Multilayer Convolutional Feature Aggregation Algorithm for Image Retrieval
Joint Authors
Dong, Rongsheng
Li, Fengying
Liu, Ming
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200849