by Maria Trocan, Emanuele Salerno and Enis Cetin
The Institut Superieur d'Electronique de Paris (ISEP) hosted the International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM 2014), organized by the ERCIM Working Group on Multimedia Understanding through Semantics, Computation and Learning (Muscle), 1-2 November 2014.
Multimedia understanding is an important part of many intelligent applications in our social life, be it in our households, or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploit their full potential and help us in managing our everyday tasks. The purpose of the workshop was to provide an international forum to present and discuss current trends and future directions in computational intelligence for multimedia understanding. The workshop also aimed at fostering the creation of a permanent network of scientists and practitioners for easy and immediate access to people, data and ideas. This is now the third such workshop organized by MUSCLE. As in the past, the participation was open to all interested researchers. This year, the papers presented, as well as the audience, were particularly numerous, thus strengthening the networking capabilities of the group with some more research teams requesting to join MUSCLE.
34 participants from eleven countries attended the workshop. The papers accepted for presentation and publication in IEEE Xplore were 27. The presentations were divided into three additional thematic sessions, with respect to traditional tracks: Big and linked data, Hyperspectral image processing, and Retinal image processing and analysis. The talks covered a very wide range of subjects. A motive for satisfaction was the presence of several papers dealing with media different from image and video, some of them integrating multiple media to approach understanding. Three authoritative invited speakers presented keynote talks: Prof. Gauthier Lafruit, of Université Libre de Bruxelles (Image-based 3D scene visualization and Free Viewpoint TV), Prof. Michel Crucianu, of the Conservatoire National des Arts et Métiers, Paris (Multimedia Information Retrieval: Beyond Ranking), and Prof. François-Xavier Coudoux, of the Institute of Electronics, Microelectronics, and Nanotechnologies, France (Digital Image and Video Transcoding: Application to Optimized Video Delivery over Error-prone Networks).
The Muscle group has more than 60 members from 23 partner groups in 16 countries. Their expertise ranges from machine learning and artificial intelligence to statistics, signal processing and multimedia database management.
Links:
http://iwcim.isep.fr/index.html
http://wiki.ercim.eu/wg/MUSCLE/
Please contact:
Maria Trocan, ISEP, and Emanuele Salerno, ISTI-CNR, General Chairs, IWCIM 2014
A. Enis Cetin, Bilkent University, Technical Program Committee Chair, IWCIM 2014
E-mail
