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Detecting non-gaussian geographical topics in tagged photo collections

Christoph Carl Kling, Jérôme Kunegis, Sergej Sizov, Steffen Staab
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the 7th ACM international conference on Web search and data mining - WSDM &#39;14</a> </i> &nbsp;
Nowadays, large collections of photos are tagged with GPS coordinates.  ...  In this paper, we propose a novel geographical topic model which captures dependencies between geographical regions to support the detection of topics with complex, non-Gaussian distributed spatial structures  ...  set of topics, an assumption used for prediction (e.g. tag recommendation) (2) Recognition of topics with complex (e.g. non-Gaussian) spatial distributions (3) Detection of coherent topic regions that  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2556195.2556218">doi:10.1145/2556195.2556218</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/KlingKSS14.html">dblp:conf/wsdm/KlingKSS14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ghlfpn67efaunjwqn3skpzfjsq">fatcat:ghlfpn67efaunjwqn3skpzfjsq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810150223/https://userpages.uni-koblenz.de/~staab/Research/Publications/2014/wsdm051-klingATS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4c/20/4c2032835b61c94164721e181142f4577331fb2e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2556195.2556218"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Uncovering locally characterizing regions within geotagged data

Bart Thomee, Adam Rae
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 22nd international conference on World Wide Web - WWW &#39;13</a> </i> &nbsp;
We demonstrate our technique operating at scale by discovering the boundaries of the most geospatially salient tags associated with a large collection of georeferenced photos from Flickr and compare our  ...  We propose a novel algorithm for uncovering the colloquial boundaries of locally characterizing regions present in collections of labeled geospatial data.  ...  tags based on the geographic location and the timestamp of a given photo.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2488388.2488500">doi:10.1145/2488388.2488500</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/ThomeeR13.html">dblp:conf/www/ThomeeR13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxlkbktbgfg5fbf7pspeu27dh4">fatcat:sxlkbktbgfg5fbf7pspeu27dh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160312035629/http://www2013.org/proceedings/p1285.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/77/5a77ce874d73e561e5159e595d1071a5fe50a966.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2488388.2488500"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Automatic discovery of global and local equivalence relationships in labeled geo-spatial data

Bart Thomee, Gianmarco De Francisci Morales
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rlbme3lpqzcqnmggrcv27szery" style="color: black;">Proceedings of the 25th ACM conference on Hypertext and social media - HT &#39;14</a> </i> &nbsp;
We propose a novel algorithmic framework to automatically detect which labels refer to the same concept in labeled spatial data.  ...  Our approach is able to classify equivalent tags with a high accuracy (AUC of 0.85), as well as providing the geographic extent where the relationship holds.  ...  [45] try to discover spatiotemporal relationships in collections of tagged photos.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2631775.2631794">doi:10.1145/2631775.2631794</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ht/ThomeeM14.html">dblp:conf/ht/ThomeeM14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4vi34lqqzfenlkjene7u5tqv6a">fatcat:4vi34lqqzfenlkjene7u5tqv6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829091451/https://melmeric.files.wordpress.com/2014/07/automatic-discovery-of-global-and-local-equivalence-relationships-in-labeled-geo-spatial-data1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/8c/3d8c532a62a960401354a1428537e1561ef1c444.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2631775.2631794"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Learning Landmarks by Exploiting Social Media [chapter]

Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Yin Wang, Ming-Fang Weng, Yung-Yu Chuang
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Further verification by utilizing Wikipedia articles filters out non-landmark tags.  ...  The resultant ontology could be used in tag suggestion and content-relevant re-ranking.  ...  Because we have eliminated non-geographic tags in the previous step, the remaining co-occurred tags are very likely geographically related.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-11301-7_23">doi:10.1007/978-3-642-11301-7_23</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bp35iyyq35b63ee2cokxas36xi">fatcat:bp35iyyq35b63ee2cokxas36xi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120730161103/http://mpac.ee.ntu.edu.tw/~chiakai/papers/liang_mmm2010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/93/e8938ca0539df5daa80044331d2062402a367eda.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-11301-7_23"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A visual analysis of the relationship between word concepts and geographical locations

Keiji Yanai, Hidetoshi Kawakubo, Bingyu Qiu
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2xkv6wxeijegdpwsmlltwaoyje" style="color: black;">Proceeding of the ACM International Conference on Image and Video Retrieval - CIVR &#39;09</a> </i> &nbsp;
In this paper, we describe two methods to analyze the relationship between word concepts and geographical locations by using a large amount of geotagged images on the photo sharing Web sites such as Flickr  ...  Then, based on geographic information of the images, representative regions are automatically detected.  ...  [9] select a summary set of photos from a large collection of geotagged photographs based on only tags and geo-tags.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1646396.1646414">doi:10.1145/1646396.1646414</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/civr/YanaiKQ09.html">dblp:conf/civr/YanaiKQ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2brb4ipyxvahlkntghwa4dksjq">fatcat:2brb4ipyxvahlkntghwa4dksjq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809110914/http://mm.cs.uec.ac.jp/e/doc/civr2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/e6/94e61a7d6461e0452ba08b5c8bd09f48d57c7226.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1646396.1646414"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Research and applications on georeferenced multimedia: a survey

Yan-Tao Zheng, Zheng-Jun Zha, Tat-Seng Chua
<span title="2010-11-05">2010</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7inqmh346zfjjizjyieh7ijtma" style="color: black;">Multimedia tools and applications</a> </i> &nbsp;
world, and (4) estimating geographic location of a photo.  ...  In recent years, the emergence of georeferenced media, like geotagged photos, on the Internet has opened up a new world of possibilities for geographic related research and applications.  ...  Not only summarizing collections with a subset of photos, the system [38] also generates a "Tag Map" to visualize the distribution of textual-topical tags representative to a particular spatial region  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-010-0630-z">doi:10.1007/s11042-010-0630-z</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5andae7vyraahn3xaqc25x7dui">fatcat:5andae7vyraahn3xaqc25x7dui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808103606/http://lms.comp.nus.edu.sg/sites/default/files/publication-attachments/ZhaZJ_J02_Research%20and%20applications%20on%20georeferenced%20multimedia%20-%20a%20survey.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/33/5633ac535f57767d8ceaebfd40b26b54fa2a8639.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-010-0630-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Estimating the semantic type of events using location features from Flickr

Steven Van Canneyt, Steven Schockaert, Bart Dhoedt
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/efsdrpmhrvefnfnsxacgjfhnva" style="color: black;">Proceedings of the 8th Workshop on Geographic Information Retrieval - GIR &#39;14</a> </i> &nbsp;
In particular, we use the tags associated with Flickr photos and the types of the known events near the venue of the event as context information.  ...  Various methods for automatically detecting events from social media have been developed in recent years.  ...  We are grateful to Olivier Van Laere for his help with collecting some of the data we have used in this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2675354.2675700">doi:10.1145/2675354.2675700</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/gir/CanneytSD14.html">dblp:conf/gir/CanneytSD14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lpki6n6nije3xhdhd35awm2m2u">fatcat:lpki6n6nije3xhdhd35awm2m2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160216222925/http://linkedcubes.com/pdf/GIR2014_StevenVanCanneyt.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/b3/67b367d9be21b0af94f8abe63ed94f8032cf3827.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2675354.2675700"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

PhotoStand

Hanan Samet, Marco D. Adelfio, Brendan C. Fruin, Michael D. Lieberman, Jagan Sankaranarayanan
<span title="2013-08-28">2013</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
In addition, the clusters provide a filtering step for detecting near-duplicate news photos.  ...  PhotoStand enables the use of a map query interface to retrieve news photos associated with news articles that are in turn associated with the principal locations that they mention collected as a result  ...  RELATED WORK Most of the work in associating geographic locations with images has dealt with images that correspond to photos and involves tags generated by humans (often just the dateline of the associated  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/2536274.2536313">doi:10.14778/2536274.2536313</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4bslv3vgqjduvjanf32bzsxhh4">fatcat:4bslv3vgqjduvjanf32bzsxhh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705061956/http://db.disi.unitn.eu/pages/VLDBProgram/pdf/demo/p820-samet.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/7d/b87d625e0509ed79af12b62bce6f41882b51e9c1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/2536274.2536313"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Robust detection of hyper-local events from geotagged social media data

Ke Xie, Chaolun Xia, Nir Grinberg, Raz Schwartz, Mor Naaman
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the Thirteenth International Workshop on Multimedia Data Mining - MDMKDD &#39;13</a> </i> &nbsp;
Testing on a large-scale dataset of New York City photos, our system detects hyper-local events with high accuracy.  ...  We present a method for real-time hyper-local event detection from Instagram photos data, using two computational steps.  ...  Data Collecting and Dataset In this paper, we consider only geo-tagged data from Instagram, a popular photo sharing service.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2501217.2501219">doi:10.1145/2501217.2501219</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/XieXGSN13.html">dblp:conf/kdd/XieXGSN13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/77hh2qu4mbedvlabehlt3n6pau">fatcat:77hh2qu4mbedvlabehlt3n6pau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160610092330/http://www.nirg.net/papers/robust-detection-sm-hyperlocal-events.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/48/264824869e5c389fa1ac7952f3af9c57d1d97a5f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2501217.2501219"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Can Geotags Help Image Recognition? [chapter]

Keita Yaegashi, Keiji Yanai
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
For example, "beach" photos can be taken near the sea and "lion" photos can be taken only in a zoo except Africa.  ...  The experimental results demonstrate effectiveness of usage of geographical information for recognition of consumer photos.  ...  [1] is also a probabilistic model to detect latent topics from text documents represented by bag-of-words.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-92957-4_32">doi:10.1007/978-3-540-92957-4_32</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dvzfejvhknd2fffbnw23jbhl6i">fatcat:dvzfejvhknd2fffbnw23jbhl6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180729163755/https://link.springer.com/content/pdf/10.1007%2F978-3-540-92957-4_32.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/f3/d7f39a42e815576aba69f0ec972e4238539b0224.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-92957-4_32"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards compact topical descriptors

Rongrong Ji, Ling-Yu Duan, Jie Chen, Wen Gao
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2012 IEEE Conference on Computer Vision and Pattern Recognition</a> </i> &nbsp;
We quantize our performance in both Im-ageNet10K and NUS-WIDE, with comparisons to bag-ofwords, LDA, miniBoF, and Aggregated Local Descriptors.  ...  In practice, we also implement our descriptor for a low bit rate mobile visual search application, i.e. sending compact descriptors instead of the image to reduce the query delivery latency.  ...  Through relaxing the normalized constraints made in the traditional topical features, we perform a iterated bi-convex optimization including word-topic-image hierarchical sparse coding and topic-to-word  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2012.6248020">doi:10.1109/cvpr.2012.6248020</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/JiDCG12.html">dblp:conf/cvpr/JiDCG12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ms3w2fws5bb7hlt45eozhfornu">fatcat:ms3w2fws5bb7hlt45eozhfornu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20131117031041/http://imt.xmu.edu.cn:80/publication/CVPR%202012-Towards%20Compact%20Topical%20Descriptor.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/24/fa2407076830e4cb34148d8c673b54d4f110190e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2012.6248020"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Robust Noise Resistant Algorithm for POI Identification from Flickr Data

Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao
<span title="">2017</span> <i title="International Joint Conferences on Artificial Intelligence Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfwwmrihanevtjbbkti2kc3nke" style="color: black;">Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence</a> </i> &nbsp;
Flickr, Microblog) is one of the most popular research topics in recent years. However, there exist large amounts of noises (POI irrelevant data) in such crowd-contributed collections.  ...  Then the technique is extended into the geographical and textual joint space so that it can make use of the heterogeneous features of social media.  ...  We use the Flickr API 3 to collect the photos (including geographical locations, textual tags, and taken time) of a city.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2017/460">doi:10.24963/ijcai.2017/460</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcai/YangGLUCH17.html">dblp:conf/ijcai/YangGLUCH17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sp6aeb42urfppglscaep4po4na">fatcat:sp6aeb42urfppglscaep4po4na</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719221127/https://www.ijcai.org/proceedings/2017/0460.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/13/a613fa35ad48b71cec65d28f915e41d783fb7f96.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2017/460"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Paint the City Colorfully: Location Visualization from Multiple Themes [chapter]

Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this work, we propose to organize photos both geographically and thematically, and investigate the problem of location visualization from multiple themes.  ...  The prevalence of digital photo capturing devices has generated large-scale photos with geographical information, leading to interesting tasks like geographically organizing photos and location visualization  ...  POI Detection. Given a large collection of geotagged photos we want to automatically find popular places at which people take photos.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-35725-1_9">doi:10.1007/978-3-642-35725-1_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qtaj44hmwfcclopejrkvvcc4bm">fatcat:qtaj44hmwfcclopejrkvvcc4bm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160806015559/http://nlpr-web.ia.ac.cn:80/mmc/homepage/qfang/document/MMM2013/MMM%202013-LVMT.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/11/d111b103e677735b60ae7930aa2a4141c3ed228c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-35725-1_9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Land cover classification using geo-referenced photos

Daniel Leung, Shawn Newsam
<span title="2014-09-19">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7inqmh346zfjjizjyieh7ijtma" style="color: black;">Multimedia tools and applications</a> </i> &nbsp;
This e-offprint is for personal use only and shall not be selfarchived in electronic repositories.  ...  You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given  ...  Acknowledgments This work was funded in part by a National Science Foundation CAREER grant (IIS-1150115) and a US Department of Energy Early Career Scientist and Engineer/PECASE award.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-014-2261-2">doi:10.1007/s11042-014-2261-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/37yy3g5rq5bntpvncplfjoxa3e">fatcat:37yy3g5rq5bntpvncplfjoxa3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160908181525/http://vision.ucmerced.edu/projects/socialmultimedia/papers/Leung_MTAP14_LandCoverClassification.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/02/7a/027ad7a3b9c2c23905b732a80d63a86a508242cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-014-2261-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Generating diverse and representative image search results for landmarks

Lyndon S. Kennedy, Mor Naaman
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceeding of the 17th international conference on World Wide Web - WWW &#39;08</a> </i> &nbsp;
We evaluate the system in the context of image search using a real-life dataset of 110,000 images from the San Francisco area.  ...  To do that, we using location and other metadata, as well as tags associated with images, and the images' visual features. We present an approach to extracting tags that represent landmarks.  ...  any number of photos in Rx. 1 DETECTING TAGS AS GEOGRAPHIC FEATURES This section briefly describes potential approaches for extracting tags that represent geographic features or landmarks (referred  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1367497.1367539">doi:10.1145/1367497.1367539</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/KennedyN08.html">dblp:conf/www/KennedyN08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tujhcsznvzfxhndywvimj5biyy">fatcat:tujhcsznvzfxhndywvimj5biyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160316143230/http://www2008.org/papers/pdf/p297-kennedy.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/85/e185b4cde3cd3acccad0615761e3720bc4089866.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1367497.1367539"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
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