Workshop on Adaptive Multimedia Retrieval (AMR2009)
September 24-25, 2009, Madrid, SpainAMR2009 website
The main reasons for undesired steps in multimedia search are on the one hand, the users' difficulty in specifying their interests in the form of a well-defined query, and on the other hand, the problem of extracting
relevant (semantic) features from the multimedia objects. To improve today's retrieval tools and thus the overall satisfaction of a user, it is necessary to develop new techniques able to support the user in the interactive retrieval process. Currently, especially Multimedia Interaction and Dialogue Management techniques as well as affect detection for multimedia content and others are currently promising research directions.
The Adaptive Multimedia Retrieval workshop aims to bring researchers, practitioners and companies with specific focus on existing and novel techniques into the field of multimedia retrieval. The goal of this workshop is therefore to intensify the exchange of ideas, to provide an overview of current activities in this area and to point out connections between multimedia, retrieval and artificial intelligence research communities.
Topics of interest
The workshop focuses especially on researchers that are working on: feature extraction techniques for multimedia, computer linguistic approaches, (dynamic) data analysis methods, interactive machine learning and visualisation methods as well as user interface design.
Therefore, contributions to the workshop should focus on, but are not limited to:
Multimedia retrieval systems (for text, image, audio, video and mixed-media)
Theoretical foundations of multimedia retrieval and mining
Intelligent multimedia data modelling, indexing and structure extraction
Adaptive Hypermedia and web based systems
Metadata for multimedia retrieval
Multimedia and multi-modal mining
Semantic content analysis for multimedia
Multimedia Interaction and Dialogue Management
Sentiment Analysis and Affect Detection for Multimedia Content
Soft Computing in Multimedia Information Retrieval
Adaptive query languages
Similarity measures (especially user adaptive measures)
User and preference modelling (including feedback models)
Methods for adaptive data visualisation and user interfaces
July 20th, 2009 Deadline for paper submission
August 17th, 2009 Notification of acceptance/rejection
September 4th, Final paper submission
September 7th, 2009 Early registration deadline
Submissions must be original and must not have been submitted for publication elsewhere. Submissions should be formatted according to Springer LNCS style. Papers should have about 10 pages but should not exceed 15 pages and should be submitted electronically in PDF or postscript format.
Marcin Detyniecki (CNRS, LIP6, Paris, France)
Ana Garcia-Serrano (Universidad Nacional de Educación a Distancia, Spain)
Andreas Nuernberger (University of Magdeburg, Germany)