Museums and the Web

An annual conference exploring the social, cultural, design, technological, economic, and organizational issues of culture, science and heritage on-line.

You are hereICHIM / Content Based Image Identification on Cultural Databases

Content Based Image Identification on Cultural Databases


TitleContent Based Image Identification on Cultural Databases
Publication TypeConference Paper
Year of Publication2007
AuthorsValle, E., Cord M., & Phillipp-Foliguet S.
Secondary TitleInternational Cultural Heritage Informatics Meeting - ICHIM07: Proceedings
Conference Start DateOctober 24-26
PublisherArchives & Museum Informatics
Place PublishedToronto, Ontario, Canada
EditorTrant, J., & Bearman D.
KeywordsCBIR, copyright, image database, image identification, image retrieval, local descriptors
Abstract

Cultural institutions are often asked to perform the identification of images in newspapers, thesis and even postcards, where the references are too summary, missing or incorrect - in those cases, the visual data is the only reliable evidence for the identification. Image identification is challenging, because of the transformations the query image may have suffered: which include cropping, rotations, scale changes, etc. In this work we describe an automatic, content-based, system for image identification based on local descriptors. The indexing scheme we have developed allows the use of those descriptors without the long processing times normally associated to them.

URLhttp://www.archimuse.com/ichim07/papers/valle/valle.html