Daniela Lanz — accepted AI-conference papers

2019

Content Adaptive Wavelet Lifting for Scalable Lossless Video Coding

Daniela Lanz, Christian Herbert, André Kaup

ICASSP 2019accepted

Scalable lossless video coding is an important aspect for many professional applications. Wavelet-based video coding decomposes an input sequence into a lowpass and a highpass subband by filtering along the temporal axis. The lowpass subband can be used for previewing purposes, while the highpass su…

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2017

Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets

Daniela Lanz, André Kaup

ICASSP 2017accepted

Medical applications like Computed Tomography (CT) or Magnetic Resonance Tomography (MRT) often require an efficient scalable representation of their huge output volumes in the further processing chain of medical routine. A downscaled version of such a signal can be obtained by using image and video…

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