Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval

2017 ◽  
Vol 26 (12) ◽  
pp. 5706-5717 ◽  
Author(s):  
Peizhong Liu ◽  
Jing-Ming Guo ◽  
Chi-Yi Wu ◽  
Danlin Cai
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Compressed Domain

scholarly journals Deep Learning for Content-Based Image Retrieval

2014 ◽  
Author(s):  
Ji Wan ◽  
Dayong Wang ◽  
Steven Chu Hong Hoi ◽  
Pengcheng Wu ◽  
Jianke Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Content Based Image Retrieval

An Optimal Codebook for Content-Based Image Retrieval in JPEG Compressed Domain

2019 ◽  
Vol 44 (11) ◽  
pp. 9755-9767 ◽  
Author(s):  
Afshan Jamil ◽  
Muhammad Majid ◽  
Syed Muhammad Anwar
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Compressed Domain

A Novel Image Encryption with Deep Learning Model for Secure Content based Image Retrieval

2019 ◽  
pp. 54-64
Author(s):  
Mohamed Elsharkawy ◽  
◽  
Ahmed N. Al Masri ◽  
◽  
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Image Encryption ◽  
Cuckoo Search ◽  
Content Based Image Retrieval ◽  
Query Image ◽  
Search Optimization ◽  
Proposed Model ◽  
Cuckoo Search Optimization ◽  
Visual Properties

From the last decades, a massive quantity of images gets generated and continues to rise to a maximum extent in the forthcoming data. The process of retrieving images based on a query image (QI) is a proficient method of accessing the visual properties from large datasets. Content-based image retrieval (CBIR) provides a way of effectively retrieving images from large databases. At the same time, image encryption techniques can be integrated into the CBIR model to retrieve the images securely. Therefore, this paper presents new image encryption with a deep learning-based secure CBIR model called IEDL-SCBIR. The proposed IEDL-SCBIR technique intends to encrypt the images as well as securely retrieve them. The proposed IEDL-SCBIR technique follows a two-stage process: optimal elliptic curve cryptography (ECC) based encryption and DL based image retrieval. The proposed model derives a cuckoo search optimization (CSO) with the ECC technique for the image encryption process in which the CSO algorithm is applied for optimal key generation. In addition, VGG based feature extraction with Euclidean distance-based similarity measurement is applied for the retrieval process. To validate the enhanced performance of the IEDL-SCBIR technique, a comprehensive results analysis takes place, and the obtained results demonstrate the betterment over the other methods.

Sign in / Sign up

Export Citation Format

Share Document