Paper Info
Title
Robust image identification without any visible information for double-compressed JPEG images.
Abstract
A robust identification scheme for JPEG images is proposed in this paper. The aim is to robustly identify JPEG images generated from the same original image, under various compression conditions assumed for images uploaded to social networks. Conventional schemes are not applicable to identification of double-compressed images because they do not consider the errors caused by double-compression. In the proposed scheme, the use of new properties of DCT coefficients, in which the JPEG compression errors are considered, allows us to identify double-compressed images. In addition, the proposed one can carry out identification without using any visible information. This scheme is well-suited for the uploading images to social networks and for image retrieval and forensics. Experimental results demonstrate that the proposed scheme is effective in terms of the querying performance, even if images are double-compressed.
Year
Venue
Keywords
2017
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Image identification,JPEG,social networks
Field
DocType
ISSN
Computer vision,Identification scheme,Computer science,Upload,Discrete cosine transform,Image retrieval,Transform coding,Robustness (computer science),Feature extraction,JPEG,Artificial intelligence
Conference
2309-9402
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Kenta Iida111.70
Hitoshi Kiya2616113.80