Ship-SIBISCaS: A First Step towards the Identification of Potential Maritime Law Infringements by means of LSA-Based Image
المؤلفون المشاركون
Sánchez-Escobar, Juan J.
León-Paredes, Gabriel A.
Pareja-Lora, Antonio
Barbosa-Santillán, Liliana Ibeth
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-03
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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).
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210716
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر