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Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image
Joint Authors
Sánchez-Escobar, Juan J.
León-Paredes, Gabriel A.
Pareja-Lora, Antonio
Barbosa-Santillán, Liliana Ibeth
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Maritime safety and security are being constantly jeopardized.
Therefore, identifying maritime flow irregularities (semi-)automatically may be crucial to ensure maritime security in the future.
This paper presents a Ship Semantic Information-Based, Image Similarity Calculation System (Ship-SIBISCaS), which constitutes a first step towards the automatic identification of this kind of maritime irregularities.
In particular, the main goal of Ship-SIBISCaS is to automatically identify the type of ship depicted in a given image (such as abandoned, cargo, container, hospital, passenger, pirate, submersible, three-decker, or warship) and, thus, classify it accordingly.
This classification is achieved in Ship-SIBISCaS by finding out the similarity of the ship image and/or description with other ship images and descriptions included in its knowledge base.
This similarity is calculated by means of an LSA algorithm implementation that is run on a parallel architecture consisting of CPUs and GPUs (i.e., a heterogeneous system).
This implementation of the LSA algorithm has been trained with a collection of texts, extracted from Wikipedia, that associate some semantic information to ImageNet ship images.
Thanks to its parallel architecture, the indexing process of this image retrieval system has been accelerated 10 times (for the 1261 ships included in ImageNet).
The range of the precision of the image similarity method is 46% to 92% with 100% recall (that is, a 100% coverage of the database).
American Psychological Association (APA)
León-Paredes, Gabriel A.& Barbosa-Santillán, Liliana Ibeth& Sánchez-Escobar, Juan J.& Pareja-Lora, Antonio. 2019. Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image. Scientific Programming،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1210716
Modern Language Association (MLA)
León-Paredes, Gabriel A.…[et al.]. Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image. Scientific Programming No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1210716
American Medical Association (AMA)
León-Paredes, Gabriel A.& Barbosa-Santillán, Liliana Ibeth& Sánchez-Escobar, Juan J.& Pareja-Lora, Antonio. Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1210716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210716