Image labeling on a network: Using social-network metadata for image classification

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

Volumn 7575 LNCS, Issue PART 4, 2012, Pages 828-841

  McAuley, Julian ^a   Leskovec, Jure ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Image Classification; Social Networks; Structured Learning

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION TASKS; COMMON PROPERTY; IMAGE CONTENT; IMAGE LABELING; MODEL PARAMETERS; PHOTO SHARING; SOCIAL COMMUNITIES; SOCIAL NETWORKS; STRUCTURED LEARNING;

COMPUTER VISION; IMAGE CLASSIFICATION; METADATA;

IMAGE RETRIEVAL;

EID: 84867887689     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33765-9_59     Document Type: Conference Paper

References (26)

1. Everingham, M., Van Gool, L.J., Williams, C., Winn, J., Zisserman, A.: The PASCAL visual object classes (VOC) challenge. IJCV (2010)
2. Huiskes, M., Lew, M.: The MIR Flickr retrieval evaluation. In: CIVR (2008)
3. Nowak, S., Huiskes, M.: New strategies for image annotation: Overview of the photo annotation task at ImageCLEF 2010. In: CLEF (Notebook Papers/ LABs/Workshops) (2010)
4. Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y.T.: NUS-WIDE: A realworld web image database from the National University of Singapore. In: CIVR (2009)
5. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: A large-scale hierarchical image database. In: CVPR (2009)
6. Guillaumin, M., Verbeek, J., Schmid, C.: Multimodal semi-supervised learning for image classification. In: CVPR (2010)
7. Lindstaedt, S., Pammer, V., Mörzinger, R., Kern, R., Mülner, H., Wagner, C.: Recommending tags for pictures based on text, visual content and user context. In: Internet and Web Applications and Services (2008)
8. Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: WWW (2008)
9. Sawant, N., Datta, R., Li, J., Wang, J.: Quest for relevant tags using local interaction networks and visual content. In: MIR (2010)
10. Stone, Z., Zickler, T., Darrell, T.: Autotagging Facebook: Social network context improves photo annotation. In: CVPR Workshop on Internet Vision (2008)
11. Luo, J., Boutell, M., Brown, C.: Pictures are not taken in a vacuum - an overview of exploiting context for semantic scene content understanding. IEEE Signal Processing Magazine (2006)
12. Li, Y., Crandall, D., Huttenlocher, D.: Landmark classification in large-scale image collections. In: ICCV (2009)
13. Kalogerakis, E., Vesselova, O., Hays, J., Efros, A., Hertzmann, A.: Image sequence geolocation with human travel priors. In: ICCV (2009)
14. Joshi, D., Luo, J., Yu, J., Lei, P., Gallagher, A.: Using geotags to derive rich tagclouds for image annotation. In: Social Media Modeling and Computing (2011)
15. Mensink, T., Verbeek, J., Csurka, G.: Trans media relevance feedback for image autoannotation. In: BMVC (2010)
16. Denoyer, L., Gallinari, P.: A ranking based model for automatic image annotation in a social network. In: ICWSM (2010)
17. Kolmogorov, V., Zabih, R.: What Energy Functions Can Be Minimized via Graph Cuts? In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part III. LNCS, vol. 2352, pp. 65-81. Springer, Heidelberg (2002)
18. Chapelle, O., Haffner, P., Vapnik, V.: Support vector machines for histogram-based image classification. IEEE Trans. on Neural Networks (1999)
19. Boros, E., Hammer, P.L.: Pseudo-boolean optimization. Discrete Applied Mathematics (2002)
20. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. on PAMI (2001)
21. Strandmark, P., Kahl, F.: Parallel and distributed graph cuts by dual decomposition. In: CVPR (2010)
22. Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y.: Large margin methods for structured and interdependent output variables. JMLR (2005)
23. Teo, C.H., Smola, A., Vishwanathan, S., Le, Q.: A scalable modular convex solver for regularized risk minimization. In: KDD (2007)
24. Petterson, J., Caetano, T.: Submodular multi-label learning. In: NIPS (2011)
25. van de Sande, K., Gevers, T., Snoek, C.: Evaluating color descriptors for object and scene recognition. IEEE Trans. on PAMI (2010)
26. Huiskes, M., Thomee, B., Lew, M.: New trends and ideas in visual concept detection: the MIR Flickr retrieval evaluation initiative. In: CIVR (2010)