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https://github.com/emanuetre/crossmodal

Python code for the cross-modal retrieval system proposed at ACM MM '10 in "A New Approach to Cross-Modal Multimedia Retrieval"
https://github.com/emanuetre/crossmodal

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Python code for the cross-modal retrieval system proposed at ACM MM '10 in "A New Approach to Cross-Modal Multimedia Retrieval"

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# crossmodal
Python code for the cross-modal retrieval system proposed by N. Rasiwasia, J.C. Pereira, E. Coviello, G. Doyle, G.R.G. Lanckriet, R. Levy, N. Vasconcelos in the ACM MultiMedia '10 paper
["A New Approach to Cross-Modal Multimedia Retrieval"](http://acsweb.ucsd.edu/~ecoviell/pubs/ANewApproachtoCross-ModalMultimediaRetrieval.pdf).

Dependencies
------------

numpy
sklean 0.16
scipy.io (to read .mat files)

Todo
----

* remove dependency on .mat format
* refactor code to run multiple experiments (CM, SM, SCM)

Citing
------

When using the code or the dataset, please cite:

@inproceedings{rasiwasia2010new,

title={A new approach to cross-modal multimedia retrieval},

author={Rasiwasia, Nikhil and Costa Pereira, Jose and Coviello, Emanuele and Doyle, Gabriel and Lanckriet, Gert RG and Levy, Roger and Vasconcelos, Nuno},

booktitle={Proceedings of the international conference on Multimedia},

pages={251--260},

year={2010},

organization={ACM}

}

@article{costa2014role,

title={On the role of correlation and abstraction in cross-modal multimedia retrieval},

author={Costa Pereira, Jose and Coviello, Emanuele and Doyle, Gabriel and Rasiwasia, Nikhil and Lanckriet, Gert RG and Levy, Roger and Vasconcelos, Nuno},

journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},

volume={36},

number={3},

pages={521--535},

year={2014},

publisher={IEEE}

}