Foundations of statistical natural language processing
Foundations of statistical natural language processing
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fast communication: Dominant sets clustering for image retrieval
Signal Processing
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Combining graph connectivity & dominant set clustering for video summarization
Multimedia Tools and Applications
A new graph-theoretic approach to clustering and segmentation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
On image retrieval using salient regions with vector-spaces and latent semantics
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
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We present a brief overview of the way in which image analysis, coupled with associated collateral text, is being used for auto-annotation and sentiment analysis. In particular, we describe our approach to auto-annotation using the graph-theoretic dominant set clustering algorithm and the annotation of images with sentiment scores from SentiWordNet. Preliminary results are given for both, and our planned work aims to explore synergies between the two approaches.