Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"data embedding"”.
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Difference-expansion based reversible data hiding and its steganalysis
A novel reversible data embedding method was reported in a recent IEEE journal article. The method was based on difference expansion (DE) technique. It used redundancy in digital images to achieve a high embedding capacity, while keeping visual distortion of the stego-image low. In this thesis, …
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Study of joint embedding and compression on JPEG compression scheme using multiple codebook data hiding
… a direct application of multiple codebook data hiding technique in the multimedia applications. It studies the practical implementation of a joint embedding and compression scheme. It presents a study of Type III data embedding technique using multiple codebook design on JPEG-85 compression …
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A smart diaper wetness detection sensor : concept, design and ethical considerations
… diapers is a rich source of medical health based data. Embedding low-cost, wearable sensors in disposable diapers provides an opportunity for self-health monitoring and advancing preventative medicine. Diaper users include infants, elderly, disabled individuals, and hospital patients. Diaper …
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H.264 Encoded Digital Video Protection using Temporal Redundancy LSB Steganography
… used to steganographically embed unique binary data within the digital video stream, this results in a unique embedding strategy within each video stream while also utilising areas that reduce the potential data loss experienced during the H.264 encoding process. <br/><br/>The effectivness of …
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Structural features of persistent homology and their algorithmic transformations
… covers several aspects: schemes to process input data (embedding it in a low-dimensional manifold), categorical descriptions of persistence objects, and algorithms by which the barcode summarizing the homology is found. We overview these aspects, focusing on altered simplicial complexes, …
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Learning strictly orthogonal p-order nonnegative Laplacian embedding via smoothed iterative reweighted method
Laplacian embedding is a powerful graph based method with its ability in spectral clustering to reveal the intrinsic geometry of data in the high dimensional space. Imposing the orthogonality and the nonnegativity constraints can avoid degenerate and negative solutions, respectively. These two …
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Deep Learning Methods for Built Environment Operational Management
… monitoring. By leveraging repeated inspection data, employing standalone discriminator models trained solely on normal time series samples, and using kernel density estimation for probabilistic AD, DEGAN achieved a balanced F1 score of 0.83 (R = 0.8 | P = 0.86) and outperformed classical …