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Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
When a notable event occurs, social media serves a popular platform for citizens to share event-related information.  ...  Firstly, we introduce the event model and the characteristics of social media data.  ...  Then, the dual structure constrained multimodal feature coding model was used to conduct multimodal data representations.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

Deep Learning Techniques for Future Intelligent Cross-Media Retrieval [article]

Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han
2020 arXiv   pre-print
It plays a significant role in big data applications and consists in searching and finding data from different types of media.  ...  Moreover, we also present an extensive review of the state-of-the-art problems and its corresponding solutions for encouraging deep learning in cross-media retrieval.  ...  It consists of 31783 images collected from Flickr.  ... 
arXiv:2008.01191v1 fatcat:t63bg55w2vdqjcprzaaidrmprq

Event Mining in Multimedia Streams

Lexing Xie, H. Sundaram, M. Campbell
2008 Proceedings of the IEEE  
These aspects are: the variants of tasks and event definitions that constrain system design, the media capture setup that collectively define the available data and necessary domain assumptions, the feature  ...  We discuss five main aspects of an event detection system.  ...  Acknowledgment The authors would like to thank the anonymous reviewers for their valuable and constructive comments that helped improve the presentation of this paper substantially.  ... 
doi:10.1109/jproc.2008.916362 fatcat:b3utldtbwvehjo4brlnteetdbq

Non-sequential decomposition, composition and presentation of multimedia content

Manfred del Fabro
2011 ACM SIGMultimedia Records  
page_id=279 Table 4 . 4 1: Details about community-contributed data related to certain social events photos can be retrieved from Flickr than for the two soccer matches.  ...  information for the news coverage of social events.  ... 
doi:10.1145/2132503.2132506 fatcat:auugpu2pznbq7jskuuo627treu

A multimodal feature learning approach for sentiment analysis of social network multimedia

Claudio Baecchi, Tiberio Uricchio, Marco Bertini, Alberto Del Bimbo
2015 Multimedia tools and applications  
In this paper we investigate the use of a multimodal feature learning approach, using neural network based models such as Skip-gram and Denoising Autoencoders, to address sentiment analysis of micro-blogging  ...  , that are recoverable from partial observations that may be due to occlusions or noisy and heavily modified images.  ...  [34] have proposed a hybrid link graph for images of social events, weighting links based on textual emotion information, visual similarity and social similarity.  ... 
doi:10.1007/s11042-015-2646-x fatcat:nbaw3j4opnagfiqmru5lpyxuda

Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring

John Patrick Connors, Shufei Lei, Maggi Kelly
2012 Annals of the Association of American Geographers  
The interface between neogeography and citizen science has great potential for environmental monitoring, but this nexus has been explored less often than each subject individually.  ...  We next explore how these methods characterize and underpin knowledge discovery and how multimodal interaction is supported so that a large spectrum of contributors can be included.  ...  VGI (from projectspecific data to agglomerative geotagged information on the Web) and providing a multimodal interaction platform for its intentional and unintentional participants.  ... 
doi:10.1080/00045608.2011.627058 fatcat:rcojzfhyh5a45b4lf2hpkprqvq

Discourse 2.0: Language and new mediaTannenDeborahTresterAnna Marie (eds), Discourse 2.0: Language and new media, Georgetown University Press: Washington, DC, 2013; 258 pp.: ISBN 9781589019546, $44.95 (pbk)

Karen Correia Da Silva
2014 New Media & Society  
In addition, we greatly appreciate the careful reading of our chapter and comments and suggestions that we received from Deborah Tannen.  ...  Finally, I am grateful to Susan Herring and Anna Marie Trester for helpful comments on an earlier draft.  ...  In addition, I use data from online interviews to explain why such discourses exist on Flickr.  ... 
doi:10.1177/1461444814524163b fatcat:lix7m4khk5ep3f7d3ftd3psx3q

Fashion Meets Computer Vision: A Survey [article]

Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, Jiaying Liu
2021 arXiv   pre-print
Given the rapid development, this paper provides a comprehensive survey of more than 200 major fashion-related works covering four main aspects for enabling intelligent fashion: (1) Fashion detection includes  ...  Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years.  ...  data from shopping sites.  ... 
arXiv:2003.13988v2 fatcat:ajzvyn4ck5gqxk5ht5u3mrdmba

Content-based visual search learned from social media

Xirong Li
2012 ACM SIGMultimedia Records  
It is my pleasure to work in the ISIS group: Michael, Ivo, and Jan as my ping pong mates for years, Victoria, Vladimir, Dung, and Stratios for sharing offices, Cor, Jan-Mark, and Theo for interesting discussions  ...  , Gosia and Hamdi for the ISIS dinners, Daan and Bouke for sharing conference hotels, and our secretary Virginie who helped me much in the past years.  ...  A novel source of labeled images for concept detection are user-tagged images on the social web such as those on Flickr and Facebook.  ... 
doi:10.1145/2206765.2206774 fatcat:kxk6kciwhfe2hcqw546ez2coku

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer
2017 IEEE Geoscience and Remote Sensing Magazine  
In this article, we analyze the challenges of using deep learning for remote sensing data analysis, review the recent advances, and provide resources to make deep learning in remote sensing ridiculously  ...  Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important.  ...  Salberg [102] proposed extracting features from the pretrained AlexNet model and applying the deep CNN features for automatic detection of seals in aerial images.  ... 
doi:10.1109/mgrs.2017.2762307 fatcat:ec7b32lpdnhvzbdz2uoayw6anq

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
This is because raster representations are constrained by their spatial resolution, and their regular shapes result in redundant data for unoccupied areas.  ...  The total area covered by a WSN is obtained from the union of the regions covered by individual sensors.  ...  References Cressie NAC, 1993, Statistics for spatial data, Wiley, New York. d'Oleire-Oltmanns S, Marzolff I, Tiede D, and Blaschke T, 2014, Detection of gully-affected areas by applying object-based image  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

LifeLogging: Personal Big Data

Cathal Gurrin, Alan F. Smeaton, Aiden R. Doherty
2014 Foundations and Trends in Information Retrieval  
This review is a suitable reference for those seeking a information retrieval scientist's perspective on lifelogging and the quantified self.  ...  Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment.  ...  Semantic concepts are usually automatically detected in a mathematical way by mapping low-level features to high-level features.  ... 
doi:10.1561/1500000033 fatcat:lmpz4lsn2jbmtkz4tejukyju24

Monitoring the Application [chapter]

Adam Shackelford
2015 Beginning Amazon Web Services with Node.js  
Pinax is a application plug-in for Django that offers a plethora of features to "socialize" any project.  ...  Software development is required for array-event detect, network and GPS timing, multi-hopping the data, and near real-time data analysis and modeling.  ...  His latest project,, provides a torrent of information culled from public databases, media sites and social media like Flickr for more than a dozen cities.  ... 
doi:10.1007/978-1-4842-0653-9_7 fatcat:b6s3wv3jcvf6xiniouokdhwtba

Social Knowledge Creation: Three Annotated Bibliographies

Alyssa Arbuckle, Belojevic Nina, Matthew Hiebert, Ray Siemens, Shaun Wong, Derek Siemens, Alex Christie, Jon Saklofske, Jentery Sayers, INKE Research Group, ETCL Research Group
2014 Scholarly and Research Communication  
The items for the bibliographies were gathered and annotated by members of the Electronic Textual Cultures Lab (ETCL) to form this tripartite document as a resource for students and researchers involved  ...  the Electronic Textual Cultures Lab (ETCL), University of Victoria, in collaboration with Implementing New Knowledge Environments (INKE), developed three annotated bibliographies under the rubric of social  ...  Wikimarks: An approach proposition for generating collaborative, structured content from social networking sharing on the web.  ... 
doi:10.22230/src.2014v5n2a150 fatcat:bau2kvmecrcgbphbihalen5tf4

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  We introduce 16 specific BM-related topics in those four parts, they are Data, Knowledge, Computing System, Parallel Training System, Language Model, Vision Model, Multi-modal Model, Theory&Interpretability  ...  It consists of 22M questions, including various images from MSCOCO and Flickr.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4
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