GeoUGV: User-generated mobile video dataset with fine granularity spatial metadata
When analyzing and processing videos, it has become increasingly important in many
applications to also consider contextual information, in addition to the content. With the …
applications to also consider contextual information, in addition to the content. With the …
RealROI: Discovering Real Regions of Interest From Geotagged Photos
Given a set of geotagged photos with a view direction, the discovering real regions of
interest (DRRI) problem identifies real regions of Interest (RealROIs) in the photos. The …
interest (DRRI) problem identifies real regions of Interest (RealROIs) in the photos. The …
A crowd-based image learning framework using edge computing for smart city applications
G Constantinou, GS Ramachandran… - 2019 IEEE Fifth …, 2019 - ieeexplore.ieee.org
Smart city applications covering a wide area such as traffic monitoring and pothole detection
are gradually adopting more image machine learning algorithms utilizing ubiquitous camera …
are gradually adopting more image machine learning algorithms utilizing ubiquitous camera …
Efficient Indexing and Querying of Geo-Tagged Mobile Videos
Y Lu - 2018 - search.proquest.com
We are witnessing a significant growth in the number of smartphone users and advances in
phone sensor technology. More recently, driven by the advances in control engineering …
phone sensor technology. More recently, driven by the advances in control engineering …
Geographical topic learning for social images with a deep neural network
J Feng, X Xu - Journal of Electronic Imaging, 2017 - spiedigitallibrary.org
The use of geographical tagging in social-media images is becoming a part of image
metadata and a great interest for geographical information science. It is well recognized that …
metadata and a great interest for geographical information science. It is well recognized that …