Joint use of semantics and visual analysis for automatic image annotation and retrieval

Authors

  • Sergio Rodrí­guez-Vaamonde El profesional de la información
  • Pilar Ruiz-Ibáñez
  • Marta González-Rodrí­guez

DOI:

https://doi.org/10.3145/epi.2012.ene.04

Keywords:

Automatic image annotation, Computer vision, Semantic technologies, Natural language processing, Image contextualisation, Content-based image retrieval (cbir).

Abstract

The present stage of development of semantic systems used in the indexing and retrieval of non-text information on the internet is described. The most effective algorithms for retrieval of non-text information are the combined use of computer vision and content analysis of the text associated with the images. These techniques can lead to the best results in the retrieval of relevant information. The Web´s immediate future lies in automatic contextualisation of images to establish similarities between them and to be able to effectively retrieve non-text content.

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Published

2012-01-27

How to Cite

Rodrí­guez-Vaamonde, S., Ruiz-Ibáñez, P., & González-Rodrí­guez, M. (2012). Joint use of semantics and visual analysis for automatic image annotation and retrieval. Profesional De La información, 21(1), 27–33. https://doi.org/10.3145/epi.2012.ene.04

Issue

Section

Research articles