Please use this identifier to cite or link to this item:
|Title: ||Representing image captions as concept graphs using semantic information|
|Authors: ||Ghosh, Swarnendu|
|Issue Date: ||Sep-2016|
|Citation: ||S. Ghosh, N. Das, T. Gonc ̧alves, 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, 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|
|Appears in Collections:||INF - Aplicações Computacionais|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.