From bures at nenya.ms.mff.cuni.cz Tue Jan 2 13:54:35 2007 From: bures at nenya.ms.mff.cuni.cz (Tomas Bures) Date: Tue, 02 Jan 2007 13:54:35 +0100 Subject: Seminar - streda 3.1. od 9:00 Message-ID: <459A560B.7020500@nenya.ms.mff.cuni.cz> Dobry den, rad bych vas pozval na zitrejsi seminar: *Josef Sivic*, Department of Engineering Science, University of Oxford: /_Efficient visual search of images and videos_/ /Abstract:/ The objective of this work is to search videos and image collections based on their visual content. Despite the recent success of text based search (e.g. Google), visual search in unannotated image and video collections remains a challenging problem. The imaged appearance of a particular object can change significantly due to changing camera viewpoint, illumination, and partial occlusion by other objects. Furthermore, there is additional variation when searching for visual object classes, such as cars, buildings or people, rather than a particular object, e.g. the Eiffel Tower. Inspired by the success of textual search, we have developed a novel object representation where an image is described as a collection of visual 'nouns', as analogues of words. These descriptors are built with a controlled degree of invariance to certain appearance transformations. This new representation allows us to employ efficient search methods and probabilistic models from statistical text analysis. In the first part of the talk, I will show rapid retrieval of particular objects and people in videos. In the second part of the talk I will show how probabilistic topic discovery methods from statistical text analysis can be used to learn models of visual object classes from an unlabelled collection of images. The learnt models are then applied to object class retrieval in image databases and films. Joint work with Andrew Zisserman, Alexei Efros, Bryan Russell, and William Freeman. -- Tomas Bures Distributed Systems Research Group Department of Software Engineering Faculty of Mathematics and Physics Charles University, Czech Republic http://nenya.ms.mff.cuni.cz/~bures -------------- next part -------------- An HTML attachment was scrubbed... URL: