C4.5: programs for machine learning
C4.5: programs for machine learning
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A bootstrapping framework for annotating and retrieving WWW images
Proceedings of the 12th annual ACM international conference on Multimedia
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
WISA: a novel web image semantic analysis system
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
A novel method for personalized music recommendation
Expert Systems with Applications: An International Journal
Automatic Web Image Annotation via Web-Scale Image Semantic Space Learning
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
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
Information Sciences: an International Journal
Exploring Flickr's related tags for semantic annotation of web images
Proceedings of the ACM International Conference on Image and Video Retrieval
iLike: integrating visual and textual features for vertical search
Proceedings of the international conference on Multimedia
A novel image annotation feedback model based on internet-search
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Structural image retrieval using automatic image annotation and region based inverted file
Journal of Visual Communication and Image Representation
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In this paper, we propose a novel web image annotation method, namely FMD (Fused annotation by Mixed model graph and Decision tree), which combines visual features and textual information to conceptualize the web images. The FMD approach consists of three main processes: 1) construct the visual-based model, namely ModelMMG, 2) construct the textual-based model, namely ModelDT, and 3) fuse ModelMMG and ModelDT as ModelFMD for annotating the images. The purpose of visual-based annotation model is to objectify the image not only by the global content of the image but also by its local content of composing objects. The textual-based annotation model is to handle the problems of user-specified dependency of keywords and the complex computation due to high dimensionalities in text features. The experimental results reveal that the proposed FMD method is very effective for web image annotation in terms of accuracy through the integration of two different types of features.