829 citations · 2.2k across the 40 of their papers we have counts for
7 papers · 1 filter
Efficient video integrity analysis through container characterization
Pengpeng Yang, Daniele Baracchi, Massimo Iuliani +4
Most video forensic techniques look for traces within the data stream that are, however, mostly ineffective when dealing with strongly compressed or low resolution videos. Recent r…
Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics techniques have always been of great interest for image forensics community, as they can be an effective tool for recovering image history and i…
Deep Multiple Description Coding by Learning Scalar Quantization
Lijun Zhao, Huihui Bai, Anhong Wang +1
In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. First…
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain
Pengpeng Yang, Rongrong Ni, Yao Zhao
In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images…
Adaptive Streaming in Interactive Multiview Video Systems
Xue Zhang, Laura Toni, Pascal Frossard +2
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. A real feeling of scene navigation is enabled by transmitting…
Robust Contrast Enhancement Forensics Using Pixel and Histogram Domain CNNs
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics has always been ofconcern to image forensics community. It can provide aneffective tool for recovering image history and identifyingtampered ima…
Multiple Description Convolutional Neural Networks for Image Compression
Lijun Zhao, Huihui Bai, Anhong Wang +1
Multiple description coding (MDC) is able to stably transmit the signal in the un-reliable and non-prioritized networks, which has been broadly studied for several decades. However…