Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Image retrieval by hypertext links
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Results and challenges in Web search evaluation
WWW '99 Proceedings of the eighth international conference on World Wide Web
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Efficient passage ranking for document databases
ACM Transactions on Information Systems (TOIS)
Link-based and content-based evidential information in a belief network model
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Efficient content-based indexing of large image databases
ACM Transactions on Information Systems (TOIS)
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Web mining for web image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Web image retrieval using self-organinzing feature map
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Using Relevance Feedback in Content-Based Image Metasearch
IEEE Internet Computing
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Content-Based Indexing of Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Techniques and Systems for Image and Video Retrieval
IEEE Transactions on Knowledge and Data Engineering
Local versus global link information in the Web
ACM Transactions on Information Systems (TOIS)
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
IEEE Transactions on Image Processing
Semantic knowledge extraction and annotation for web images
Proceedings of the 13th annual ACM international conference on Multimedia
Semantic Segment Extraction and Matching for Internet FAQ Retrieval
IEEE Transactions on Knowledge and Data Engineering
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Image annotation by hierarchical mapping of features
Proceedings of the 16th international conference on World Wide Web
Improving relevance judgment of web search results with image excerpts
Proceedings of the 17th international conference on World Wide Web
Semantic text similarity using corpus-based word similarity and string similarity
ACM Transactions on Knowledge Discovery from Data (TKDD)
Extended probabilistic HAL with close temporal association for psychiatric query document retrieval
ACM Transactions on Information Systems (TOIS)
Web image retrieval systems with automatic web image annotating techniques
WSEAS Transactions on Information Science and Applications
Psychiatric document retrieval using a discourse-aware model
Artificial Intelligence
Automatic web image annotation for image retrieval systems
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Exploiting image contents in web search
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Improve web image retrieval by refining image annotations
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Finding the best picture: cross-media retrieval of content
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Improving web image retrieval using image annotations and inference network
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Measuring performance of web image context extraction
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Mixture model based contextual image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
A short text modeling method combining semantic and statistical information
Information Sciences: an International Journal
EagleRank: a novel ranking model for web image search engine
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Content-Based re-ranking of text-based image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
An integrated semantic-based approach in concept based video retrieval
Multimedia Tools and Applications
Multimodal retrieval with relevance feedback based on genetic programming
Multimedia Tools and Applications
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Abstract--The World Wide Web is the largest publicly available image repository and a natural source of attention. An immediate consequence is that searching for images on the Web has become a current and important task. To search for images of interest, the most direct approach is keyword-based searching. However, since images on the Web are poorly labeled, direct application of standard keyword-based image searching techniques frequently yields poor results. In this work, we propose a comprehensive solution to this problem. In our approach, multiple sources of evidence related to the images are considered. To allow combining these distinct sources of evidence, we introduce an image retrieval model based on Bayesian belief networks. To evaluate our approach, we perform experiments on a reference collection composed of 54,000 Web images. Our results indicate that retrieval using an image surrounding text passages is as effective as standard retrieval based on HTML tags. This is an interesting result because current image search engines in the Web usually do not take text passages into consideration. Most important, according to our results, the combination of information derived from text passages with information derived from HTML tags leads to improved retrieval, with relative gains in average precision figures of roughly 50 percent, when compared to the results obtained by the use of each source of evidence in isolation.