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VisualLabel: An Integrated Multimedia Content Management and Access Framework

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Details

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXIX
EditorsV. Sornlertlamvanich, P. Chawakitchareon, A. Hansuebsai, C. Koopipat, B. Thalheim, Y. Kiyoki, H. Jaakkola, N. Yoshida
Place of PublicationAmsterdam
PublisherIOS Press
Pages321-342
ISBN (Electronic)978-1-61499-834-1
ISBN (Print)978-1-61499-833-4
DOIs
Publication statusPublished - Feb 2018
Publication typeA3 Part of a book or another research book

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume301
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Abstract

With the rapid growth of image and video data as well as the fast spread of user-generated content in social media and cloud services, it has become increasingly difficult for users to have efficient access and effective management of their digital content. In this paper we present a novel integrated open source multimedia content management and access framework, called VisualLabel, that enables smart photo services based on automated visual content analysis, annotation, search and retrieval using state of the art analysis back ends for services such as Facebook and Flickr. This paper includes detailed descriptions of the high-level architecture used in the VisualLabel framework and proof-of-concept implementations of a front-end service, along with three analysis back ends and a web client, all of which demonstrate the basic functionality provided by the framework.

Publication forum classification

Field of science, Statistics Finland