La Semántica de las Imágenes y el Análisis de su Contenido

the images transmit information in different ways, the description can be referring to the shape of objects, colors, textures; however, they can also convey concepts, which will be formed by the set of objects present in an image. In this work, an image description approach is presented from the semantic perspective and is evaluated through a lexical-syntactic analysis to verify that the descriptions given are part of the defined language, so a syntactic verification module is used which turned out to be very useful since the input data will not always belong to the work set, although it is an adaptable model and with growth possibilities, it is necessary to define the data to work; Therefore, the syntactic verification avoids “noise” to the model to ensure that the classes that enter are a valid class and a refinement of the descriptions can be made.

• Publication year

  2019

• Venue

  RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

• Publication date

  2019-09-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.17013/risti.34.20-28
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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