Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
GCap: Graph-based Automatic Image Captioning
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 9 - Volume 09
Adaptive image retrieval using a Graph model for semantic feature integration
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Refining image annotation using contextual relations between words
Proceedings of the 6th ACM international conference on Image and video retrieval
Automated image annotation using global features and robust nonparametric density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
| Hi-index | 0.00 |
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations allow incorporation of such information. However, their behaviour has not been studied in this context. We conduct extensive experiments to show the properties of such representations using semantic relationships as a type of contextual information. We also experimented with different similarity measures for semantic features and results are presented.