Compact and adaptive spatial pyramids for scene recognition

Image and Vision Computing

Volumn 30, Issue 8, 2012, Pages 492-500

  Elfiky, Noha M ^a   Gonzàlez, Jordi ^a   Roca, F Xavier ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

Agglomerative information theory; Dimensionality reduction; Scene recognition; Spatial pyramids; Texture

Indexed keywords

INFORMATION THEORY;

COMPACT REPRESENTATION; COMPRESSION STRATEGIES; DATA SETS; DIMENSIONALITY REDUCTION; IMAGE FEATURES; INFORMATION BOTTLENECK; MICRO-TEXTURE; SCENE RECOGNITION; SPATIAL LAYOUT; SPATIAL PYRAMIDS; SPATIAL REPRESENTATIONS; SPATIAL TEXTURE;

TEXTURES;

EID: 84865212947     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2012.04.002     Document Type: Article

References (43)

1. J. Alvarez, T. Gevers, and A. Lopez 3D Scene Priors for Road Detection CVPR 2010 57 64
2. A. Torralba Contextual priming for object detection Int. J. Comput. Vision 53 2 2003 169 191
3. N. Ikizler-Cinbis, and S. Sclaroff Object, Scene and Actions: Combining Multiple Features for Human Action Recognition ECCV (1) 2010 494 507
4. S. Oh, A. Hoogs, M.W. Turek, and R. Collins Content-based Retrieval of Functional Objects in Video using Scene Context ECCV (1) 2010 549 562
5. A. Vailaya, M. Figueiredo, A. Jain, and H. Zhang Image classification for content-based indexing IEEE Trans. Image Process. 10 1 2001 117 130 (Pubitemid 32136886)
6. M. Szummer, and R.W. Picard Indoor-outdoor image classification IEEE International Workshop on Content-Based Access of Image and Video Databases 1998 42 51
7. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid Local features and kernels for classification of texture and object categories: a comprehensive study IJCV 73 2 June 2007 213 238 (Pubitemid 46181625)
8. K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors PAMI 27 10 2005 1615 1630 (Pubitemid 41555406)
9. J. Vogel, and B. Schiele Semantic modeling of natural scenes for content-based image retrieval Int. J. Comput. Vis. 72 2 2007 133 157 (Pubitemid 46094757)
10. L. Fei-fei, and P. Perona A Bayesian Hierarchical Model for Learning Natural Scene Categories CVPR 2005
11. L.-J. Li, R. Socher, and L. Fei-Fei Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework CVPR 2009
12. M. Marszalek, I. Laptev, and C. Schmid Actions in Context CVPR 2009
13. Y.-L. Boureau, F. Bach, Y. LeCun, and J. Ponce Learning Mid-level Features for Recognition CVPR 2010
14. N. Xie, H. Ling, W. Hu, and X. Zhang Use Bin-ratio Information for Category and Scene Classification CVPR 2010
15. A. Perina, M. Cristani, U. Castellani, V. Murino, and N. Jojic A Hybrid Generative/Discriminative Classification Framework based on Free-energy Terms ICCV 2009
16. S. Lazebnik, C. Schmid, and J. Ponce Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories CVPR 2006
17. A. Bosch, A. Zisserman, and X. Munoz Scene classification using a hybrid generative/discriminative approach PAMI 30 4 2008 712 727 (Pubitemid 351559723)
18. A. Bosch, A. Zisserman, and X. Munoz Representing Shape with a Spatial Pyramid Kernel CIVR 2007
19. A. Quattoni, and A. Torralba Recognizing Indoor Scenes CVPR 2009
20. L. Wolf, T. Hassner, and Y. Taigman Descriptor Based Methods in the Wild Faces in Real-Life Images Workshop in ECCV October 2008
21. L. Yeffet, and L. Wolf Local Trinary Patterns for Human Action Recognition ICCV 2009
22. T. Ojala, M. Pietikinen, and T. Menp Multiresolution gray-scale and rotation invariant texture classification with local binary patterns PAMI 24 7 2002 971 987 (Pubitemid 34835471)
23. T. Ahonen, A. Hadid, and M. Pietikinen Face description with local binary patterns: application to face recognition PAMI 28 2006 2037 2041 (Pubitemid 46405714)
24. M. Heikkil, M. Pietikinen, and C. Schmid Description of interest regions with local binary patterns Pattern Recogn. 42 3 2009 425 436
25. M. Heikkil, and M. Pietikinen A texture-based method for modeling the background and detecting moving objects IEEE Trans. Pattern Anal. Mach. Intell. 28 4 2006 657 662
26. P.V. Gehler, and S. Nowozin On feature combination for multiclass object classification ICCV 2009
27. T. Menp, and M. Pietikainen Classification with color and texture: jointly or separately? Pattern Recogn. 37 8 2004 1629 1640 (Pubitemid 38728577)
28. K.E.A. van de Sande, T. Gevers, and C.G.M. Snoek Evaluating color descriptors for object and scene recognition PAMI 32 9 2010 1582 1596
29. J. van de Weijer, and T. Gevers Robust Optical Flow from Photometric Invariants ICIP 2004 1835 1838 (Pubitemid 40820590)
30. J. Winn, A. Criminisi, and T. Minka Object Categorization by Learned Universal Visual Dictionary ICCV 2005
31. B. Fulkerson, A. Vedaldi, and S. Soatto Localizing Objects with Smart Dictionaries ECCV 2008
32. S. Lazebnik, and M. Raginsky Supervised learning of quantizer codebooks by information loss minimization PAMI 31 7 2009 1294 1309
33. N. Slonim, and N. Tishby Agglomerative information bottleneck NIPS 1999
34. M. Marszalek, C. Schmid, H. Harzallah, and J. van de Weijer Learning Object Representation for Visual Object Class Recognition 2007 Visual recognition Challenge Workshop in conjuncture with ICCV 2007
35. A. Oliva, and A. Torralba Modeling the shape of the scene: a holistic representation of the spatial envelope IJCV 42 2001 145 175 (Pubitemid 32680801)
36. A. Bosch, A. Zisserman, and X. Munoz Scene Classification via PLSA ECCV 2006
37. W.R. Schwartz, A. Kembhavi, D. Harwood, and L.S. Davis Human detection using partial least squares analysis ICCV 2009
38. S. Ito, and S. Kubota Object classification using heterogeneous co-occurrence features ECCV 2010
39. H. Nakayama, T. Harada, and Y. Kuniyoshi Global Gaussian Approach for Scene Categorization Using Information Geometry CVPR 2010
40. C. Lampert, M. Blaschko, and T. Hofmann Beyond Sliding Windows: Object Localization by Efficient Subwindow Search CVPR 2008
41. H. Harzallah, F. Jurie, and C. Schmid Combining Efficient Object Localization and Image Classification ICCV 2009
42. N. Shroff, P. Turaga, and R. Chellappa Moving Vistas: Exploiting Motion for Describing Scenes CVPR 2010 1911 1918
43. K. Kim, M. Grundmann, A. Shamir, I. Matthews, J. Hodgins, and I. Essa Motion Fields to Predict Play Evolution in Dynamic Sport Scenes CVPR 2010 840 847