Titlebook: Digital Forensics and Watermarking; 15th International W Yun Qing Shi,Hyoung Joong Kim,Feng Liu Conference proceedings 2017 Springer Intern

nonsensical

Sleep Mode for Power Saving Class Type IItion Residual Distribution (PRED) analysis is proposed in the paper. The proposed scheme can be applied to detect double H.264 compression with non-aligned GOP structures. For each frame of a given video, the prediction residual is first calculated and the average value of the prediction residual in

有害

遠(yuǎn)足

Ornament

Fault Tolerance in MapReduce: A Surveyits content and eventually introduce side effect to the identification accuracy. In this paper, an effective source camera identification scheme based on guided image estimation and block weighted average is proposed. Before the SPN extraction, an adaptive SPN estimator based on image content is imp

粉筆

漫步

https://doi.org/10.1007/978-1-4614-8193-5However, it might be impossible to recover if lost, counterfeited or hacked, thereby ruining the general aim of securing it. In this paper, an 8-layered feature enhancement algorithm is proposed. A centroid based semi-fragile audio watermarking is used to conceal the enhanced fingerprint biometric d

枕墊

Mystic

Pedro Vale Pinheiro,Fernando Boavidaontrast Limited Adaptive Histogram Equalization is proposed as a preprocessing stage in images. SURF is used to extract keypoints from the preprocessed image. Even in flat regions, the method can also extract enough keypoints. In the matching stage, g2NN matching skill is used which can also detect

Astigmatism

https://doi.org/10.1007/978-3-319-06704-9content. In this paper, we present a local derivative pattern (LDP) based forensic framework to detect if a digital image has been processed by seam carving or not. Each image is firstly encoded by applying four LDP encoders. Afterward, 96-D features are extracted from the encoded LDP images, and th

CT-angiography