DocumentCode :
2057607
Title :
Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation
Author :
Choi, Jaeyoung ; Friedland, Gerald
Author_Institution :
Dept. of EECS, Univ. of California, Berkeley, CA, USA
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
243
Lastpage :
246
Abstract :
The following article describes two approaches to determining the geo-coordinates of the recording place of Flickr videos based on textual metadata. The systems are tested on the MediaEval 2010 Placing Task evaluation data, which consists of 5091 unfiltered test videos and metadata records. The first system is a data-driven approach that uses a heuristics based on the spatial variance of tags. The second one extends this heuristics by using semantic technologies, such as extended Word net and a geographical gazetteer. The performance peaks at being able to classify 14% of the videos to within an accuracy of 10m. The article present the two algorithms, evaluates their accuracy and discusses the advantages and disadvantages of using Semantic technologies for this task.
Keywords :
meta data; video retrieval; Flickr videos; MediaEval 2010 Placing Task evaluation data; data-driven tag-based video location estimation; geocoordinates; metadata; semantic-technology-driven tag-based video location estimation; Accuracy; Cities and towns; Databases; Estimation; Semantics; Streaming media; Training; data-driven; location estimation; semantic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
Type :
conf
DOI :
10.1109/ICSC.2011.37
Filename :
6061341
Link To Document :
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