony Galton, University of Exeter, UK
- Céline Hudelot, Ecole Centrale Paris, FR
- Rongrong Ji, Xiamen University, CN
- José Manuel Molina López, Universidad Carlos III de Madrid, ES
- Alessandro Oltramari, Carnegie Mellon University, USA
- Kate Saenko, UMass Lowell, USA
- Mohan Sridharan, Texas Tech University, USA
- Konstantin Todorov, University Montpellier 2, FR
- Shiqi Zhang, Texas Tech University, USA (09)
SUBMISSION INSTRUCTIONS
Authors are invited to check the CONTACT 2014 website link
http://profs.sci.univr.it/~cristanm/contact2014/
for details regarding the submission instructions. (010)
PROCEEDINGS
The workshop proceedings will be published together with the
proceedings of the main conference. (011)
RESOURCES
* CONTACT 2014 homepage:
http://profs.sci.univr.it/~cristanm/contact2014/
* Twitter:
https://twitter.com/contactws (012)
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