Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
On-line Algorithms in Machine Learning
Developments from a June 1996 seminar on Online algorithms: the state of the art
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Formulating Semantic Image Annotation as a Supervised Learning Problem
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Generating summary keywords for emails using topics
Proceedings of the 13th international conference on Intelligent user interfaces
Intelligent email: reply and attachment prediction
Proceedings of the 13th international conference on Intelligent user interfaces
Classification and annotation of digital photos using optical context data
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Annotating personal albums via web mining
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Mining social networks for personalized email prioritization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Java-ML: A Machine Learning Library
The Journal of Machine Learning Research
Mining city landmarks from blogs by graph modeling
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Bayesian fusion of camera metadata cues in semantic scene classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Semi-supervised learning for image annotation based on conditional random fields
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
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Through a recent survey, we observe that a significant percentage of people still share photos through email. When an user composes an email with an attachment, he/she most likely talks about the attachment in the body of the email. In this paper, we develop a supervised machine learning framework to extract keywords relevant to the attachments from the body of the email. The extracted keywords can then be stored as an extended attribute to the file on the local filesystem. Both desktop indexing software and web-based image search portals can leverage the context-enriched keywords to enable a richer search experience. Our results on the public Enron email dataset shows that the proposed extraction framework provides both high precision and recall. As a proof of concept, we have also implemented a version of the proposed algorithms as a Mozilla Thunderbird Add-on.