Publication Details

Title: The 2012 ICSI/Berkeley Video Location Estimation System
Author: J. Choi, V. Ekambaram, G. Friedland, and K. Ramchandran
Bibliographic Information: Presented at the MediaEval 2012 Workshop, Pisa, Italy
Date: October 2012
Research Area: Audio and Multimedia
Type: Talk or presentation
PDF: http://www.icsi.berkeley.edu/pubs/speech/ICSI_MediaEval2012_paper.pdf

Overview:
In this paper, we describe the ICSI/Berkeley video location estimation system presented at the MediaEval 2012 Placing Task. We describe the graphical model based framework that poses the geo-tagging problem as inference over the graph. Our algorithm jointly estimates the geo-locations of all the test videos, which helps obtain performance improvements over existing algorithms in the literature that process each query video independently. Our modeling provides a generic theoretical framework that can be used to incorporate any other available textual, visual or audio features. The presentation may be found at http://www.icsi.berkeley.edu/pubs/speech/ICSI_MediaEval2012_presentation.pdf .

Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants IIS : 1138599 (“EAGER: Collecting Training Videos for Location Estimation with Mechanical Turk”) and CNS : 1065240 ("Understanding and Managing the Impact of Global Inference on Online Privacy"). Additional funding was provided by a KFAS Doctoral Study Abroad Fellowship. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.

Bibliographic Reference:
J. Choi, V. Ekambaram, G. Friedland, and K. Ramchandran. The 2012 ICSI/Berkeley Video Location Estimation System. Presented at the MediaEval 2012 Workshop, Pisa, Italy, October 2012