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Eolas: Video Retrieval Application for Helping Tourists

Authors: 

Zhenxing Zhang, Yang Yang, Ran Cui, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In this paper, a video retrieval application for the Android mobile platform is described. The application utilises computer vision technologies that, given a photo of a landmark of interest, will automat- ically locate online videos about that landmark. Content-based video retrieval technologies are adopted to find the most relevant videos based on visual similarity of video content. The system has been evaluated us- ing a custom test collection with human annotated ground truth. We show that our system is effective, both in terms of speed and accuracy. This application is proposed for demonstration at MMM2014 and we are sure that this application would benefit tourists either planning travel or while travelling in real-time.
Conference Name: 
The 20th Anniversary International Conference on MultiMedia Modeling Dublin,
Proceedings: 
The 20th Anniversary International Conference on MultiMedia Modeling Dublin,
Digital Object Identifer (DOI): 
10.1007/978-3-319-04117-9_44
Publication Date: 
06/01/2014
Conference Location: 
Ireland
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes