Latent pyramidal regions for recognizing scenes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7576 LNCS, Issue PART 5, 2012, Pages 228-241

  Sadeghi, Fereshteh ^a   Tappen, Marshall F ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; CONSTRAINT CODING; DATA SETS; FEATURE VECTORS; IMAGE REPRESENTATIONS; NONLINEAR FEATURES; OUTDOOR SCENES; SCENE CATEGORIES; SCENE CLASSIFICATION; SCENE REPRESENTATION; TEXTURE PATTERNS; TRAINING PROCEDURES;

CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES;

COMPUTER VISION;

EID: 84867887811     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33715-4_17     Document Type: Conference Paper

References (23)

1. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60(2) (2004)
2. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886-893 (2005)
3. Lee, H., Battle, A., Raina, R., Ng, A.Y.: Efficient sparse coding algorithms. In: NIPS, pp. 801-808 (2007)
4. Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., Gong, Y.: Locality-constrained linear coding for image classification. In: CVPR, pp. 3360-3367 (2010)
5. Yang, J., Yu, K., Gong, Y., Huang, T.: Linear spatial pyramid matching using sparse coding for image classification. In: CVPR, pp. 1794-1801 (2009)
6. Gemert, J.C., Geusebroek, J.M., Veenman, C.J., Smeulders, A.W.: Kernel Code-books for Scene Categorization. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 696-709. Springer, Heidelberg (2008)
7. Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: CVPR, pp. 2169-2178 (2006)
8. Pandey, M., Lazebnik, S.: Scene recognition and weakly supervised object localization with deformable part-based models. In: ICCV (2011)
9. Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. PAMI 32(9), 1627-1645 (2010)
10. Yu, C.N.J., Joachims, T.: Learning structural svms with latent variables. In: ICML, pp. 1169-1176 (2009)
11. Blaschko, M.B., Lampert, C.H.: Learning to Localize Objects with Structured Output Regression. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 2-15. Springer, Heidelberg (2008)
12. Do, T.M.T., Artières, T.: Large margin training for hidden markov models with partially observed states. In: ICML, pp. 265-272 (2009)
13. Teo, C.H., Smola, A., Vishwanathan, S.V., Le, Q.V.: A scalable modular convex solver for regularized risk minimization. In: ACM SIGKDD, pp. 727-736 (2007)
14. Teo, C.H., Vishwanthan, S., Smola, A.J., Le, Q.V.: Bundle methods for regularized risk minimization. JMLR, 311-365 (2010)
15. Quattoni, A., Torralba, A.: Recognizing indoor scenes. In: CVPR, pp. 413-420 (2009)
16. Li, L.-J., HaoSu, E.P.X., Fei-Fei, L.: Object bank: A high-level image representation for scene classification & semantic feature sparsification. In: NIPS (2010)
17. Li, L.-J., Hao Su, Y.L., Fei-Fei, L.: Objects as attributes for scene classification. In: ECCV (2010)
18. Li, L.J., Fei-Fei, L.: What, where and who? classifying event by scene and object recognition. In: ICCV (2007)
19. Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: Sun database: Large-scale scene recognition from abbey to zoo. In: CVPR, pp. 3485-3492 (2010)
20. Han, Y., Liu, G.: Efficient learning of sample-specific discriminative features for scene classification. SPLetters 18(11), 683-686 (2011)
21. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV 42, 145-175 (2001)
22. Zhu, J., Li, L.J., Fei-Fei, L., Xing, E.P.: Large margin learning of upstream scene understanding models. In: NIPS (2010)
23. Wu, J., Rehg, J.: Centrist: A visual descriptor for scene categorization. IEEE Trans. PAMI 33(8), 1489-1501 (2011)