Erika Müller

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Distributed Video Coding (DVC) is a recent paradigm that offers emerging capabilities in contradiction to the established conventional video coding techniques. Based on the Slepian-Wolf (SW) and Wyner-Ziv (WZ) theorems, a DVC system has an outstanding low encoding complexity, by shifting the computational complex process of correlation exploration to the(More)
In this paper, we present a new video watermarking approach which is robust to efficient video coding standards such as H.264/AVC. We show the contradiction between embedding watermarks in the irrelevant part of a video and using a lossy compression algorithm to reduce the video data rate. Because the compression algorithm removes irrelevant information,(More)
Hard decisions constitute the major problem in digital wa-termarking applications, especially when content adaptive embedding methods are used. Soft-decision decoding, on the other hand, has proved to be performance gaining, often realized during forward error correction. But despite this insight, no adaptive watermarking approach integrates the adaptation(More)
The ongoing research on Distributed Video Coding (DVC) is fo-cused on flexibility and increased rate distortion (RD) performance. Besides Slepian-Wolf (SW) coding and coder control, a good side information (SI) quality is essential for high RD performance. The SI is typically extracted by temporal inter-/extrapolation. Fast motion is still a challenge. Two(More)
Our paper proposes an enhanced video watermarking approach. The fundamental idea is to use geometric warping for watermarks with high predictable robustness to lossy compression. We explain the basic watermarking approach which uses a block based statistic (Normed Centre of Gravity-NCG) to describe the geometric structure of blocks. The NCG also is used to(More)