Objective Hundreds of billions of images are hosted on the World Wide Web. There is a huge interest in mining information in large image collections based on visual content. Direct applications are the automatic organization of visual datasets, visual navigation, object recognition, and the traditional query-by-sample search.Although recent breakthroughs allow the search in millions of images on a single server with increasing quality, the accuracy of automatic recognition remains low compared to human’s visual analysis. I believe that significant progress is still achievable by a major shift in the paradigm underpinning the image representation: an image should be described with respect to the context provided by the image collection.The main objective of VIAMASS is to automatically discover visual links within a very large collection of images. These “visual hyper-links” will connect the objects across the images of the collection. This raises a major obstacle with respect to scalability: cross matching all the images is of quadratic complexity when performed with a brute-force approach. To this end, VIAMASS addresses issues at the frontier of the current state of the art in computer vision and signal processing: How to exploit the context provided by the collection to enrich the image representation? How to exploit and magnify recent signal processing and coding techniques to efficiently compare sets of vectors? How to automatically produce geometrical models of objects with little or no supervision? At the end, the ultimate challenge is to invent scalable solutions for the automatic discovery of visual links across images.My research program impacts the whole processing chain of visual search, from the description level to the mining algorithms that will break the complexity lock. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingnatural sciencescomputer and information sciencesartificial intelligencecomputer visionnatural sciencescomputer and information sciencesinternetworld wide web Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Call for proposal ERC-2013-StG See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Coordinator INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE Address Domaine de voluceau rocquencourt 78153 Le chesnay cedex France See on map Region Ile-de-France Ile-de-France Yvelines Activity type Research Organisations Principal investigator Herve Jegou (Dr.) Administrative Contact Jean-Paul Guillois (Mr.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution € 1 498 627,00 Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE France EU contribution € 1 498 627,00 Address Domaine de voluceau rocquencourt 78153 Le chesnay cedex See on map Region Ile-de-France Ile-de-France Yvelines Activity type Research Organisations Principal investigator Herve Jegou (Dr.) Administrative Contact Jean-Paul Guillois (Mr.) Links Contact the organisation Opens in new window Website Opens in new window
