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.
This research was funded by Millenium Nucleus Center for Web Research, Grant P01-029-F, Chile.
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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. https://doi.org/10.1007/978-3-540-27814-6_25
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DOI: https://doi.org/10.1007/978-3-540-27814-6_25
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