Journal of Intelligent Information Systems
Cross-Language Evaluation Forum: Objectives, Results, Achievements
Information Retrieval
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
ACM SIGMM retreat report on future directions in multimedia research
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A picture is worth a thousand keywords: image-based object search on a mobile platform
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Photo-to-search: using multimodal queries to search the web from mobile devices
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Automatic ranking of information retrieval systems using data fusion
Information Processing and Management: an International Journal
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
Latent semantic fusion model for image retrieval and annotation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Multiple feature fusion by subspace learning
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Applying statistical principles to data fusion in information retrieval
Expert Systems with Applications: An International Journal
Classifier fusion for SVM-based multimedia semantic indexing
ECIR'07 Proceedings of the 29th European conference on IR research
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Currently, image retrieval by content is a research problem of great interest in academia and the industry, due to the large collections of images available in different contexts. One of the main challenges to develop effective image retrieval systems is the automatic identification of semantic image contents. This research proposal aims to design a model for image retrieval able to take advantage of different data sources, i.e. using multimodal information, to improve the response of an image retrieval system. In particular two data modalities associated to contents and context of images are considered in this proposal: visual features and unstructured text annotations. The proposed framework is based on kernel methods that provide two main important advantages over the traditional multimodal approaches: first, the structure of each modality is preserved in a high dimensional feature space, and second, they provide natural ways to fuse feature spaces in a unique information space. This document presents the research agenda to build a Multimodal Information Space for searching images by content.