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Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-09
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
With the advances in electronic and imaging techniques, the production of digital images has rapidly increased, and the extraction and automated annotation of emotional semantics implied by images have become issues that must be urgently addressed.
To better simulate human subjectivity and ambiguity for understanding scene images, the current study proposes an emotional semantic annotation method for scene images based on fuzzy set theory.
A fuzzy membership degree was calculated to describe the emotional degree of a scene image and was implemented using the Adaboost algorithm and a back-propagation (BP) neural network.
The automated annotation method was trained and tested using scene images from the SUN Database.
The annotation results were then compared with those based on artificial annotation.
Our method showed an annotation accuracy rate of 91.2% for basic emotional values and 82.4% after extended emotional values were added, which correspond to increases of 5.5% and 8.9%, respectively, compared with the results from using a single BP neural network algorithm.
Furthermore, the retrieval accuracy rate based on our method reached approximately 89%.
This study attempts to lay a solid foundation for the automated emotional semantic annotation of more types of images and therefore is of practical significance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cao, Jianfang& Chen, Lichao. 2015. Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057790
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cao, Jianfang& Chen, Lichao. Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057790
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cao, Jianfang& Chen, Lichao. Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057790
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057790
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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