Evaluating and optimizing autonomous text classification systems
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Image annotation by large-scale content-based image retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Where to stop reading a ranked list?: threshold optimization using truncated score distributions
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Score Distributions in Information Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Lightweight web image reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Automatic discovery of image families: global vs. local features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Late fusion of compact composite descriptors for retrieval from heterogeneous image databases
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
www.MMRetrieval.net: a multimodal search engine
Proceedings of the Third International Conference on SImilarity Search and APplications
Overview of the wikipediaMM task at ImageCLEF 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Multimodal image retrieval over a large database
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
Inter-media pseudo-relevance feedback application to ImageCLEF 2006 photo retrieval
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Fusion vs. two-stage for multimodal retrieval
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Content based image retrieval using visual-words distribution entropy
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Video summarization using a self-growing and self-organized neural gas network
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
AIEMPro '11 Proceedings of the 2011 ACM international workshop on Automated media analysis and production for novel TV services
Multimodal re-ranking of product image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Content-Based re-ranking of text-based image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, which is inefficient for large databases. We experiment with a method for image retrieval from multimodal databases, which improves both the effectiveness and efficiency of traditional CBIR by exploring secondary modalities. We perform retrieval in a two-stage fashion: first rank by a secondary modality, and then perform CBIR only on the top-K items. Thus, effectiveness is improved by performing CBIR on a 'better' subset. Using a relatively 'cheap' first stage, efficiency is also improved via the fewer CBIR operations performed. Our main novelty is that K is dynamic, i.e. estimated per query to optimize a predefined effectiveness measure. We show that such dynamic two-stage setups can be significantly more effective and robust than similar setups with static thresholds previously proposed