If you use OpenIMAJ in an academic publication, please cite the following paper:

Jonathon S. Hare, Sina Samangooei, and David P. Dupplaw. 2011. OpenIMAJ and ImageTerrier: Java libraries and tools for scalable multimedia analysis and indexing of images. In Proceedings of the 19th ACM international conference on Multimedia (MM ’11). ACM, New York, NY, USA, 691-694. DOI=10.1145/2072298.2072421 http://doi.acm.org/10.1145/2072298.2072421

The following is a list of the papers from which OpenIMAJ implements various algorithms and techniques. This list is also available in BibTeX here.

S. E. and M. Slaney. Construction And Evaluation Of A Robust Multifeature Speech/music Discriminator. Proc. ICASSP-97, Munich.. 1997.

T. F. Cootes and C. J. Taylor. Statistical Models of Appearance for Computer Vision. October, 2001. http://isbe.man.ac.uk/~bim/Models/app_model.ps.gz

R. A. Fisher. The use of multiple measurements in taxonomic problems. Annals Eugen.. pp179, , 188. 1936.

A. Hyvrinen, J. Hurri and P. O. Hoyer. Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.. Springer Publishing Company, Incorporated. 2009.

B. K. P. Horn, H. Hilden and S. Negahdaripour. Closed-Form Solution of Absolute Orientation using Orthonormal Matrices. JOURNAL OF THE OPTICAL SOCIETY AMERICA. pp1127-1135. 1988.

H. Sp"ath. Fitting affine and orthogonal transformations between two sets of points.. Mathematical Communications. Croatian Mathematical Society, Division Osijek, Osijek; Faculty of Electrical Engineering, University of Osijek, Osijek. pp27-34. 2004.

A. J. Bell and T. J. Sejnowski. The ‘Independent Components’ of Natural Scenes are Edge Filters.. VISION RESEARCH. pp3327, , 3338. 1997.

Z. Zhang, R. Deriche, O. Faugeras and Q. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry . Artificial Intelligence . pp87 - 119. 1995. http://www.sciencedirect.com/science/article/pii/0004370295000224

C. Steger. On the Calculation of Moments of Polygons. August, 1996. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.29.8765&rep=rep1&type=pdf

C. J. Taylor, D. H. Cooper and J. Graham. Training models of shape from sets of examples. Proc. BMVC92, Springer-Verlag. pp9, , 18. 1992.

R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518. 2004.

P. J. Rousseeuw. Least Median of Squares Regression. Journal of the American Statistical Association. pp871, , 880. December, 1984. http://www.jstor.org/stable/2288718

J. Hare, S. Samangooei and D. Dupplaw. OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images. ACM Multimedia 2011. ACM. pp691-694. November, 2011. http://eprints.soton.ac.uk/273040/

A. A. Efros and T. K. Leung. Texture Synthesis by Non-Parametric Sampling. Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2. IEEE Computer Society. p1033. 1999. http://dl.acm.org/citation.cfm?id=850924.851569

W. Dong, Z. Wang and K. Li. High-Confidence Near-Duplicate Image Detection. ACM International Conference on Multimedia Retrieval. 2012.

Z. Zhang. A flexible new technique for camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on. pp1330-1334. Nov, 2000.

F. Samaria and A. Harter. Parameterisation of a stochastic model for human face identification. Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on. pp138 -142. dec, 1994.

M. Turk and A. Pentland. Face recognition using eigenfaces. Computer Vision and Pattern Recognition, 1991. Proceedings CVPR ’91., IEEE Computer Society Conference on. pp586 -591. jun, 1991.

M. Everingham, J. Sivic and A. Zisserman. Hello! My name is... Buffy - Automatic naming of characters in TV video. In BMVC. 2006.

J. M. Saragih, S. Lucey and J. F. Cohn. Face alignment through subspace constrained mean-shifts. IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009. IEEE. pp1034-1041. 2009.

P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman. Fisherfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. Pattern Anal. Mach. Intell.. IEEE Computer Society. pp711, , 720. July, 1997. http://dx.doi.org/10.1109/34.598228

P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. pp I, 511 , I, 518 vol.1. 2001.

X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. Trans. Img. Proc.. IEEE Press. pp1635-1650. June, 2010. http://dx.doi.org/10.1109/TIP.2010.2042645

D. Ozkan and P. Duygulu. Finding people frequently appearing in news. Proceedings of the 5th international conference on Image and Video Retrieval. Springer-Verlag. pp173, , 182. 2006. http://dx.doi.org/10.1007/11788034_18

X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. Image Processing, IEEE Transactions on. pp1635 -1650. june , 2010.

K. Sandeep and A. N. Rajagopalan. Human Face Detection in Cluttered Color Images Using Skin Color and Edge Information. Electrical Engineering. Citeseer. 2002. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.12.730&rep=rep1&type=pdf

B. Loni, M. Menendez, M. Georgescu, L. Galli, C. Massari, I. S. Altingovde, D. Martinenghi, M. Melenhorst, R. Vliegendhart and M. Larson. Fashion-focused creative commons social dataset. Proceedings of the 4th ACM Multimedia Systems Conference. ACM. pp72, , 77. 2013. http://doi.acm.org/10.1145/2483977.2483984

A. Krizhevsky and G. Hinton. Learning multiple layers of features from tiny images. Master’s thesis, Department of Computer Science, University of Toronto. Citeseer. 2009.

D. Hasler and S. Süsstrunk. Measuring Colourfulness in Natural Images. Proc. {IS}&{T}/{SPIE} {E}lectronic {I}maging 2003: {H}uman {V}ision and {E}lectronic {I}maging {VIII}. pp87, , 95. 2003. http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf?version=1

X. Liu and J. Samarabandu. An edge-based text region extraction algorithm for indoor mobile robot navigation. Mechatronics and Automation, 2005 IEEE International Conference. pp 701 - 706 Vol. 2. July-1 Aug., 2005.

Y. Luo and X. Tang. Photo and Video Quality Evaluation: Focusing on the Subject. Proceedings of the 10th European Conference on Computer Vision: Part III. Springer-Verlag. pp386-399. 2008. http://dx.doi.org/10.1007/978-3-540-88690-7_29

K. Huang, Q. Wang and Z. Wu. Natural color image enhancement and evaluation algorithm based on human visual system. Comput. Vis. Image Underst.. Elsevier Science Inc.. pp52, , 63. jul, 2006. http://dx.doi.org/10.1016/j.cviu.2006.02.007

T. Ojala, M. Pietikainen and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on. pp971 -987. jul, 2002.

A. Oliva and A. Torralba. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. Int. J. Comput. Vision. Kluwer Academic Publishers. pp145, , 175. May, 2001. http://dx.doi.org/10.1023/A:1011139631724

T. F. Cootes and C. J. Taylor. Active Shape Models. in Proceedings of the British Machine Vision Conference. 1992.

B. Epshtein, E. Ofek and Y. Wexler. Detecting text in natural scenes with stroke width transform. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. pp2963-2970. 2010.

N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) - Volume 1 - Volume 01. IEEE Computer Society. pp886, , 893. 2005. http://dx.doi.org/10.1109/CVPR.2005.177

Y. Luo and X. Tang. Photo and Video Quality Evaluation: Focusing on the Subject. Proceedings of the 10th European Conference on Computer Vision: Part III. Springer-Verlag. pp386, , 399. 2008. http://dx.doi.org/10.1007/978-3-540-88690-7_29

Y. Ke, X. Tang and F. Jing. The Design of High-Level Features for Photo Quality Assessment. Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1. IEEE Computer Society. pp419, , 426. 2006. http://dx.doi.org/10.1109/CVPR.2006.303

P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. Pattern Anal. Mach. Intell.. IEEE Computer Society. pp711, , 720. July, 1997. http://dx.doi.org/10.1109/34.598228

J. S. Pedro and S. Siersdorfer. Ranking and Classifying Attractiveness of Photos in Folksonomies. 18th International World Wide Web Conference. pp771, , 771. April, 2009. http://www2009.eprints.org/78/

T. Ojala, M. Pietik"ainen and T. M"aenp"a"a. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell.. IEEE Computer Society. pp971, , 987. July, 2002. http://dx.doi.org/10.1109/TPAMI.2002.1017623

C. Yeh, Y. Ho, B. A. Barsky and M. Ouhyoung. Personalized Photograph Ranking and Selection System. Proceedings of ACM Multimedia. pp211-220. October, 2010.

X. Liu and J. Samarabandu. Multiscale Edge-Based Text Extraction from Complex Images. Multimedia and Expo, 2006 IEEE International Conference on. pp1721 -1724. july, 2006.

M. Turk and A. Pentland. Face recognition using eigenfaces. Computer Vision and Pattern Recognition, 1991. Proceedings CVPR ’91., IEEE Computer Society Conference on. pp586 -591. jun, 1991.

Y. H. B. A. B. M. O. Che-Hua Yeh. Personalized Photograph Ranking and Selection System. Proceedings of ACM Multimedia. pp211-220. October, 2010.

X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. Trans. Img. Proc.. IEEE Press. pp1635, , 1650. June, 2010. http://dx.doi.org/10.1109/TIP.2010.2042645

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T. F. Cootes, C. J. Taylor and A. Lanitis. Active shape models: Evaluation of a multi-resolution method for improving image search. Proc British Machine Vision Conference. BMVA Press. pp327, , 336. 1994. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.141.4937&rep=rep1&type=pdf

T. Ojala, M. Pietikainen and D. Harwood. A Comparative Study of Texture Measures with Classification Based on Feature Distributions. Pattern Recognition. pp51-59. January, 1996.

T. F. Cootes and C. J. Taylor. Statistical Models of Appearance for Computer Vision. October, 2001. http://isbe.man.ac.uk/~bim/Models/app_model.ps.gz

M. B. Stegmann, B. K. Ersbøll and R. Larsen. FAME – A Flexible Appearance Modelling Environment. IEEE Trans. on Medical Imaging. IEEE. pp1319-1331. 2003.

A. Bosch, A. Zisserman and X. Munoz. Representing shape with a spatial pyramid kernel. Proceedings of the 6th ACM international conference on Image and video retrieval. ACM. pp401, , 408. 2007. http://doi.acm.org/10.1145/1282280.1282340

P. F. Felzenszwalb and D. P. Huttenlocher. Efficient Graph-Based Image Segmentation. Int. J. Comput. Vision. Kluwer Academic Publishers. pp167-181. September, 2004. http://dx.doi.org/10.1023/B:VISI.0000022288.19776.77

R. Achanta, S. Hemami, F. Estrada and S. S"usstrunk. Frequency-tuned Salient Region Detection. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). 2009. http://infoscience.epfl.ch/record/135217/files/1708.pdf

M. Brown and D. Lowe. Invariant Features from Interest Point Groups. BMVC 2002: 13th British Machine Vision Conference. pp253, , 262. September, 2002.

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J. Morel and G. Yu. ASIFT: A New Framework for Fully Affine Invariant Image Comparison. SIAM J. Img. Sci.. Society for Industrial and Applied Mathematics. 2009.

F. Perronnin, J. S’anchez and T. Mensink. Improving the Fisher Kernel for Large-scale Image Classification. Proceedings of the 11th European Conference on Computer Vision: Part IV. Springer-Verlag. pp143, , 156. 2010. http://dl.acm.org/citation.cfm?id=1888089.1888101

J. Matas, O. Chum, M. Urban and T. Pajdla. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing. pp761 - 767. 2004. http://www.sciencedirect.com/science/article/pii/S0262885604000435

K. E. A. van de Sande, T. Gevers and C. G. M. Snoek. Evaluating Color Descriptors for Object and Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. pp1582, , 1596. 2010. http://www.science.uva.nl/research/publications/2010/vandeSandeTPAMI2010

D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV. pp91-110. January, 2004.

Y. Cui, N. Hasler, T. Thorm"ahlen and H. Seidel. Scale Invariant Feature Transform with Irregular Orientation Histogram Binning. Proceedings of the 6th International Conference on Image Analysis and Recognition. Springer-Verlag. pp258, , 267. 2009.

G. J. Burghouts and J. Geusebroek. Performance evaluation of local colour invariants. Comput. Vis. Image Underst.. Elsevier Science Inc.. pp48, , 62. jan, 2009. http://dx.doi.org/10.1016/j.cviu.2008.07.003

W. Dong, Z. Wang and K. Li. High-Confidence Near-Duplicate Image Detection. ACM International Conference on Multimedia Retrieval. 2012.

H. Jegou, M. Douze, C. Schmid and P. Perez. Aggregating local descriptors into a compact image representation. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. pp3304 -3311. june, 2010.

J. Hare, S. Samangooei and P. Lewis. Efficient clustering and quantisation of SIFT features: Exploiting characteristics of the SIFT descriptor and interest region detectors under image inversion. The ACM International Conference on Multimedia Retrieval (ICMR 2011). ACM Press. April, 2011.

A. Telea. An Image Inpainting Technique Based on the Fast Marching Method.. J. Graphics, GPU, & Game Tools. pp23-34. 2004. http://dblp.uni-trier.de/db/journals/jgtools/jgtools9.html#Telea04

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