International Conference on Image and Video Retrieval

CIVR 2004: Image and Video Retrieval pp 189-198

Content-Based Image Retrieval and Characterization on Specific Web Collections

  • R. Baeza-Yates
  • J. Ruiz-del-Solar
  • R. Verschae
  • C. Castillo
  • C. Hurtado
Conference paper

DOI: 10.1007/978-3-540-27814-6_25

Volume 3115 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Baeza-Yates R., Ruiz-del-Solar J., Verschae R., Castillo C., Hurtado C. (2004) Content-Based Image Retrieval and Characterization on Specific Web Collections. In: Enser P., Kompatsiaris Y., O’Connor N.E., Smeaton A.F., Smeulders A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg

Abstract

One of the challenges in image and video retrieval is the content-based retrieval of images and videos in the web. Less work has been done in this area, mainly due to scalability issues. For this reason, in this paper we investigate this problem by presenting tools for the characterization of the visual contents on specific web collections and a strategy for the search of faces in the web using visual and text information. A case study is also presented in a specific web domain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • R. Baeza-Yates
    • 1
  • J. Ruiz-del-Solar
    • 1
    • 2
  • R. Verschae
    • 1
  • C. Castillo
    • 1
  • C. Hurtado
    • 1
  1. 1.Center for Web Research,Department of Computer ScienceUniversidad de ChileCHILE
  2. 2.Department of Electrical EngineeringUniversidad de ChileCHILE