We invite you to submit articles for consideration on a wide range of topics broadly related to the 2012 International Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR 2012), to be held in conjunction with the 12th European Conference on Computer Vision (ECCV 2012), on Oct 13, 2012, in Firenze, Italy.
Since the last decade large attention has been paid to the methods of recognition of visual concepts both in image and video documents. In visual scenes, the concept is translated as objects and actions/activities of the latter and also of the context in which these activities are performed. Therefore, machine learning approaches have received increasing importance for the building of object models and decision schemes in the whole task of recognition.
Furthermore, the recent advances of the community in this field show that the concept recognition passes through aggregation of multiple sources of information. Visual information can benefit from additional cues extracted from audio or text, involving integration of speech recognition, user-contributed information (e.g. tags, tweets), viewer affective response, social media analysis, but as well as of information recorded from additional sensors such as geo-taggers or GPS. Hence the primary problem consists in fusion of multiple multi-modal information cues. This problem is of importance in an actual information context as fusion often means "dimensionality reduction" which is of primarily importance for large scale information mining.
Topics of interest for submissions include, but are not limited to:
Articles for the IFCVCR 2012 workshop must be submitted online through the ECCV 2012 CMT submission system and must follow the Workshop paper submission guidelines