MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
Collective Evolutionary Indexing of Multimedia Objects
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Why meaningful automatic tagging of images is very hard
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Incorporating concept ontology into multi-level image indexing
Proceedings of the First International Conference on Internet Multimedia Computing and Service
A novel graph-based image annotation refinement algorithm
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Exploitation of time constraints for (sub-)event recognition
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
ACM Transactions on Intelligent Systems and Technology (TIST)
An annotation rule extraction algorithm for image retrieval
Pattern Recognition Letters
The effectiveness of image features based on fractal image coding for image annotation
Expert Systems with Applications: An International Journal
Structural image retrieval using automatic image annotation and region based inverted file
Journal of Visual Communication and Image Representation
Support vector description of clusters for content-based image annotation
Pattern Recognition
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As the number of web images is increasing at a rapid rate, searching them semantically presents a significant challenge. Many raw images are constantly uploaded with little meaningful direct annotations of semantic content, limiting their search and discovery. In this paper, we present a semantic annotation technique based on the use of image parametric dimensions and metadata. Using decision trees and rule induction, we develop a rule-based approach to formulate explicit annotations for images fully automatically, so that by the use of our method, semantic query such as " sunset by the sea in autumn in New York" can be answered and indexed purely by machine. Our system is evaluated quantitatively using more than 100,000 web images. Experimental results indicate that this approach is able to deliver highly competent performance, attaining good recall and precision rates of sometimes over 80%. This approach enables a new degree of semantic richness to be automatically associated with images which previously can only be performed manually.