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.
Original language | English |
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Title of host publication | The Proceedings of the 27th International Conference on Information Modelling and Knowledge Bases, EJC 2017 |
Editors | Virach Sornlertlamvanich, Petchporn Chawakitchareon, Aran Hansuebsai, Chawan Koopipat, Yasushi Kiyoki, Hannu Kangassalo, Bernhard Thalheim, Naofumi Yoshida |
Place of Publication | Thailand |
Publisher | Thammasat University |
Pages | 332-353 |
Number of pages | 22 |
ISBN (Electronic) | 978-616-407-165-0 |
Publication status | Published - 5 Jun 2017 |
MoE publication type | A3 Book section, Chapters in research books |
Event | International Conference on Information Modelling and Knowledge Bases - Krabi, Thailand Duration: 5 Jun 2017 → 9 Jun 2017 Conference number: 27 |
Conference
Conference | International Conference on Information Modelling and Knowledge Bases |
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Abbreviated title | EJC |
Country/Territory | Thailand |
City | Krabi |
Period | 05/06/2017 → 09/06/2017 |
Other | International Conference on Information Modelling and Knowledge Bases |