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Digital image steganography: Survey and analysis of current methods
TLDR
This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature and some recommendations and advocates for the object-oriented embedding mechanism. Expand
A skin tone detection algorithm for an adaptive approach to steganography
TLDR
A new colour space is used which contains error signals derived from differentiating the grayscale map and the non-red encodedgrayscale version to show that luminance can be useful in the segregation of skin and non-skin clusters. Expand
Biometric Inspired Digital Image Steganography
TLDR
This paper proposes using human skin tone detection in colour images to form an adaptive context for an edge operator which will provide an excellent secure location for data hiding. Expand
A dynamic threshold approach for skin segmentation in color images
TLDR
Novel online learned dynamic thresholds are used to overcome the above drawbacks and the experimental results show that the method is robust in overcoming these drawbacks. Expand
A secure and improved self-embedding algorithm to combat digital document forgery
TLDR
A 1D hash algorithm coupled with 2D iFFT (irreversible Fast Fourier Transform) to encrypt digital documents in the 2D spatial domain and allows legal or forensics expert gain access to the original document despite being manipulated. Expand
An emotional student model for game-play adaptation
TLDR
Creating an emotional student model that can reason about students’ observable behaviour during online game-play is the main goal of this research, and the analysis, design and implementation for this model are the central focus. Expand
Enhancing Steganography in Digital Images
TLDR
This paper discusses the possibility of embedding data in the frames of video files with face instances present and calls it adaptive as it selects the specific region of interest (ROI) in the cover image where it can safely embed data. Expand
PlayPhysics: An Emotional Games Learning Environment for Teaching Physics
TLDR
This research focuses on designing and implementing an affective student model for intelligent gaming, which reasons about the learner's emotional state from cognitive and motivational variables using observable behaviour. Expand
Integration of Natural Language and Vision Processing
TLDR
The need for a formal language in which to express and reason about spatial concepts is of crucial importance in many areas of AI and visual systems and research by the Qualitative Spatial Reasoning Group, University of Leeds has centred on the development and application of such a language the RCC spatial logic. Expand
A dynamic threshold approach for skin tone detection in colour images
TLDR
Novel online learned dynamic thresholds are used to overcome the above drawbacks and the experimental results show that the method is robust in overcoming these drawbacks. Expand
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