Abstract
Bag-of-visual-words (BOVW) is a representation of images which is built using a large set of local features. To date, the experimental results presented in the literature have shown that this approach achieves high retrieval scores in several benchmarking image databases because of their ability to recognize objects and retrieve near-duplicate (to the query) images. In this paper, we propose a novel method that fuses the idea of inserting the spatial relationship of the visual words in an image with the conventional Visual Words method. Incorporating the visual distribution entropy leads to a robust scale invariant descriptor. The experimental results show that the proposed method demonstrates better performance than the classic Visual Words approach, while it also outperforms several other descriptors from the literature.
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References
Aly, M., Welinder, P., Munich, M.E., Perona, P.: Automatic discovery of image families: Global vs. local features. In: ICIP, pp. 777–780. IEEE, Los Alamitos (2009)
Arampatzis, A., Zagoris, K., Chatzichristofis, S.A.: Dynamic two-stage image retrieval from large multimodal databases. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 326–337. Springer, Heidelberg (2011)
Bay, H., Ess, A., Tuytelaars, T., Gool, L.J.V.: Speeded-up robust features (surf). Computer Vision and Image Understanding 110(3), 346–359 (2008)
Chatzichristofis, S.A., Boutalis, Y.S., Lux, M.: SpCD—spatial color distribution descriptor. A fuzzy rule based compact composite descriptor appropriate for hand drawn color sketches retrieval. In: ICAART, pp. 58–63 (2010)
Cinque, L., Ciocca, G., Levialdi, S., Pellicanò, A., Schettini, R.: Color-based image retrieval using spatial-chromatic histograms. Image Vision Comput. 19(13), 979–986 (2001)
Cula, O.G., Dana, K.J.: Compact representation of bidirectional texture functions. In: CVPR (1), pp. 1041–1047 (2001)
Ding, G., Zhang, L., Li, X.: Video annotation based on adaptive annular spatial partition scheme. IEICE Electronics Express 7(1), 7–12 (2010)
Hsu, W., Chua, S.T., Pung, H.H.: An integrated color-spatial approach to content-based image retrieval. In: Proceedings of the Third ACM International Conference on Multimedia, pp. 305–313. ACM, New York (1995)
Huang, J., Kumar, R., Mitra, M., Zhu, W.J., Zabih, R.: Image indexing using color correlograms. In: CVPR, pp. 762–768 (1997)
Kogler, M., Lux, M.: Bag of visual words revisited: an exploratory study on robust image retrieval exploiting fuzzy codebooks. In: Proceedings of the Tenth International Workshop on Multimedia Data Mining, MDMKDD 2010, pp. 3:1–3:6. ACM, New York (2010)
Li, X., Chen, L., Zhang, L., Lin, F., Ma, W.Y.: Image annotation by large-scale content-based image retrieval. In: ACM Multimedia, pp. 607–610. ACM, New York (2006)
Lowe, D.G.: Object recognition from local scale-invariant features. In: ICCV, pp. 1150–1157 (1999)
Manjunath, B.S., Ohm, J.R., Vasudevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Trans. Circuits Syst. Video Techn. 11(6), 703–715 (2001)
Nister, D., Stewenius, H.: Scalable recognition with a vocabulary tree. In: Proc. CVPR, Citeseer, vol. 5 (2006)
Pass, G., Zabih, R.: Histogram refinement for content-based image retrieval. In: IEEE Workshop on Applications of Computer Vision, pp. 96–102 (1996)
Popescu, A., Moëllic, P.A., Kanellos, I., Landais, R.: Lightweight web image reranking. In: ACM Multimedia, pp. 657–660 (2009)
Rao, A., Srihari, R.K., Zhang, Z.: Spatial color histograms for content-based image retrieval. In: ICTAI, pp. 183–186 (1999)
Chatzichristofis, S.A., Boutalis, Y.S., Lux, M.: Img(rummager): An interactive content based image retrieval sytem. In: 2nd International Workshop on Similarity Search and Applications (SISAP), pp. 151–153 (2009)
Stricker, M., Dimai, A.: Color indexing with weak spatial constraints. In: SPIE Proceedings, vol. 2670, pp. 29–40 (1996)
Sun, J., Zhang, X., Cui, J., Zhou, L.: Image retrieval based on color distribution entropy. Pattern Recognition Letters 27(10), 1122–1126 (2006)
Thomee, B., Bakker, E.M., Lew, M.S.: Top-surf: a visual words toolkit. In: ACM Multimedia, pp. 1473–1476 (2010)
Zhang, S., Tian, Q., Hua, G., Huang, Q., Li, S.: Descriptive visual words and visual phrases for image applications. In: ACM Multimedia, pp. 75–84 (2009)
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Chatzichristofis, S.A., Iakovidou, C., Boutalis, Y.S. (2011). Content Based Image Retrieval Using Visual-Words Distribution Entropy. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2011. Lecture Notes in Computer Science, vol 6930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24136-9_18
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DOI: https://doi.org/10.1007/978-3-642-24136-9_18
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