Efficient detection of a spatial spread-spectrum watermark in MPEG video streams

Watermarking is a technique for embedding imperceptible labels in audio/visual content. Important parameters for any watermarking scheme are imperceptibility, robustness, security, payload, error rates and complexity. In the past few years enormous progress has been made with respect to most of these parameters, except maybe for the latter one. We address this topic of complexity by presenting an efficient method for detecting a spatial video watermark directly in an MPEG video stream. The naive approach would be to do a full MPEG decoding and then apply spatial watermark detection. However, such a full decoding approach would imply large memory and processing resources. We show that, at the cost of a slight decrease of performance, large reductions in complexity are possible. More in particular we show how high speed MPEG parsing, high speed inverse DCT processing and motion compensation can be avoided. On a more abstract level, this paper would like to encourage others to give more prominence to embedding and detection complexity as an important parameter in the design of watermarking schemes

High capacity data embedding schemes for digital media

High capacity image data hiding methods and robust high capacity digital audio watermarking algorithms are studied in this thesis. The main results of this work are the development of novel algorithms with state-of-the-art performance, high capacity and transparency for image data hiding and robustness, high capacity and low distortion for audio watermarking.En esta tesis se estudian y proponen diversos métodos de data hiding de imágenes y watermarking de audio de alta capacidad. Los principales resultados de este trabajo consisten en la publicación de varios algoritmos novedosos con rendimiento a la altura de los mejores métodos del estado del arte, alta capacidad y transparencia, en el caso de data hiding de imágenes, y robustez, alta capacidad y baja distorsión para el watermarking de audio.En aquesta tesi s'estudien i es proposen diversos mètodes de data hiding d'imatges i watermarking d'àudio d'alta capacitat. Els resultats principals d'aquest treball consisteixen en la publicació de diversos algorismes nous amb rendiment a l'alçada dels millors mètodes de l'estat de l'art, alta capacitat i transparència, en el cas de data hiding d'imatges, i robustesa, alta capacitat i baixa distorsió per al watermarking d'àudio.Societat de la informació i el coneixemen