Abstract
Flickr groups are self-organized communities to share photos and conversations with common interest and have gained massive popularity. Users in Flickr have to manually assign each image to the appropriated group. Manual assignment requires users to be familiar with existing images in each group and it is intractable and tedious. Therefore it prohibits users from exploiting the relevant groups. For solution to the problem, group suggestion has attracted increasing attention recently, which aims to suggest groups to user for a specific image. Existing works pose group suggestion as the automatic group prediction problem with a purpose of predicting the groups of each image automatically. Despite of dramatic progress in automatic group prediction, the prediction results are still not accurate enough. In this paper, we propose a semi-automatic group suggestion approach with Human-in-the-Loop. Given a user’s image collection, we employ the pre-built group classifiers to predict the group of each image. These predictions are used as the initial group suggestions. We then select a small number of representative images from user’s collection and ask user to assign the groups of them. Once obtaining user’s feedbacks on the representative images, we infer the groups of remaining images through group propagation over multiple sparse graphs among the images. We conduct experiment on 15 Flickr groups with 127,500 images. The experimental results demonstrate the proposed framework is able to provide accurate group suggestions with quite a small amount of user effort.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Yu, J., Jin, X., Han, J., Luo, J.: Mining Personal Image Collection for Social Group Suggestion. In: IEEE International Conference on Data Mining Workshops, Washington, DC, USA, pp. 202–207 (2009)
Yu, J., Joshi, D., Luo, J.: Connecting people in photo-sharing sites by photo content and user annotations. In: Proceeding of International Conference on Multimedia and Expo, New York, USA, pp. 1464–1467 (2009)
Yu, J., Jin, X., Han, J., Luo, J.: Social Group Suggestion from User Image Collections. In: Proceedings of the 19th International Conference on World Wide Web, Raleigh, North Carolina, USA, pp. 1215–1216 (2010)
Duan, M., UIges, A., Breuel, T.M., Wu, X.: Style Modeling for Tagging Personal Photo Collections. In: Proceeding of the International Conference on Image and Video Retrieval, Santorini, Fira, Greece, pp. 1–8 (2009)
Douze, M., Jegou, H., Sandhawalia, H., Amsaleg, L., Schmid, C.: Evaluation of GIST descriptors for web-scale image search. In: Proceeding of the International Conference on Image and Video Retrieval, Santorini, Fira, Greece, pp. 1–8 (2009)
Negoescu, R.A., Gatica-Perez, D.: Analyzing Flickr Groups. In: Proceeding of the International Conference on Image and Video Retrieval, Niagara Falls, Canada, pp. 417–426 (2008)
Wang, M., Hua, X.-S., Yuan, X., Song, Y., Dai, L.-R.: Optimizing Multi-Graph Learning: Towards A Unified Video Annotation Scheme. In: Proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, pp. 862–871 (2007)
Chen, H.-M., Chang, M.-H., Chang, P.-C., Tien, M.-C., Hsu, W., Wu, J.-L.: SheepDog-Group and Tag Recommendation for Flickr Photos by Automatic Search-based Learning. In: Proceeding of the 16th ACM International Conference on Multimedia, Canada, pp. 737–740 (2008)
Rakotomamonjy, A., Bach, F., Canu, S., Grandvalet, Y.: SimpleMKL. Journal of Machine Learning Research 9, 2491–2521 (2008)
Chatzichristofis, S., Boutalis, Y.: CEDD: Color and Edge Directivity Descriptor. A Compact Descriptor for Image Indexing and Retrieval. In: Computer Vision System, pp. 312–322 (2008)
Frey, B., Dueck, D.: Clustering by Passing messages Between Data Points. Science, 319–726 (2007)
Lewis, D.D., Gale, W.A.: A Sequential Algorithm for Training Text Classifiers. In: Proceeding of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, pp. 3–12 (1994)
Wright, J., Yang, A., Ganesh, A., Sastry, S., Ma, Y.: Robust Face Recognition via Sparse Representation. IEEE Transaction on Pattern Analysis and Machine Intelligence 31(2), 210–227 (2009)
Zha, Z.-J., Yang, L., Mei, T., Wang, M., Wang, Z.: Visual Query Suggestion. In: Proceeding of the 17th ACM International Conference on Multimedia, Beijing, China, pp. 15–24 (2009)
Liu, D., Wang, M., Hua, X.-S., Zhang, H.-J.: Smart batch Tagging of Photo Albums. In: Proceeding of the 17th ACM International Conference on Multimedia, Beijing, China, pp. 809–812 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cai, J., Zha, ZJ., Tian, Q., Wang, Z. (2011). Semi-automatic Flickr Group Suggestion. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-17829-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17828-3
Online ISBN: 978-3-642-17829-0
eBook Packages: Computer ScienceComputer Science (R0)