Concept-based image clustering and summarization of event-related image collections

HuEvent 2014 - Proceedings of the 2014 Workshop on Human Centered Event Understanding from Multimedia

Volumn , Issue , 2014, Pages 23-28

  Papagiannopoulou, Christina ^a   Mezaris, Vasileios ^a  

^a INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

Author keywords

Concept selection; Image clustering; Image collection summarization; Image representation; Model vectors

Indexed keywords

KNOWLEDGE REPRESENTATION;

CONCEPT SELECTION; IMAGE CLUSTERING; IMAGE COLLECTIONS; IMAGE REPRESENTATIONS; MODEL VECTORS;

CLUSTERING ALGORITHMS;

EID: 84945363662     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2660505.2660507     Document Type: Conference Paper

References (30)

1. Y. Avrithis, Y. Kalantidis, G. Tolias, and E. Spyrou. Retrieving landmark and non-landmark images from community photo collections. In Proc. ACM Multimedia, pages 153-162, 2010.
2. N. Conci, F. D. Natale, and V. Mezaris. Synchronization of Multi-User Event Media SEM at MediaEval 2014: Task Description, Datasets, and Evaluation. In Proc. MediaEval Workshop, 2014.
3. M.-S. Dao, A.-D. Duong, and F. G. D. Natale. Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms. In Proc. IEEE Int. Conf. on Acoustic, Speech and Signal Processing (ICASSP), pages 4831-4835, 2014.
4. D. Defays. An efficient algorithm for a complete link method. The Computer Journal, 20(4):364-366, 1977.
5. M. D. Fabro, A. Sobe, and L. Böszörmenyi. Summarization of real-life events based on community-contributed content. In Proc. Fourth Int. Conf. on Advances in Multimedia (MMEDIA), pages 119-126, 2012.
6. B. J. Frey and D. Dueck. Clustering by passing messages between data points. Science, 315(5814):972-976, 2007.
7. T. F. Gonzalez. Clustering to minimize the maximum intercluster distance. Theoretical Computer Science, 38:293-306, 1985.
8. C. Harris and M. Stephens. A combined corner and edge detector. In Proc. of the 4th Alvey Vision Conference, pages 147-151, 1988.
9. N. Kanhabua, C. Niederée, and W. Siberski. Towards Concise Preservation by Managed Forgetting: Research Issues and Case Study. In Proc. 10th Int. Conf. on Preservation of Digital Objects (iPRES), 2013.
10. L. Kaufman and P. J. Rousseeuw. Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley & Sons, 1990.
11. C. Kuoman, S. Tollari, and M. Detyniecki. UPMC at MediaEval 2013: Relevance by Text and Diversity by Visual Clustering. In Proc. MediaEval Workshop, 2013.
12. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, volume 2, pages 2169-2178, 2006.
13. J. MacQueen. Some methods for classification and analysis of multivariate observations. In Proc. 5th Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297. CA, USA, 1967.
14. K. Makantasis, A. Doulamis, and N. Doulamis. A non-parametric unsupervised approach for content based image retrieval and clustering. In Proc. 4th ACM/IEEE Int. Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Stream, pages 33-40, 2013.
15. F. Markatopoulou, A. Moumtzidou, C. Tzelepis, and et. al. ITI-CERTH participation to TRECVID 2013. In Proc. of TRECVID Workshop, 2013.
16. M. Mazloom, E. Gavves, K. V. D. Sande, and C. Snoek. Searching Informative Concept Banks for Video Event Detection. In Proc. 3rd ACM Int. Conf. on Multimedia Retrieval, pages 255-262, 2013.
17. V. Mezaris, P. Sidiropoulos, A. Dimou, and I. Kompatsiaris. On the Use of Visual Soft Semantics for Video Temporal Decomposition to Scenes. In Proc. 4th IEEE Int. Conf. on Semantic Computing (ICSC), pages 141-148, 2010.
18. P.-A. Moëllic, J.-E. Haugeard, and G. Pitel. Image Clustering based on a Shared Nearest Neighbors Approach for Tagged Collections. In Proc. 2008 Int. Conf. on Content-based Image and Video Retrieval, pages 269-278. ACM, 2008.
19. P. Over, G. Awad, M. Michel, and et. al. Trecvid 2013 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In Proc. TRECVID Workshop, 2013.
20. S. Papadopoulos, C. Zigkolis, G. Tolias, and et. al. Image Clustering through Community Detection on Hybrid Image Similarity Graphs. In Proc. 17th IEEE Int. Conf. on Image Processing (ICIP), pages 2353-2356, 2010.
21. R. Y. Rubinstein and D. P. Kroese. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning. Springer, 2004.
22. S. Rudinac, A. Hanjalic, and M. Larson. Finding representative and diverse community contributed images to create visual summaries of geographic areas. In Proc. 19th ACM Int. Conf. on Multimedia, pages 1109-1112, 2011.
23. R. Sibson. SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16(1):30-34, 1973.
24. I. Simon, N. Snavely, and S. Seitz. Scene summarization for online image collections. In Proc. 11th IEEE Int. Conf. on Computer Vision (ICCV), pages 1-8, 2007.
25. J. Smith, M. Naphade, and A. Natsev. Multimedia semantic indexing using model vectors. In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME), volume 2, pages II-445, 2003.
26. A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. The Journal of Machine Learning Research, 3:583-617, 2003.
27. C. Supriyanto, G. F. Shidik, R. A. Pramunendar, and P. N. Andono. Performance Enhancement of Image Clustering Using Singular Value Decomposition in Color Histogram Content-Based Image Retrieval. Int. Journal of Computer and Communication Engineering, 1(4):317-320, 2012.
28. G. Szu″cs, Z. Paróczi, and D. M. Vincz. BMEMTM at MediaEval 2013 Retrieving Diverse Social Images Task: Analysis of Text and Visual Information. In Proc. MediaEval Workshop, 2013.
29. Y. Yang, D. Xu, F. Nie, S. Yan, and Y. Zhuang. Image clustering using local discriminant models and global integration. IEEE Transactions on Image Processing, 19(10):2761-2773, 2010.
30. C. Zhai, W. W. Cohen, and J. Lafferty. Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval. In Proc. 26th Annual Int. ACM SIGIR Conf. on Research and Development on Information Retrieval, pages 10-17, 2003.