Khairul Munadi, Fitri Arnia, Mohd. Syaryadhi, Hitoshi Kiya
This paper presents a content-based image retrieval mechanism for visually protected image databases. Visual protection is provided as a means to prevent illegal use of a database by those who could break access control, such as an untrustworthy server provider or intruders. Considering the widespread use of the JPEG standard, we focus on JPEG-coded images in the current work and exploit several advantages of the Discrete Cosine Transform (DCT). The visually protected images were obtained by applying DCT-based scrambling to the original images. The proposed scheme directly extracts a DC image from the lowest frequency DCT coefficients of a visually protected image and measures its similarity with a thumbnail of arbitrary size that is queried by a user. In this way, unscrambling of the image database is not necessary. In this work, the MPEG- 7 Color Layout Descriptor (CLD) is used to represent image features. The matching step is accomplished by calculating the distance between the CLD of the DC image and the CLD of the thumbnail of various sizes. We also investigated the effect of querying thumbnails of various sizes on retrieval performance. We concluded that image size has nearly no impact on the ranks of retrieved images. © 2015 IEEE.
Department of Electrical Engineering, Faculty of Engineering, Graduate Program of Electrical Engineering, Syiah Kuala University, Banda Aceh, 23111, Indonesia; Graduate Program of Electrical Engineering, Syiah Kuala University, Banda Aceh, 23111, Indonesia; Faculty of System Design, Tokyo Metropolitan University, Tokyo, 1910065, Japan
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock