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. © Springer-Verlag 2004.
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CITATION STYLE
Baeza-Yates, R., Ruiz-del-Solar, J., Verschae, R., Castillo, C., & Hurtado, C. (2004). Content-Based Image Retrieval and Characterization on Specific Web Collections. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3115, 189–198. https://doi.org/10.1007/978-3-540-27814-6_25
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