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Open and free datasets for multimedia retrieval

Erwin M. Bakker
2016 International Journal of Multimedia Information Retrieval  
Here, we present some of the recent free and open datasets for the scientific community.  ...  One of the pillars of the scientific community is open and free datasets.  ...  reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s13735-016-0106-7 fatcat:f4kgq6brfnep7jfga22wfgh2ke

[Invited Paper] A Review of Web Image Mining

Keiji Yanai
2015 ITE Transactions on Media Technology and Applications  
of visual concept database for image/video recognition, (2) Web image application for visual concept analysis and data-driven computer graphics, and (3) real-world sensing through Web images to detect  ...  In this paper, we review works related to big visual data on the Web in the literature of computer vision and multimedia research regarding the following points: (1) Web image acquisition for construction  ...  Do Hang Nga and anonymous reviewers.  ... 
doi:10.3169/mta.3.156 fatcat:gduk25dp7nedvm65xurbwzdu3y

Geotagging in multimedia and computer vision—a survey

Jiebo Luo, Dhiraj Joshi, Jie Yu, Andrew Gallagher
2010 Multimedia tools and applications  
The presence of geographically relevant metadata with images and videos has opened up interesting research avenues within the multimedia and computer vision domains.  ...  can benefit from the use of geographical information, and 3) The interplay between modalities and applications.  ...  Other applications consolidate a large-scale dataset of geo-tagged information to produce maps that indicate where things are in the world.  ... 
doi:10.1007/s11042-010-0623-y fatcat:esd7subpbjhntpes6quvngtwti

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

Keiji Yanai, Hidetoshi Kawakubo, Bingyu Qiu
2009 Proceeding of the ACM International Conference on Image and Video Retrieval - CIVR '09  
Then, based on geographic information of the images, representative regions are automatically detected.  ...  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  ...  They claimed that word concepts with low entropy are more appropriate for automatic image annotation [2] . Koskela et al.  ... 
doi:10.1145/1646396.1646414 dblp:conf/civr/YanaiKQ09 fatcat:2brb4ipyxvahlkntghwa4dksjq

Improving Image Classification with Location Context

Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
for most image classification and recognition problems.  ...  To evaluate our model and to help promote research in this area, we identify a set of location-sensitive concepts and annotate a subset of the Yahoo Flickr Creative Commons 100M dataset that has GPS coordinates  ...  We also introduce a large-scale geotagged dataset collected from real-world images to train our models and effectively evaluate performance.  ... 
doi:10.1109/iccv.2015.121 dblp:conf/iccv/TangPLFB15 fatcat:o45od7737bgrra4gdxd4aave7a

Improving Image Classification with Location Context [article]

Kevin Tang and Manohar Paluri and Li Fei-Fei and Rob Fergus and Lubomir Bourdev
2015 arXiv   pre-print
for most image classification and recognition problems.  ...  To evaluate our model and to help promote research in this area, we identify a set of location-sensitive concepts and annotate a subset of the Yahoo Flickr Creative Commons 100M dataset that has GPS coordinates  ...  We also introduce a large-scale geotagged dataset collected from real-world images to train our models and effectively evaluate performance.  ... 
arXiv:1505.03873v1 fatcat:xhas2vsmvfa2bmngozn6qa5ssq

Exploring the Distribution Patterns of Flickr Photos

Ding, Fan
2019 ISPRS International Journal of Geo-Information  
However, these applications and quality assessments are generally focused on images associated with geolocation through textual annotations, which is only part of valid images to them.  ...  In this paper, we explore the distribution pattern for most relevant VGI images of specific landmarks to extend the current quality analysis, and to provide guidance for improving the data-retrieval process  ...  [5] by using location and textual information to automatically identify landmarks on a city scale.  ... 
doi:10.3390/ijgi8090418 fatcat:j6ltq67s6rdsxfxe2sagcpe3xu

"I'm eating a sandwich in Glasgow"

Sheila Kinsella, Vanessa Murdock, Neil O'Hare
2011 Proceedings of the 3rd international workshop on Search and mining user-generated contents - SMUC '11  
We find that we can meet the performance of the industry standard tool for predicting both the tweet and the user at the country, state and city levels, and far exceed its performance at the hyper-local  ...  In this paper we create language models of locations using coordinates extracted from geotagged Twitter data.  ...  The work of Serdyukov et al. considered a small-scale data set of only 120,000 geotagged photos with textual metadata. We show results for large-scale data.  ... 
doi:10.1145/2065023.2065039 dblp:conf/cikm/KinsellaMO11 fatcat:nihahe25lrepzkzdl3cqyeubqa

Towards Bottom-Up Analysis of Social Food

Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales
2016 Proceedings of the 6th International Conference on Digital Health Conference - DH '16  
We highlight the current capabilities and future challenges and opportunities for such data-driven analysis of image content and the relation to hashtags.  ...  In this paper we perform the first large scale content analysis of Instagram posts, addressing both the image and the associated hashtags, aiming to understand the content of partiallylabelled images taken  ...  Out of 808,964 posts in our dataset, 315,806 of them (i.e.,39%) were geotagged. Out of the total of these 315,806 geotagged posts, 301,234 were successfully reverse geocoded.  ... 
doi:10.1145/2896338.2897734 dblp:conf/ehealth/RichHH16 fatcat:m5waanjzovfktklvlr25f73y4m

Towards Bottom-Up Analysis of Social Food [article]

Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales
2016 arXiv   pre-print
We highlight the current capabilities and future challenges and opportunities for such data-driven analysis of image content and the relation to hashtags.  ...  In this paper we perform the first large scale content analysis of Instagram posts, addressing both the image and the associated hashtags, aiming to understand the content of partially-labelled images  ...  Out of 808,964 posts in our dataset, 315,806 of them (i.e.,39%) were geotagged. Out of the total of these 315,806 geotagged posts, 301,234 were successfully reverse geocoded.  ... 
arXiv:1603.04497v1 fatcat:q3m6w2yfhzhk5efh3amzq2j4wq

User-Generated Content: A Promising Data Source for Urban Informatics [chapter]

Song Gao, Yu Liu, Yuhao Kang, Fan Zhang
2021 The Urban Book Series  
In addition, analysis of sentiment from geotagged texts and photos, along with the state-of-the-art artificial intelligence methods, is discussed to help understand the linkage between human emotions and  ...  Drawing on the analyses, we summarize a number of future research areas that call for attention in urban informatics.  ...  Acknowledgements Song Gao would like to thank the support of this research from the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison with funding  ... 
doi:10.1007/978-981-15-8983-6_28 fatcat:hhigrdxtkfbkpctappf237jy64

StreetStyle: Exploring world-wide clothing styles from millions of photos [article]

Kevin Matzen, Kavita Bala, Noah Snavely
2017 arXiv   pre-print
We present a framework for visual discovery at scale, analyzing clothing and fashion across millions of images of people around the world and spanning several years.  ...  We introduce a large-scale dataset of photos of people annotated with clothing attributes, and use this dataset to train attribute classifiers via deep learning.  ...  Clothing datasets. Most previous clothing style datasets have been very limited in scale, and biased towards images of the fashionconscious.  ... 
arXiv:1706.01869v1 fatcat:tjum5fmievad3f3bh522hlbjfq

Uncovering locally characterizing regions within geotagged data

Bart Thomee, Adam Rae
2013 Proceedings of the 22nd international conference on World Wide Web - WWW '13  
Important insights into the data can be acquired by visualizing the shape and size of the resulting boundaries for each label at multiple scales.  ...  We then derive region boundaries by applying localized label weighting and image processing techniques to the scalespace representation of each label.  ...  within large collections of labeled geotagged data at multiple scales using scale-space theory and image processing techniques. • Insights into the effects of scale on the shape, size and quantity of  ... 
doi:10.1145/2488388.2488500 dblp:conf/www/ThomeeR13 fatcat:sxlkbktbgfg5fbf7pspeu27dh4

Generating diverse and representative image search results for landmarks

Lyndon S. Kennedy, Mor Naaman
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
This approach can potentially scale to provide better search and representation for landmarks, worldwide.  ...  We show how to use unsupervised methods to extract representative views and images for each landmark.  ...  The photos were retrieved from the dataset of geotagged photos available on Flickr [8] . We discovered landmark tags in the dataset and their locations, using the methods described above.  ... 
doi:10.1145/1367497.1367539 dblp:conf/www/KennedyN08 fatcat:tujhcsznvzfxhndywvimj5biyy

Large scale detailed mapping of dengue vector breeding sites using street view images

Peter Haddawy, Poom Wettayakorn, Boonpakorn Nonthaleerak, Myat Su Yin, Anuwat Wiratsudakul, Johannes Schöning, Yongjua Laosiritaworn, Klestia Balla, Sirinut Euaungkanakul, Papichaya Quengdaeng, Kittipop Choknitipakin, Siripong Traivijitkhun (+3 others)
2019 PLoS Neglected Tropical Diseases  
We conclude that creation of container density maps from geotagged images is a promising approach to providing detailed risk maps at large scale.  ...  In this paper we present the design and implementation of a pipeline to detect outdoor open containers which constitute potential dengue vector breeding sites from geotagged images and to create highly  ...  The dataset was randomly split into 90% of the images for training and 10% for testing.  ... 
doi:10.1371/journal.pntd.0007555 pmid:31356617 pmcid:PMC6687207 fatcat:rxspk4vxujandfbyhsfhcvodpq
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