论文信息 - Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering

Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering

In this paper, we describe our approach and its results for MediaEval 2014 Retrieving Diverse Social Images Task. The basic idea of our proposed method is to filter out non-relevant images at the beginning of the process and then construct a hierarchical tree which allows to cluster the images with different criteria on visual and textual features. Experimental results shown that it is stable and has little fluctuation with the number of topics.

[1] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[2] Tian Zhang,et al. BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.

[3] Bogdan Ionescu,et al. Retrieving Diverse Social Images at MediaEval 2017: Challenges, Dataset and Evaluation , 2017, MediaEval.

[4] See-May Phoong,et al. Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems Robust Measure of Image Focus in the Wavelet Domain , 2022 .