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We propose an iterative method of Weighted Region Consolidation to track a camouflaged object within a background of very close colour in an image sequence, where the colours for both the object and the background are unsteady with large noises. More precisely, we will first detect the object motion based on both spatial and intensity densities by locating(More)
A similarity enrichment scheme for the application to image compression through the extension of weighted finite automata (WFA) has been recently proposed [ I ] by the authors. We shall here first establish additional theoretical results on the extended WFA of minimum states. We then devise an effective inference algorithm and its concrete implementation(More)
In this paper, we propose a watermarking scheme for the image ownership verification in terms of a private key pattern and wavelet filters. The water-marking is mainly achieved within the process of decomposition and reconstruction by forging watermark-carrying wavelet filters. This scheme improves the watermark robustness and invisibility since it(More)
We propose a wavelet-based watermarking scheme by dynamically constructing the filters embedded within the watermark as well as the potential of the private key patterns associated with the individual images. This scheme explores the watermark dissemination in a non-traditional dimension, allows the dual purpose of the embedded data as either watermarks or(More)
Grouping images into semantically meaningful categories using basic low-level visual features is a challenging and important problem in content-based image retrieval. The enormity and diversity of the visual contents on the Web images adds another dimension to this challenging task. Moreover, the retrieval of Web images cannot be easily achieved with images(More)