Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: https://dspace.ctu.edu.vn/jspui/handle/123456789/12145
Nhan đề: SIR-DL: An architecture of semantic-based image retrieval using deep learning technique and RDF triple language
Tác giả: Van, The Thanh
Do, Quang Khoi
Le, Huu Ha
Le, Manh Thanh
Từ khoá: Bag of visual word
Deep learning
Ontology
SBIR
Similarity measure
Similar images
Năm xuất bản: 2019
Tùng thư/Số báo cáo: Journal of Computer Science and Cybernetics;Vol.35 (01) .- P.39–56
Tóm tắt: The problem of finding and identifying semantics of images is applied in multimedia applications of many different fields such as hospital information system, geographic information system, digital library system, etc. In this paper, we propose the Semantic-Based Image Retrieval (SBIR) system based on the deep learning technique; this system is called as SIR-DL that generates visual semantics based on classifying image contents. Firstly, the color and spatial features of segmented images are extracted and these visual feature vectors are trained on the deep neural network to obtain visual words vectors. Then, we retrieve it on ontology to provide the identities and the semantics of similar images corresponds to a similarity measure. In order to carry out SIR-DL, the algorithms and diagram of this image retrieval system are proposed and after that we implement them on ImageCLEF@IAPR, which has 20,000 images. Based on experimental results, the effectiveness of our method is evaluated; these results are compared with some of the works recently published on the same image dataset. It shows that SIR-DL effectively solves the problem of SBIR and can be used to build multimedia system in many different fields.
Định danh: http://dspace.ctu.edu.vn/jspui/handle/123456789/12145
ISSN: 1813-9663
Bộ sưu tập: Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

Các tập tin trong tài liệu này:
Tập tin Mô tả Kích thước Định dạng  
_file_5.98 MBAdobe PDFXem
Your IP: 3.230.1.23


Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.