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This monograph presents a thesis work that attempts to utilize semantics to improve effectiveness in IR. The hypothesis is that with an improved representation of documents and by incorporating limited semantic knowledge, it is possible to improve the effectiveness of an information retrieval (IR) system. In this direction, statistical, hybrid and integrated IR models have been investigated. The conceptual graph (CG) based relevance feedback strategies and CG similarity measures proposed in this thesis are novel contributions. The techniques investigated in this work make use of ...

This book proposes and evaluates secure and robust image steganography techniques in DCT and Wavelet transform domain. The wavelet transforms being investigated in this work are Integer Wavelet Transform (IWT) and Redundant Discrete Wavelet Transform (RDWT). We attempt to enhance the security and robustness by combining embedding domain transform with chaotic sequence, Singular Value Decomposition, and Arnold Transform. The proposed methods are evaluated against different image processing and geometrical operations like JPEG compression, noise addition, filtering, cropping and re-sizing...

Human Computer Interaction is the study of relationships among people and computers. As the digital world is getting multi-modal, the information space is getting more and more complex. In order to navigate this information space and to capture and apply this information to appropriate use, an effective interaction between human and computer is required. Such interactions are only possible if computers can understand and respond to important modalities of human interaction. Speech, Image, and Language Processing for Human Computer Interaction aims to indentify the emerging research areas in...