Now showing items 1-2 of 2

  • Comparing dissimilarity measures for content-based image retrieval. 

    Liu, Haiming; Song, Dawei; Ruger, Stefan; Hu, Rui; Uren, Victoria (Springer http://dx.doi.org/10.1007/978-3-540-68636-1_5, 2008)
    LIU, H., SONG, D., RUGER, S., HU, R. AND UREN, V., 2008. Comparing dissimilarity measures for content-based image retrieval. In: H. LI, T. LIU, W-Y. MA, T. SAKAI, K-F. WONG and G. ZHOU, eds. Information Retrieval Technology: 4th Asia Information Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008; Revised Selected Papers. Berlin: Springer. pp. 44-50.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity ...
  • Dissimilarity measures for content-based image retrieval. 

    Hu, Rui; Ruger, Stefan; Song, Dawei; Liu, Haiming; Huang, Zi (IEEE http://dx.doi.org/10.1109/ICME.2008.4607697, 2008-06)
    HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z., 2008. Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings. 23-26 June 2008. IEEE. pp. 1365-1368.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three ...