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ATTENTION based on INFORMATION MAXIMIZATION
Neil D. B. Bruce
Centre of Vision Research and
Department of Computer Science and Engineering
York University
Current contact: [email protected]
Last update, April 2009
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Bruce, N.D.B., Tsotsos, J.K., Saliency, Attention, and Visual Search: An Information Theoretic Approach, Journal of Vision 9:3, pp.1-24, 2009, http://journalofvision.org/9/3/5/, doi:10.1167/9.3.5.
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Bruce, N.D.B., Tsotsos, J.K., Saliency based on Information Maximization. Advances in Neural Information Processing Systems, 18.
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Bruce, N. Features that draw visual attention: An information theoretic perspective. Neurocomputing, v. 65-66, pp. 125-133, May 2005.
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Bruce, N.D.B., Tsotsos, J.K., Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency, 5th Int. Workshop on Attention in Cognitive Systems, Santorini Greece, May 12, 2008.
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Bruce, N.D.B., Tsotsos, J.K., An Information Theoretic Model of Saliency and Visual Search, L. Paletta and E. Rome (Eds.): WAPCV 2007, LNAI 4840, pp. 171–183, 2007.
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Bruce, N.D.B., Image analysis through local information measures. In Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, 2004.
% The only required argument is the image name
out = AIM(imagename);
% With optional arguments:
% resizesize - A scaling factor (% original image size)
% convolve - convolve the output with a gaussian?
% basisname - the feature set e.g. 21jade950, 31infomax975
% The latter 3 digits correspond to the variance retained
% in PCA which precedes the ICA method named.
% output - show some visualization. This may require
% changing some parameters appearing in the code
% depending on the desired "look".
% out = AIM(imagename,resizesize,convolve,basisname,output);
out2 = AIM('23.jpg',0.5,1,'21jade950.mat',1);Additional options are specified in AIM.m including the ability to modify parameters of the computation not available via the function call.
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DERIVATIVE WORKS ARE ALLOWED BY INDIVIDUALS FOR NON-PROFIT RESEARCH PURPOSES. SUCH DERIVATIVE WORKS MAY NOT BE DISTRIBUTED WITHOUT WRITTEN CONSENT OF THE AUTHOR. ANY WORKS THAT USE THE ABOVE SOFTWARE IN WHOLE OR PART FOR A COMMERCIAL APPLICATION MUST OBTAIN A VALID LICENSE FROM THE AUTHOR.
THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.