Multilayer Convolutional Feature Aggregation Algorithm for Image Retrieval
المؤلفون المشاركون
Dong, Rongsheng
Li, Fengying
Liu, Ming
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-26
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
In image retrieval tasks, the single-layer convolutional feature has insufficient image semantic representation ability.
A new image description algorithm ML-RCroW based on multilayer multiregion cross-weighted aggregational deep convolutional features is proposed.
First, the ML-RCroW algorithm inputs an image into the VGG16 (a deep convolutional neural network developed by researchers at Visual Geometry Group and Google DeepMind) network model in which the fully connected layer is discarded.
The visual feature information in the convolutional neural network (CNN) is extracted, and the target response weight map is generated by combining with the spatial weighting algorithm of the target fuzzy marker.
Then, visual features in the CNN are divided into multiple regions, and the pixels of each region are weighted by regional spatial weight, regional channel weight, and regional weight.
The image global vector is generated by aggregating and encoding every region in the weighted feature map.
Finally, features of each layer of the VGG16 network model are extracted and then aggregated and dimensionally reduced to obtain the final feature vector of the image.
The experiments are carried out on the Oxford5k and Paris6k datasets provided by Oxford VGG.
The experimental results show that the average accuracy of image retrieval based on the image feature description algorithm ML-RCroW is better than that achieved by the other commonly used algorithms such as SPoC, R-MAC, and CroW.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dong, Rongsheng& Liu, Ming& Li, Fengying. 2019. Multilayer Convolutional Feature Aggregation Algorithm for Image Retrieval. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1200849
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dong, Rongsheng…[et al.]. Multilayer Convolutional Feature Aggregation Algorithm for Image Retrieval. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1200849
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dong, Rongsheng& Liu, Ming& Li, Fengying. Multilayer Convolutional Feature Aggregation Algorithm for Image Retrieval. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1200849
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1200849
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