KAMC: Knowledge Acquisition from Multimedia Content

FacebookTwitterLinkedInGoogle

 

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

Description
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

Submission
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

IEEE Xplore-Ei/Scopus-CSPIT 2023   2023 Asia Conference on Communications, Signal Processing and Information Technology (CSPIT 2023) -EI Compendex
DMKD 2024   2024 International Conference on Data Mining and Knowledge Discovery(DMKD 2024)
DiTox 2023   1st International Workshop on Disinformation and Toxic Content Analysis
SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
IEEE Xplore-Ei/Scopus-AICME 2023   2023 International Conference on Artificial Intelligence, Communications and Mechatronics (AICME 2023) -EI Compendex
DocEng 2023   The 23rd ACM Symposium on Document Engineering
IEEE Xplore-Ei/Scopus-DMCSE 2023   2023 International Conference on Data Mining, Computing and Software Engineering (DMCSE 2023) -EI Compendex
DiTox 2023   1st International Workshop on Disinformation and Toxic Content Analysis
ACITY 2023   13th International Conference on Advances in Computing and Information Technology
ICDE 2024   40th IEEE International Conference on Data Engineering