Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)

Jose M. Saavedra*

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

66 Citas (Scopus)

Resumen

This paper introduces S-HELO (Soft-Histogram of Edge Local Orientations), an outperforming method for describing images in the context of sketch based image retrieval (SBIR). This proposal exploits the advantages provided by the HELO descriptor for describing sketches, and improves significantly its performance by using a soft computation of local orientations and taking into account spatial information. We experimentally demonstrate that a soft computation process together with a local estimation of orientations are very suitable for describing sketches in the context of image retrieval. Indeed, our results show that S-HELO significantly outperforms not only HELO but also classical orientation-based descriptors as HOG. We also show that S-HELO performs very close to the optimal when what we want to retrieve are target images. Moreover, our proposal also shows an outstanding performance for similarity search, i.e., retrieving images that belong to the same category of the query sketch.

Idioma originalInglés
Título de la publicación alojada2014 IEEE International Conference on Image Processing, ICIP 2014
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas2998-3002
Número de páginas5
ISBN (versión digital)9781479957514
DOI
EstadoPublicada - 28 ene. 2014
Publicado de forma externa

Serie de la publicación

Nombre2014 IEEE International Conference on Image Processing, ICIP 2014

Nota bibliográfica

Publisher Copyright:
© 2014 IEEE.

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