Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
Real-Time Retrieval of Near-Duplicate Fragments in Images and Video-Clips
verfasst von : Andrzej Śluzek, Mariusz Paradowski
Erschienen in: Advanced Concepts for Intelligent Vision Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Detection and localization of unspecified similar fragments in random images is one of the most challenging problems in CBVIR (classic techniques focusing on full-image or sub-image retrieval usually fail in such a problem). We propose a new method for near-duplicate image fragment matching using a
topology-based
framework. The method works on visual data only, i.e. no semantics or a’priori knowledge is assumed. Near-duplicity of image fragments is modeled by topological constraints on sets of matched keypoints (instead of geometric constrains typically used in image matching). The paper reports a time-efficient (i.e. capable of working in real time with a video input) implementation of the proposed method. The application can be run using a mid-range personal computer and a medium-quality video camera.