Abstract: A method and computer programs for detecting document regions that will be excluded from a watermark embedding process are disclosed. The method comprises converting, by an adapter module, at least one page of a received document into a visual representation thereof, the visual representation keeping the position of the characters of the at least one page; receiving, by a text detector, the visual representation; processing, by the text detector, the visual representation using one or more artificial intelligence algorithms, and returning a list of invalid regions with their associated page positions as a result, wherein each invalid region of the list of invalid regions may have associated thereto a confidence score; and using, by a watermark embedding module or by a watermark extracting module, the list of invalid regions to provide a watermarked document or a message embedded in the document.

Abstract: A method for watermarking documents comprising: identifying and locating spaces in a received original document (10) by a location analysis (110) module which distinguishes between intra-word spaces and inter-word spaces; minimizing an error probability of interference between intra-word spaces and inter-word spaces in the watermarked document (20) by an optimization module (111); encoding (113) the message (30) into codewords and encoding (114) the codewords into the watermark; embedding the watermark to generate (115) the watermarked document (20) by modifying the intra-word spaces and inter-word spaces of the original document (10).

Abstract: A method for watermarking documents comprising: identifying and locating spaces in a received original document (10) by a location analysis (110) module which distinguishes between intra-word spaces and inter-word spaces; minimizing an error probability of interference between intra-word spaces and inter-word spaces in the watermarked document (20) by an optimization module (111); encoding (113) the message (30) into codewords and encoding (114) the codewords into the watermark; embedding the watermark to generate (115) the watermarked document (20) by modifying the intra-word spaces and inter-word spaces of the original document (10).

Abstract: A method for watermarking documents comprising: identifying and locating spaces in a received original document (10) by a location analysis (110) module which distinguishes between intra-word spaces and inter-word spaces; minimizing an error probability of interference between intra-word spaces and inter-word spaces in the watermarked document (20) by an optimization module (111); encoding (113) the message (30) into codewords and encoding (114) the codewords into the watermark; embedding the watermark to generate (115) the watermarked document (20) by modifying the intra-word spaces and inter-word spaces of the original document (10).

Abstract: Method and system for channel-invariant robust audio hashing is provided with a robust hash extraction step where a robust hash is extracted from audio content dividing the audio content in frames; applying a transformation procedure on the frames to compute, for each frame, transformed coefficients; applying a normalization procedure on the transformed coefficients to obtain normalized coefficients, where the normalization procedure computes the product of the sign of each coefficient of the transformed coefficients by an amplitude-scaling-invariant function of any combination of the transformed coefficients; applying a quantization procedure on the normalized coefficients to obtain the robust hash of the audio content; and a comparison step where the robust hash is compared with reference hashes to find a match.

Abstract: Method and system for channel-invariant robust audio hashing, the method comprising: a robust hash extraction step wherein a robust hash is extracted from audio content, said step comprising: dividing the audio content in frames; applying a transformation procedure on said frames to compute, for each frame, transformed coefficients; applying a normalization procedure on the transformed coefficients to obtain normalized coefficients, wherein said normalization procedure comprises computing the product of the sign of each coefficient of said transformed coefficients by an amplitude-scaling-invariant function of any combination of said transformed coefficients; applying a quantization procedure on said normalized coefficients to obtain the robust hash of the audio content; and a comparison step wherein the robust hash is compared with reference hashes to find a match.