Stream Processing To Solve Image Search by Similarity

• Autores: Jair Lobos, Graciela Verónica Gil Costa, Nora Susana Reyes, Alicia Marcela Printista, Mauricio Marín
• Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 15, Nº. 2, 2015, págs. 93-99
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • The classic use of Stream Processing platforms enables working with data in real time, which allows you to generate data analysis quickly attending to a decisionmaking process. However, you can use these platforms for other applications such as indexing and subsequent use of similarity search objects in a database. The images can be displayed on a metric space, which has features that allow rules to discard a not similar image quickly without making costly computations. This paper presents the use of a Stream Processing platform to index images generated by different users. For this, it is necessary to represent these images by vectors containing different MPGE-7 features. This paper shows a Stream Processing platform using its processing elements (PEs) in parallel to speed up the operations involved in the index construction.