KAMC: Knowledge Acquisition from Multimedia Content



Past:   Proceedings on DBLP

Future:  Post a CFP for 2008 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
KAMC 2007 Knowledge Acquisition from Multimedia Content
Dec 5, 2007 - Dec 5, 2007 Genova, Italy Oct 14, 2007

Present CFP : 2007

In recent years significant advances have been made in the area of automatic extraction of low-level features from audiovisual content. However, little progress has been achieved in the identification of high-level semantic features or the effective combination of semantic features derived from different modalities. Knowledge acquisition is becoming a key-enabling factor of the above tasks towards more scalable and reliable solutions, and thus its automation is becoming critical.

As the deployment of knowledge enhances the robustness of extraction while on the other hand the continuous extraction of semantic information can enrich this knowledge, synergistic approaches that combine multimedia extraction and knowledge evolution in a bootstrapping common framework to introduce new opportunities in semantic multimedia applications. Integration with additional sources of information, e.g. by using human annotation tools or real-time event services, may further simplify and disambiguate semantic multimedia information systems. Moreover, adaptation to a particular domain, for example to sports events, such as the Olympic games, is essential in order to reduce the complexity of multimedia analysis. In this context, unified modeling and representation of multimedia and domain-specific knowledge, ontology evolution, and standard and non-standard inference services for multimodal semantic knowledge fusion, form cutting edge technologies.

Key note speakers at the workshop:
Fabio Ciravegna, University of Sheffield
Alan Smeaton, Dublin City University

Topics of Interest
This workshop invites contributions on all topics related to semantic multimedia information systems. Special emphasis is given in challenging applications, such as the analysis of sports broadcasts. We anticipate some significant discussion owing to differences in opinions about approaches to take in solving the relevant joint problems, and we invite you to join the workshop to give your views on the following, as well as related topics

* Knowledge-driven multimedia analysis
o Video, image, audio and text semantics extraction
* Knowledge representation and reasoning for multimedia understanding
o Multimedia ontologies
o Deductive, abductive, rule-based reasoning
* Knowledge-based production support systems
* Knowledge-based systems in real-time environments
* Ontology evolution
o Ontology enrichment, learning, population and coordination
* Fusion of knowledge extracted from multiple data sources (channels, modalities, streams)
* Real-time algorithms with or without hardware accelerations
* Semi-automatic offline or online human annotation
* Personalised content broadcasting
* Recommendation systems and collaborative filtering

Aims of the Workshop
This workshop aims to bring together researchers and members from the industry interested in semantic multimedia information systems. In particular, it targets researchers dealing with multimedia analysis, annotation, evolution, reasoning, real time analysis of audiovisual data and multi stream analysis. It also targets professionals working with semantic multimedia information systems in image and video databases, audiovisual archives, sport industry, media production and broadcast industry, etc.

Workshop Structure
The workshop will be divided into two sessions, each of which started with a keynote speech. Confirmed speakers are Alan Smeaton (Dublin City University) and Fabio Ciravegna (University of Sheffield). Each session will include presentations of accepted scientific and technical papers from the community. Accepted posters will be presented during the session breaks. The workshop will be concluded with a panel discussion involving the invited speakers, representatives of the projects LIVE and BOEMIE and the audience.

Important Dates
Paper submission: October 05, 2007
Notification of acceptance: October 30, 2007
Camera ready submission: November 21, 2007
Workshop: December 05, 2007

We welcome submissions of full and short papers. Full papers should not exceed 15 pages and short papers should not exceed 8 pages. Accepted short papers will be presented as posters during the session breaks. Declined full papers might be accepted as short papers for presentation at the workshop.

Submissions should be formatted according to the Springer LNCS format (http://www.springer.de/comp/lncs/authors.html) and be submitted in PDF format through the submission site of the workshop: http://www.easychair.org/KAMC2007/

Workshop proceedings will be provided as hand-outs during the workshop and will be published online as CEUR-WS proceedings.
Please note that at least one author of an accepted papers must register for the SAMT 2007 conference to be included in the workshop proceedings.

Related Resources

MIPR 2018   he First (2018) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'18)
SDM 2018   SIAM International Conference on Data Mining
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
KALSIMIS 2018   Knowledge Acquisition and Learning in Semantic Interpretation of Medical Image Structures
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”
IPMU 2018   17th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference
ACM--ICCIP 2017   ACM--2017 the 3rd International Conference on Communication and Information Processing (ICCIP 2017)--Ei Compendex, ISI Web of Science and Scopus
ICSRS - Ei 2017   2017 2nd International Conference on System Reliability and Science (ICSRS 2017)--IEEE, Ei Compendex and Scopus
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018