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.
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.
P. J. Rousseeuw. Least Median of Squares Regression. Journal of the American Statistical Association. pp871, , 880. December, 1984. http://www.jstor.org/stable/2288718
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. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518. 2004.
A. J. Bell and T. J. Sejnowski. The ‘Independent Components’ of Natural Scenes are Edge Filters.. VISION RESEARCH. pp3327, , 3338. 1997.
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.
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. 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.
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
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
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.
M. Everingham, J. Sivic and A. Zisserman. Hello! My name is... Buffy - Automatic naming of characters in TV video. In BMVC. 2006.
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
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.
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.
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.
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.
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
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.
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
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.
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
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/
Y. H. B. A. B. M. O. Che-Hua Yeh. Personalized Photograph Ranking and Selection System. Proceedings of ACM Multimedia. pp211-220. October, 2010.
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.
C. Yeh, Y. Ho, B. A. Barsky and M. Ouhyoung. Personalized Photograph Ranking and Selection System. Proceedings of ACM Multimedia. pp211-220. October, 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
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.
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, 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
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.
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.
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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
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
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
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M. B. Stegmann, B. K. Ersbøll and R. Larsen. FAME – A Flexible Appearance Modelling Environment. IEEE Trans. on Medical Imaging. IEEE. pp1319-1331. 2003.
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
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
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.
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
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
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
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
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. 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
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
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
D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV. pp91-110. January, 2004.
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
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.
D. Lowe. Object recognition from local scale-invariant features. Proc. of the International Conference on Computer Vision ICCV. pp1150-1157. 1999.
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.
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
F. Perronnin and C. Dance. Fisher Kernels on Visual Vocabularies for Image Categorization. Computer Vision and Pattern Recognition, 2007. CVPR ’07. IEEE Conference on. pp1-8. 2007.
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.
M. Brown and D. Lowe. Invariant Features from Interest Point Groups. BMVC 2002: 13th British Machine Vision Conference. pp253, , 262. September, 2002.
W. Dong, Z. Wang and K. Li. High-Confidence Near-Duplicate Image Detection. ACM International Conference on Multimedia Retrieval. 2012.
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
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.
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
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