Nowadays the availability of digital cameras allows for the production of thousands and thousands images, either for personal or commercial use. Moreover, national and regional governments are funding projects aimed at preserving the cultural heritage by producing digital versions of documents, pictures, etc. The vast majority of this pictures are stored without any descriptive data associated. However, even if descriptive data si produced with images, still it cannot capture the complex semantic content of images.
To this end, there is a growing need for tools aimed at organising and retrieving images by their semantic content. We address the problem of content-retrieval by a query-by-example approach. In particular, the user is allowed to judge the search results to let the system update the search criteria.
We produced a demo version which is based on some MPEG-7 features and on an original relevance feedback mechanism based on the nearest-neighbor technique.
A video showing the functionalities of our system can be seen here.
People working on this topic:
- Giorgio Giacinto
- Luca Piras
- Roberto Tronci
Publications on Content-based image retrieval
Book Chapter
Journal Article
Conference Paper
Luca Piras, Giorgio Giacinto ,
"K-Nearest Neighbors Directed Synthetic Images Injection",
11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2010), Desenzano del Garda, Italy, 12/04/2010.
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L. Piras, G. Giacinto ,
"Neighborhood-Based Feature Weighting for Relevance Feedback in Content-Based Retrieval",
10th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2009), London, United Kingdom, pp. 238-241, 06/05/2009.
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G. Giacinto ,
"A Nearest-Neighbor Approach to Relevance Feedback in Content Based Image Retrieval",
6th ACM international conference on Image and video retrieval (CIVR'07), Amsterdam, ACM, pp. 456-463, 2007 .
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Giorgio Giacinto, Fabio Roli ,
"Instance-Based Relevance Feedback for Image Retrieval",
Advances in Neural Information Processing Systems (NIPS) 17: MIT Press, pp. 489-496, 2005 .
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G. Giacinto, F. Roli ,
"Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval",
Machine Learning and Data Mining in Pattern Recognition (MLDM 2003), vol. 2734, Leipzig, Germany, Springer-Verlag, pp. 202-214, 2003 .
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G. Giacinto, F. Roli ,
"Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval",
oint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (S+SSPR 2002), vol. 2396, pp. 607-616, 2002 .
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Giorgio Giacinto, Fabio Roli, Giorgio Fumera ,
"Adaptive Query Shifting for Content-Based Image Retrieval",
Int. Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM’01), vol. 2123: Springer, pp. 337-346, 2001 .
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