Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
The Wisdom of Crowds
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A Computational Framework to Study Public Health Epidemiology
IJCBS '09 Proceedings of the 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing
Introductory Time Series with R
Introductory Time Series with R
iRIN: image retrieval in image-rich information networks
Proceedings of the 19th international conference on World wide web
CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
Measuring media-based social interactions provided by smartphone applications in social networks
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
Proceedings of the fifth ACM international conference on Web search and data mining
Mining photo-sharing websites to study ecological phenomena
Proceedings of the 21st international conference on World Wide Web
Web image prediction using multivariate point processes
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
SocialTransfer: cross-domain transfer learning from social streams for media applications
Proceedings of the 20th ACM international conference on Multimedia
Predicting participants in public events using stock photos
Proceedings of the 20th ACM international conference on Multimedia
Latent geographic feature extraction from social media
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Time-sensitive web image ranking and retrieval via dynamic multi-task regression
Proceedings of the sixth ACM international conference on Web search and data mining
Proceedings of the sixth ACM international conference on Web search and data mining
Chelsea won, and you bought a t-shirt: characterizing the interplay between Twitter and e-commerce
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Analysis and forecasting of trending topics in online media streams
Proceedings of the 21st ACM international conference on Multimedia
A probablistic model for spatio-temporal signal extraction from social media
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Reliable spatio-temporal signal extraction and exploration from human activity records
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
| Hi-index | 0.00 |
Social multimedia hosting and sharing websites, such as Flickr, Facebook, Youtube, Picasa, ImageShack and Photobucket, are increasingly popular around the globe. A major trend in the current studies on social multimedia is using the social media sites as a source of huge amount of labeled data for solving large scale computer science problems in computer vision, data mining and multimedia. In this paper, we take a new path to explore the global trends and sentiments that can be drawn by analyzing the sharing patterns of uploaded and downloaded social multimedia. In a sense, each time an image or video is uploaded or viewed, it constitutes an implicit vote for (or against) the subject of the image. This vote carries along with it a rich set of associated data including time and (often) location information. By aggregating such votes across millions of Internet users, we reveal the wisdom that is embedded in social multimedia sites for social science applications such as politics, economics, and marketing. We believe that our work opens a brand new arena for the multimedia research community with a potentially big impact on society and social sciences.