Annotation propagation in large image databases via dense image correspondence

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

Volumn 7574 LNCS, Issue PART 3, 2012, Pages 85-99

  Rubinstein, Michael ^a,b   Liu, Ce ^b   Freeman, William T ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATION PROPAGATION; BELIEF PROPAGATION ALGORITHM; EXPECTATION MAXIMIZATION; GRAPHICAL MODEL; IMAGE CORRESPONDENCE; IMAGE DATASETS; LABELED DATA; LARGE IMAGE DATABASE; MULTIPLE IMAGE; SIMILAR IMAGE; STATE-OF-THE-ART METHODS; TRAINING IMAGE; VISUAL EVIDENCE; VISUAL PATTERN;

ALGORITHMS; DATA PROCESSING; PIXELS;

COMPUTER VISION;

EID: 84867843874     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33712-3_7     Document Type: Conference Paper

References (20)

1. Makadia, A., Pavlovic, V., Kumar, S.: Baselines for image annotation. IJCV 90 (2010)
2. Wang, X., Zhang, L., Liu, M., Li, Y., Ma, W.: Arista-image search to annotation on billions of web photos. In: CVPR, pp. 2987-2994 (2010)
3. Shotton, J., Winn, J., Rother, C., Criminisi, A.: TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 1-15. Springer, Heidelberg (2006)
4. Shotton, J., Johnson, M., Cipolla, R.: Semantic texton forests for image categorization and segmentation. In: CVPR (2008)
5. Liu, C., Yuen, J., Torralba, A.: Nonparametric scene parsing via label transfer. TPAMI (2011)
6. Tighe, J., Lazebnik, S.: SuperParsing: Scalable Nonparametric Image Parsing with Superpixels. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 352-365. Springer, Heidelberg (2010)
7. Blei, D.M., Ng, A., Jordan, M.: Latent dirichlet allocation. Machine Learning Research 3, 993-1022 (2003)
8. Feng, S., Manmatha, R., Lavrenko, V.: Multiple bernoulli relevance models for image and video annotation. In: CVPR (2004)
9. Liu, C., Yuen, J., Torralba, A., Sivic, J., Freeman, W.T.: SIFT Flow: Dense Correspondence across Different Scenes. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 28-42. Springer, Heidelberg (2008)
10. Russell, B., Torralba, A.,Murphy, K., Freeman,W.: Labelme: a database and web-based tool for image annotation. IJCV 77, 157-173 (2008)
11. Von Ahn, L., Dabbish, L.: Labeling images with a computer game. In: SIGCHI (2004)
12. Grubinger, M., Clough, P., Müller, H., Deselaers, T.: The iapr benchmark: A new evaluation resource for visual information systems. In: LREC, pp. 13-23 (2006)
13. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
14. Xiao, J., Hays, J., Ehinger, K.,Oliva, A., Torralba, A.: Sun database: Large-scale scene recognition from abbey to zoo. In: CVPR, 3485-3492 (2010)
15. Delong, A., Gorelick, L., Schmidt, F.R., Veksler, O., Boykov, Y.: Interactive Segmentation with Super-Labels. In: Boykov, Y., Kahl, F., Lempitsky, V., Schmidt, F.R. (eds.) EMMCVPR 2011. LNCS, vol. 6819, pp. 147-162. Springer, Heidelberg (2011)
16. Geurts, P., Ernst, D.,Wehenkel, L.: Extremely randomized trees.Machine Learning 63, 3-42 (2006)
17. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV 42, 145-175 (2001)
18. Rother, C., Kolmogorov, V., Blake, A.: Grabcut: Interactive foreground extraction using iterated graph cuts. TOG 23, 309-314 (2004)
19. Jing, Y., Baluja, S.: Visualrank: Applying pagerank to large-scale image search. TPAMI (2008)
20. Vijayanarasimhan, S., Grauman, K.: Cost-sensitive active visual category learning. IJCV, 1-21 (2011)