International Workshop on Computer vision + ONTology: Applied Cross-disciplinary Technologies (CONTACT 2016)
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, knowledge-based 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).
This semantic layer provides in principle the meaning of the symbolic forms associated to visual entities. In order to develop a principled methodology to ascribe meaning to images and videos, we need ontologies for modelling the domain knowledge, for providing an interpretation of the vocabulary chosen for the visual description of a domain, and for reasoning about the conceptualization of the visual entities.
The process of ascribing meaning to visual elements is a delicate and crucial step in computer vision, an effective modelling of this process is the key to enable a number of applications such that querying image databases, reasoning about images and scenes, inferring information from videos.
The aim of the CONTACT series is to bring together a wide range of researchers in formal ontology on the one side and computer vision and machine learning on the other, to share innovative ideas and solutions for exploiting the potential synergies emerging from the integration of the two domains, 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.
This is the second edition of CONTACT (http://profs.sci.univr.it/~cristanm/contact2014/) and it aims to address specifically scholar in ontology for promoting the applications of techniques developed in ontology and knowledge representation to computer vision.
Invited speakers: TBA
Call for papers:
We invite submission of both regular paper (up to 15 pages) and short paper (up to 6 pages). Regular and short papers should be formatted according to the template provided for FOIS 2016 (link).
Contributed papers should be submitted via EasyChair https://easychair.org/conferences/?conf=contact2016.
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
- Ontology of time and events for videos
- Ontological engineering
- Part-whole relations in images/videos
- Prototype theory
- Conceptual spaces and human vision
- 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
The workshop publishes post-conference proceedings by CEUR that are submitted to indexing to DBLP. The final camera ready of the accepted papers can include comments received during the conference.
A special issue of a journal paper with a selection of contributions is planned.
April 19, 3 May, 2016
Submission (full papers):
April 25, 9 May, 2016
12 May, 30 May, 2016
31 May, 15 June 2016
FOIS early registration: 5 June, 2016.
Workshop: 6, July 2016.
Mehul Bhatt, The University of Bremen
Isabelle Bloch, ENST-CNRS UMR 5141 LTCI
Stefano Borgo, Laboratory for Applied Ontology, ISTC-CNR, Trento
Jianping Fan, UNCC
Roberta Ferrario, Laboratory for Applied Ontology, ISTC-CNR, Trento
Marcello Frixione, University of Genova
Yiannis Kompatsiaris, CERTH - ITI
Antonio Lieto, University of Turin
Claudio Masolo, Laboratory for Applied Ontology, ISTC-CNR, Trento
Jose M. Molina, Universidad Carlos III de Madrid
Mirco Musolesi, University College London
Bernd Neumann, Hamburg University
Luciano Serafini, Fondazione Bruno Kessler
Christopher Town, University of Cambridge
Shiqi Zhang, The University of Texas at Austin