Davide Maestroni

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In this paper we discuss an algorithm that is able to provide a scalable (multiresolution) representation of the motion field information. It has been recently demonstrated that, for an open loop wavelet video coder, it is possible to use at the decoder side a scaled version of the original motion information and the residual coefficients computed with the(More)
In this paper we propose a fast motion estimation technique that works in the wavelet domain. The computational cost of the algorithm turns out to be proportional to the linear size of the search window instead of its area. We complete our proposal with a variable-size block-matching scheme in the wavelet domain. We integrated the motion estimation(More)
We describe a fully scalable wavelet-based 2D+t (in-band) video coding architecture. We propose new coding tools specifically designed for this framework aimed at two goals: reduce the computational complexity at the encoder without sacrificing compression; improve the coding efficiency, especially at low bitrates. To this end, we focus our attention(More)
In this paper we present an adaptive version of the update step in the lifting implementation of MCTF (Motion Compensated Temporal Filtering). We explicitly take into account the local image content in order to avoid ghosting artifacts in the updated low-pass frame, tuning the update weighting factor where such artifacts are more likely to be perceived. The(More)
In this paper we discuss the how to best handle motion vectors in spatially scalable wavelet-based video decoders. Motion vectors with full resolution are normally included in the bit-steams relative to spatially scaled version of a video sequence. When a low-resolution version of the original sequence is received, the decoder must scale the motion vectors(More)
In this paper we describe how to properly handle motion vectors in spatially scalable wavelet based video coders. When a lower resolution version of the original sequence is received, the decoder has to scale the motion vectors accordingly. We demonstrate that motion vector truncation is not the right choice and that better results can be obtained by(More)
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