TY - GEN
T1 - Mobile multimedia travelogue generation by exploring geo-locations and image tags
AU - Jiang, Shuhui
AU - Qian, Xueming
AU - Lan, Ke
AU - Zhang, Lei
AU - Mei, Tao
PY - 2013
Y1 - 2013
N2 - Traveling experience sharing has become pervasive. In this paper, we present a system which automatically generates a multimedia travelogue for mobile users. Multimedia travelogue shows user footprint with photos on the corresponding location on the map, which could offer the space distribution inner or between the locations. Meanwhile, location overviews with representative tags and images show comprehensive knowledge of the landmarks. The key challenges are: 1) when mapping footprint, some photos are without geo-tags; 2)user-contributed photos may be not clear and graceful; 3) to detect which landmark is actually on the photo to offer location overview. We solve these challenges by combining both geo-tags and tags to estimate the location. First we use the relationship of timestamp and geo-tag in the same trip group to estimate the footprints. Second we localize the landmark on the photo by tag match method which matching user tags with representative tags of the landmark. Experimental results on a Flickr image collection of nearly 2 million images of 6,581 users demonstrate the effectiveness of our approach.
AB - Traveling experience sharing has become pervasive. In this paper, we present a system which automatically generates a multimedia travelogue for mobile users. Multimedia travelogue shows user footprint with photos on the corresponding location on the map, which could offer the space distribution inner or between the locations. Meanwhile, location overviews with representative tags and images show comprehensive knowledge of the landmarks. The key challenges are: 1) when mapping footprint, some photos are without geo-tags; 2)user-contributed photos may be not clear and graceful; 3) to detect which landmark is actually on the photo to offer location overview. We solve these challenges by combining both geo-tags and tags to estimate the location. First we use the relationship of timestamp and geo-tag in the same trip group to estimate the footprints. Second we localize the landmark on the photo by tag match method which matching user tags with representative tags of the landmark. Experimental results on a Flickr image collection of nearly 2 million images of 6,581 users demonstrate the effectiveness of our approach.
UR - https://www.scopus.com/pages/publications/84883407064
U2 - 10.1109/ISCAS.2013.6571988
DO - 10.1109/ISCAS.2013.6571988
M3 - 会议稿件
AN - SCOPUS:84883407064
SN - 9781467357609
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 881
EP - 884
BT - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
T2 - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Y2 - 19 May 2013 through 23 May 2013
ER -