Content-Based Image Retrieval and Characterization on Specific Web Collections

R. Baeza-Yates, J. Ruiz-del-Solar, R. Verschae, C. Castillo, C. Hurtado

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)189-198
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3115
Publication statusPublished - 1 Dec 2004
Externally publishedYes

Fingerprint

Content based retrieval
Content-based Image Retrieval
Image retrieval
Scalability
Video Retrieval
Content-based Retrieval
Image Retrieval
Face
Vision

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Content-Based Image Retrieval and Characterization on Specific Web Collections. / Baeza-Yates, R.; Ruiz-del-Solar, J.; Verschae, R.; Castillo, C.; Hurtado, C.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3115, 01.12.2004, p. 189-198.

Research output: Contribution to journalArticle

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