Abstract
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.
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Puenternan Fernández, W., Beltrán Castañón, C.A. (2019). A Mixed Model Based on Shape Context and Spark for Sketch Based Image Retrieval. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_32
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DOI: https://doi.org/10.1007/978-3-030-11680-4_32
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