Sentence examples for camera identification from inspiring English sources

In the present paper, we propose a source camera identification (SCI) method for mobile devices based on deep learning.

Sensor pattern noise (SPN) is an inherent fingerprint of imaging devices, which provides an effective way for source camera identification (SCI).

Source camera identification is still a hard task in forensics community, especially for the case of the query images with small size.

The experiment results show that the proposed method has satisfactory performances at three levels of source camera identification: brand level, model level, and device level.

One approach is through source camera identification.

Cattaneo et al. [4] presented a scalable approach to source camera identification over Hadoop.

It might lead to a problem that we cannot make a clear division of camera source identification and camera model identification because the extracted SPN might contain part of camera model noises, which could be regarded as fingerprints of a special camera model.

The camera model identification problem is cast in the framework of hypothesis testing theory.

The goal of this paper is to design a statistical test for the camera model identification problem.

The goal of this paper is to design a statistical test for the camera model identification problem from JPEG images.

The present paper is similar to our previous work that was proposed for camera model identification from RAW images based on the heteroscedastic noise model.