Advertisement

Language Translation and Media Transformation in Cross-Language Image Retrieval

  • Hsin-Hsi Chen
  • Yih-Chen Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)

Abstract

Cross-language image retrieval facilitates the use of text query in one language and image query in one medium to access image collection with text description in another language/medium. The images with annotations are considered as a trans-media parallel corpus. In a media-mapping approach, we transform a query in one medium into a query in another medium by referencing to the aligned trans-media corpus. From the counterpart of results of an initial retrieval, we generate a new query in different medium. In the experiments, we adopted St. Andrews University Library’s photographic collection used in ImageCLEF, and explored different models of language translation and media transformation. When both text query and image query are given together, the best MAP of a cross-lingual cross-media model 1L2M (one language translation plus two media transformations) achieve 87.15% and 72.39% of those of mono-lingual image retrieval in the 2004 and the 2005 test sets, respectively. That demonstrates our media transformation is quite useful, and it can compensate for the errors introduced in language translation.

Keywords

Image Retrieval Image Query Text Description Query Term Mean Average Precision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Baan, J., van Ballegooij, A., Geusenbroek, J.M., den Hartog, J., Hiemstra, D., List, J., Patras, I., Raaijmakers, S., Snoek, C., Todoran, L., Vendrig, J., de Vries, A., Westerveld, T., Worring, M.: Lazy Users and Automatic Video Retrieval Tools in the Lowlands. In: Proceedings of the Tenth Text Retrieval Conference, pp. 159–168 (2002)Google Scholar
  2. 2.
    Besançon, R., Hède, P., Moellic, P.A., Fluhr, C.: Cross-Media Feedback Strategies: Merging Text and Image Information to Improve Image Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 709–717. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Chen, H.H., Bian, G.W., Lin, W.C.: Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval. In: Proceedings of 37th Annual Meeting of the Association for Computational Linguistics, pp. 215–222 (1999)Google Scholar
  4. 4.
    Clough, P., Sanderson, M., Müller, H.: The CLEF 2004 Cross Language Image Retrieval Track. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 597–613. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Clough, P., Müller, H., Deselaers, T., Grubinger, M., Lehmann, T., Jensen, J., Hersh, W.: The CLEF 2005 Cross–Language Image Retrieval Track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 535–557. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  6. 6.
    Davis, M.W., Dunning, T.: A TREC Evaluation of Query Translation Methods for Multi-lingual Text Retrieval. In: Proceedings of TREC-4, pp. 483–498 (1996)Google Scholar
  7. 7.
    Eidenberger, H., Breiteneder, C.: Semantic Feature Layers in Content-based Image Retrieval: Implementation of Human World Features. In: Proceedings of International Conference on Control, Automation, Robotic and Vision (2002)Google Scholar
  8. 8.
    Goodrum, A.A.: Image Information Retrieval: An Overview of Current Research. Information Science 3(2), 63–66 (2000)Google Scholar
  9. 9.
    Jones, G.J.F., Groves, D., Khasin, A., Lam-Adesina, A., Mellebeek, B., Way, A.: Dublin City University at CLEF 2004: Experiments with the ImageCLEF St. Andrew’s Collection. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 653–663. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  10. 10.
    Lin, W.C., Chang, Y.C., Chen, H.H.: Integrating Textual and Visual Information for Cross-Language Image Retrieval. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.-H. (eds.) AIRS 2005. LNCS, vol. 3689, pp. 454–466. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Oard, D.W.: Alternative Approaches for Cross-Language Text Retrieval. In: Working Notes of AAAI-97 Spring Symposiums on Cross-Language Text and Speech Retrieval, pp. 131–139 (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hsin-Hsi Chen
    • 1
  • Yih-Chen Chang
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipeiTaiwan

Personalised recommendations