• Publications
  • Influence
High-capacity reversible data hiding in encrypted images by prediction error
TLDR
Two reversible data hiding methods in encrypted images, namely a joint method and a separable method, are introduced by adopting prediction error. Expand
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  • 22
Improved DCT-based detection of copy-move forgery in images.
TLDR
An improved DCT-based method is developed to detect the duplicated regions even when an image was distorted by JPEG compression or additive white Gaussian noise. Expand
  • 242
  • 16
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
TLDR
We propose OmniAnomaly, a stochastic recurrent neural network for multivariate time series anomaly detection that works well robustly for various devices. Expand
  • 50
  • 13
  • PDF
Incentives for Mobile Crowd Sensing: A Survey
TLDR
This paper surveys diverse strategies that are proposed in the literature to provide incentives for stimulating users to participate in mobile crowd sensing applications. Expand
  • 316
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  • PDF
High payload image steganography with minimum distortion based on absolute moment block truncation coding
  • D. Ou, W. Sun
  • Computer Science
  • Multimedia Tools and Applications
  • 1 November 2015
TLDR
This paper presents an improved image steganography scheme based on absolute moment block truncation coding (AMBTC). Expand
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Hello: A generic flexible protocol for neighbor discovery
TLDR
We propose Hello, a generic flexible protocol for neighbor discovery. Expand
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  • 9
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Quality of Service Networking for Smart Grid Distribution Monitoring
In order to realize the Smart Grid vision, it is necessary to have guaranteed Quality of Service (QoS) for the communication and networking technology used in various stages of the Smart Grid,Expand
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  • 9
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Virtual people: capturing human models to populate virtual worlds
TLDR
A new technique is introduced for automatically building recognisable moving 3D models of individual people suitable for personalised avatars to populate virtual worlds. Expand
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  • 8
  • PDF
ADAPTLOAD: effective balancing in clustered web servers under transient load conditions
TLDR
We focus on adaptive policies for load balancing in clustered web servers, based on the size distribution of the requested documents. Expand
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  • 8
  • PDF
Sparse Convex Clustering
TLDR
We introduce a new clustering method, referred to as Sparse Convex Clustering, to simultaneously cluster observations and conduct feature selection. Expand
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  • 8
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