Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The nature of statistical learning theory
The nature of statistical learning theory
Analyses of multiple evidence combination
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Improving automatic query expansion
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A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
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Photograph retrieval and classification by visual keywords and thesaurus
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Normalized Cuts and Image Segmentation
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Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A vector space model for automatic indexing
Communications of the ACM
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Modern Information Retrieval
Human-Computer Interaction
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Background Removal in Image Indexing and Retrieval
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Automatic Identification of Perceptually Important Regions in an Image
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
RF*IPF: A Weighting Scheme for Multimedia Information Retrieval
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Classification of user image descriptions
International Journal of Human-Computer Studies
A model for weighting image objects in home photographs
Proceedings of the 14th ACM international conference on Information and knowledge management
Effective and efficient object-based image retrieval using visual phrases
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Image retrieval on large-scale image databases
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Comparison of multiepisode video summarization algorithms
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Classifier fusion for SVM-based multimedia semantic indexing
ECIR'07 Proceedings of the 29th European conference on IR research
Using visual-textual mutual information and entropy for inter-modal document indexing
ECIR'07 Proceedings of the 29th European conference on IR research
Recognizing objects and scenes in news videos
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Natural scene image modeling using color and texture visterms
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
A relational vector space model using an advanced weighting scheme for image retrieval
Information Processing and Management: an International Journal
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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The increase of digital image and video acquisition devices, combined with the growth of the World Wide Web, requires the definition of user-relevant similarity matching methods providing meaningful access to documents searched by users among large amounts of data. The aim of our work is to define media objects for document description suited to images and videos, integrating a user-centered definition of importance for similarity matching. The importance is defined according to criteria and hypotheses, which have been experimentally validated. This leads to a definition of a weighting scheme for media objects (based on objects size, position, and scene homogeneity), which has also been validated with users in a second experiment. This model allows for meaningful similarity matching between document pairs and between users' queries and documents.