A mixed model based on shape context and spark for sketch based image retrieval

Willy Puenternan Fernández, César A. Beltrán Castañón

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

Resumen

Nowadays, information is not limited to textual representation but takes several other forms such as sketch-based image retrieval, where the user draws a query, and the system retrieves the most similar images. In this work we present a mixed approach combining shape context and Spark features, previously we had applied the Bag-of-Features strategy to select regions of interest, achieving significant improvement in effectiveness of the retrieval task. Our method works as a local strategy for key-points detection. Results are very auspicious, and we show different experiments conducted to demonstrate our proposed methodology. The highlight of this paper is the step-by-step description of the methodology to create a framework for sketch-based image retrieval.

Idioma originalInglés
Título de la publicación alojadaInformation Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings
EditoresDenisse Muñante, Hugo Alatrista-Salas, Juan Antonio Lossio-Ventura
EditorialSpringer Verlag
Páginas341-348
Número de páginas8
ISBN (versión impresa)9783030116798
DOI
EstadoPublicada - 2019
Evento5th International Conference on Information Management and Big Data, SIMBig 2018 - Lima, Perú
Duración: 3 set. 20185 set. 2018

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen898
ISSN (versión impresa)1865-0929

Conferencia

Conferencia5th International Conference on Information Management and Big Data, SIMBig 2018
País/TerritorioPerú
CiudadLima
Período3/09/185/09/18

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