Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases
ACM Transactions on Database Systems (TODS)
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Document expansion for speech retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Efficient content-based indexing of large image databases
ACM Transactions on Information Systems (TOIS)
Evaluating combinations of ranked lists and visualizations of inter-document similarity
Information Processing and Management: an International Journal - Special issue on interactivity at the text retrieval conference (TREC)
Re-ranking model based on document clusters
Information Processing and Management: an International Journal
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
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Content-Based Indexing of Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
The importance of proper weighting methods
HLT '93 Proceedings of the workshop on Human Language Technology
Re-ranking method based on inter-document distances
Information Processing and Management: an International Journal
Document re-ranking using cluster validation and label propagation
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
IEEE Transactions on Software Engineering
Computer
Overview of the WikipediaMM task at ImageCLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Improving retrieval effectiveness by using key terms in top retrieved documents
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
| Hi-index | 12.05 |
In this paper, we introduce an expansion and reranking approach for annotation based image retrieval from Web pages. Our suggestion considers an image retrieval system using the surrounding texts nearby the image in a Web page as annotations. However, annotations may include too much and uninformative text such as copyright notice, date, author. In order to choose indexing terms effectively, we propose a term selection approach, which first expands the document using WordNet, and then selects descriptive terms among them. Notably, we applied this term selection methodology to both document and query. This is because applying either of documents or query does not help to increase retrieval performance. On the other hand, term selection process increases the number of terms per documents, and both documents and queries become more exhaustive than original. Consequently, this results high recall with low precision in retrieval. Thus, we also proposed a two-level reranking approach. In order to evaluate our approaches we have participated ImageCLEF2009 WikipediaMM subtask. The results we obtained are superior to any participating approaches and our approach has obtained the best four ranks, in text-only image retrieval. The results also showed that document expansion and effective term selection to annotations plays an important role in text-based image retrieval.