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Title: Representing image captions as concept graphs using semantic information
Authors: Ghosh, Swarnendu
Das, Nibaran
Gonçalves, Teresa
Quaresma, Paulo
Issue Date: 2016
Publisher: IEEE Xplore
Citation: S. Ghosh, N. Das, T. Gonçalves, and P. Quaresma. Representing image captions as concept graphs using semantic information. In ICACCI’2016 – International Conference on Advances in Computing, Communications and Informatics, pages 162–167. IEEE Xplore, September 2016.
Abstract: Conceptual interpretation of languages has gathered peak interest in the world of artificial intelligence. The challenge in modeling various complications involved in a language is the main motivation behind our work. Our main focus in this work is to develop conceptual graphical representation for image captions. We have used discourse representation structure to gain semantic information which is further modeled into a graphical structure. The effectiveness of the model is evaluated by a caption based image retrieval system. The image retrieval is performed by computing subgraph based similarity measures. Best retrievals were given an average rating of𝟐.𝟗𝟓±𝟎.𝟕𝟎𝟕out of 4 by a group of 25 human judges. The experiments were performed on a subset of the SBU Captioned Photo Dataset. This purpose of this work is to establish the cognitive sensibility of the approach to caption representations.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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