Alberto Signoroni

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—Scalable video coding (SVC) differs form traditional single point approaches mainly because it allows to encode in a unique bit-stream several working points corresponding to different quality, picture size and frame rate. This work describes the current state-of-the-art in SVC, focusing on wavelet based motion-compensated approaches (WSVC). It reviews(More)
In this paper a new fully scalable-wavelet based-video coding architecture is proposed, where motion compensated temporal filtered subbands of spatially scaled versions of a video sequence can be used as base layer for inter-scale predictions. These predictions take place between data at the same resolution level without the need of interpolation. The(More)
(a) SFM (b) E agg Figure 1: View importance as energy heatmap (the more red, the more salient and hence important) as example on Fraumunster SfM cloud. (a) Best1 (b) Best2 (c) Best3 (d) Worst1 (e) Worst2 (f) Worst3 Figure 2: Best and worst views on Notre Dame dataset. Take home message: Reduction and selection of views through structure analysis of 3D point(More)
Modern medical imaging modalities produce increasingly large datasets. This trend can be in contrast with the computation and transmission time requirements coming from critical teleradiology applications. Multidimensional image compression techniques can be considered as enabling solutions on condition that they are able to guarantee a suitable combination(More)
In this work we introduce a new selective coding approach suitable for co-registered multi-modal medical images and we apply it to large PET-CT volumes. Salience information guiding a space variant reconstruction quality of the anatomical volume (CT) is generated through an automatic analysis of the functional volume (PET). This allows a versatile multiple(More)