A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
Filters
Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation
2011
2011 IEEE Fifth International Conference on Semantic Computing
Preserved Fulltext
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 Wordnet and a geographical gazetteer. ...
and combination with diverse knowledge sources from the web can lead to better results than investigating only one stream of sensor input (e.g. reducing the task to an to image retrieval problem). ...
doi:10.1109/icsc.2011.37
dblp:conf/semco/ChoiF11
fatcat:bk233nzizrabfiaugtxavgzrpa
IM2GPS: estimating geographic information from a single image
2008
2008 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a simple algorithm for estimating a distribution over geographic locations from a single image using a purely data-driven scene matching approach. ...
Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. ...
and Flickr for sharing their computing and image resources with the research community. All visualizations and geographic data sources are derived from NASA data. ...
doi:10.1109/cvpr.2008.4587784
dblp:conf/cvpr/HaysE08
fatcat:yhuzxqiwabhgjco3okov5tdn3y
A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection
2019
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
RSISU includes the following sub-tasks: remote sensing image scene classification, remote sensing image scene retrieval, and scene-driven remote sensing image object detection. ...
As a fundamental and important task in remote sensing, remote sensing image scene understanding (RSISU) has attracted tremendous research interest in recent years. ...
As Figure 3 reveals, we transfer the task of RS image retrieval to the task of feature retrieval. ...
doi:10.3390/app9102110
fatcat:oj3acgbmwnhzppxvvjbsn5cfzq
Deep Convolutional Features for Image Based Retrieval and Scene Categorization
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We examine several pooling strategies and demonstrate superior performance on the image retrieval task (INRIA Holidays) at the fraction of the computational cost, while using a relatively small memory ...
We also introduce and evaluate a novel GeoPlaces5K dataset from different geographical locations in the world for image retrieval that stresses more dramatic changes in appearance and viewpoint. ...
The work of [7] proposed a data driven method for computing the coarse geographical location of an image using simpler features like GIST and color histograms. ...
arXiv:1509.06033v1
fatcat:q6jj7jwbz5fotercxumrk53tsy
Mental Processing of Geographic Knowledge
[chapter]
2001
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An actual mental image representation is constructed when needed to perform a specific task. In this construction process missing information is complemented to create a determinate mental image. ...
The internal structure and the operating of the model is elaborated using an exemplary scenario. Problems in constructing mental images from given pieces of knowledge are demonstrated and discussed. ...
Mental images (Finke, 1989; Kosslyn, 1980 Kosslyn, , 1994 are constructed in working memory when needed using pieces of information retrieved from long-term memory. ...
doi:10.1007/3-540-45424-1_25
fatcat:vhad3542evhadhm3ejoa6vg4te
Deep Learning based Enhanced Triplet Nework Model for Landmark Classification in Image Retrieval
2019
International Journal for Research in Applied Science and Engineering Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This research work focuses on, whether the visual and text content could be utilized over geographical correlation for landmark retrieval. ...
Landmark retrieval is a process of restoring a collection of images along its landmarks which is parallel to required images. ...
Geographic referencing of images include data-driven methods and model-based methods. ...
doi:10.22214/ijraset.2019.8138
fatcat:a3voqhbueffdfnfh6sgdw5r3k4
Dynamic Workflow Engine of Atmospheric Big Remote Sensing Data Processing Powered by Heterogenous Platform for High Performance Computing
2021
GI_FORUM - Journal for Geographic Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This platform simplifies the operation of complex geospatial information processing applications in the field of high-performance geographic computing and realizes the efficient processing of massive data ...
Therefore, the whole gas big remote sensing data processing is driven by the scheduling layer. The scheduling layer includes two key modules: task launcher and task scheduler. ...
doi:10.1553/giscience2021_01_s112
fatcat:leyk4ux5anf2hc4ogtxm42vxwa
Designing a Volunteered Geographic Information System for Road Data Validation
2019
Proceedings (MDPI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The objective of this work is to build a Volunteered Geographic Information System (VGIS) using a methodological design process. ...
Following this process helped to design a solution based on the project's information requirements to handle a road data tagging task, while offering an experience that meets the interests and needs of ...
The web map uses an 18-level zoom to visualize several tiles of the image on one side of the interface, along with roads information on the other. ...
doi:10.3390/proceedings2019019007
fatcat:gne2wt4acnfkfegtphsgg2uuyq
What makes Paris look like Paris?
2012
ACM Transactions on Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
elements at different geo-spatial scales, and geographically-informed image retrieval. ...
In addition, we face a hard search problem: given all possible patches in all images, which of them are both frequently occurring and geographically informative? ...
This work is a part of a larger effort with Dan Huttenlocher and David Crandall, on modeling geo-informative visual attributes. We thank Google for letting us publish the Street View images. ...
doi:10.1145/2185520.2335452
fatcat:vtoxulxwqrcdtjxtijbgddrdhm
What makes Paris look like Paris?
2012
ACM Transactions on Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
elements at different geo-spatial scales, and geographically-informed image retrieval. ...
In addition, we face a hard search problem: given all possible patches in all images, which of them are both frequently occurring and geographically informative? ...
This work is a part of a larger effort with Dan Huttenlocher and David Crandall, on modeling geo-informative visual attributes. We thank Google for letting us publish the Street View images. ...
doi:10.1145/2185520.2185597
fatcat:vo67dw6kjjdcrnw3u6acaumtfe
What makes Paris look like Paris?
2015
Communications of the ACM
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
elements at different geo-spatial scales, and geographically-informed image retrieval. ...
In addition, we face a hard search problem: given all possible patches in all images, which of them are both frequently occurring and geographically informative? ...
This work is a part of a larger effort with Dan Huttenlocher and David Crandall, on modeling geo-informative visual attributes. We thank Google for letting us publish the Street View images. ...
doi:10.1145/2830541
fatcat:6h4ynxh72vez7iazwui5usvnay
A TASK-DRIVEN DISASTER DATA LINK APPROACH
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The method breaks through traditional static management of disaster data and establishes a base for intelligent retrieval and active push of disaster information. ...
The case study presented in this paper illustrates the use of the method with a flood emergency relief task. ...
For example, the post-disaster raster image is used as a background to show information of disaster area as rich as possible, the images of ZY-3 satellite was often chosen in this application, then the ...
doi:10.5194/isprsarchives-xl-3-w3-179-2015
fatcat:ohvmnw2refgopbjhtti4cfqrva
Food recognition and recipe analysis: integrating visual content, context and external knowledge
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
of food-related information. ...
our individual and social life, combined with recent technological advances, has motivated a growing interest in applications that help to better monitor dietary habits as well as the exploration and retrieval ...
Although some datasets can be used to evaluate multiple tasks, we will roughly distinguish between three groups, according to the main task: general food recognition, recipe analysis/retrieval, and restaurantbased ...
arXiv:1801.07239v1
fatcat:kbcpto5iznhkddvdklwxxbtehm
Ontology-based topological representation of remote-sensing images
2013
International Journal of Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This representation has been validated by a case study of semantic retrieval based on the Normalised Vegetation Index (NDVI), taking into account the topological relations between NDVI regions in images ...
Our aim is to provide an explicit definition in ontologies of the topological relations between objects in the image using the Quadtree data structure for spatial indexing. ...
image regions for information retrieval. ...
doi:10.1080/01431161.2013.858847
fatcat:o55zwnbalzfz7ch6knunnueu5q
Geographic Information Retrieval
2011
SIGSPATIAL Special
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
The scope includes, but is not limited to, geographic information systems. ...
The SIGSPATIAL Special is the newsletter of the Association for Computing Machinery (ACM) Special Interest Group on Spatial Information (SIGSPATIAL). ...
The dimensions of context and its role in mobile information retrieval.
David Mountain Department of Information Science, City University London, UK D.M.Mountain@city.ac.uk ...
doi:10.1145/2047296.2047297
fatcat:npmfk7kdhrailfrgyyaszkj6wi
« Previous
Showing results 1 — 15 out of 32,189 results