posted by system || 5519 views || tracked by 6 users: [display]

KAMC 2007 : Knowledge Acquisition from Multimedia Content

FacebookTwitterLinkedInGoogle


Conference Series : Knowledge Acquisition from Multimedia Content
 
Link: http://www.ist-live.org/kamc2007
 
When Dec 5, 2007 - Dec 5, 2007
Where Genova, Italy
Submission Deadline Oct 14, 2007
Categories    multimedia   data mining   knowledge discovery
 

Call For Papers

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

SUMAC 2025   The 7th ACM international workshop on analysis, understanding and promotion of heritage contents
IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
CBMI 2025   Content-Based Multimedia Indexing
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
JARES 2025   International Journal of Advance Robotics & Expert Systems
ICDM 2025   The 25th IEEE International Conference on Data Mining
NLP4KGC 2025   4th NLP4KGC: Natural Language Processing for Knowledge Graph Construction
Ei/Scopus- CCRIS 2025   2025 IEEE 6th International Conference on Control, Robotics and Intelligent System (CCRIS 2025)
ISKE 2025   The 20th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2025)
Ei/Scopus-CCISS 2025   2025 2nd International Conference on Computing, Information Science and System (CCISS 2025)