1,738 research outputs found
Filologia e responsabilità: l'ecdotica di Alberto Varvaro
No full textLettura della produzione filologica di Alberto Varvaro e del suo ruolo nel dibattito metodologico relativo alla critica testuale, sul piano nazionale e internazionale
Commiato da Alberto Varvaro
No full textAlberto Varvaro, fondatore di "Medioevo Romanzo", è scomparso il 22 ottobre 2014: breve ricordo da parte del direttore della rivista
Performance evaluation of the current Wavelet Video Coding Reference Software
No full textThe 2D+t+2D architecture is based upon STool interband prediction scheme: see [1] N. Adami, M. Brescianini, R. Leonardi and A. Signoroni, "SVC CE1: STool - a native spatially scalable approach to SVC", ISO/IEC JTC1/SC29/WG11, M11368, 70th MPEG Meeting, Palma de Mallorca, Spain, Oct. 2004; [2] N. Adami, M. Brescianini, M. Dalai, R. Leonardi and A. Signoroni, “A fully scalable video coder with inter-scale wavelet prediction and morphological coding”, in Proc. of VCIP 2005, SPIE vol. 5960 (nr.58), Beijing, China, July 2005; [3] N. Adami, M. Brescianini, R. Leonardi and A. Signoroni, "New prediction schemes for scalable wavelet video coding", ISO/IEC JTC1/SC29/WG11, M12642, 74th MPEG Meeting, Nice, France, Oct. 2005
HERStory Makers 2022: Letizia Leonardi
No full textLetizia Leonardi is a PhD candidate at the University of Aberdeen conducting translation studies. She took part in HERStory Makers 2022.What is HERStory Makers?HERStory Makers is a social media competition for female-identifying early career researchers to share their research, their career journeys, and to inspire the next generation. Winners are selected by public vote. HERStory Makers is also part of EXPLORATHON, Scotland's contribution to European Researchers' Night.In 2022-23, EXPLORATHON was supported by the Engineering & Physical Sciences Research Council [grant number EP/X020894/1].Author contributions to contentLetizia Leonardi conceived, planned, and recorded the video content. Kirsty Ross edited the video content to insert HERStory Maker credits, add subtitles, and maintain video length below Twitter/X limit of 2 mins and 20 secs, prior to scheduling the social media posts.</p
Ashish Kothari, Ariel Salleh, Arturo Escobar, Federico Demaria, Alberto Acosta, eds, Pluriverso: Dizionario del Post-Sviluppo, edizione italiana a cura di Maura Benegiamo, Alice Dal Gobbo, Emanuele Leonardi, Salvo Torre, Pisa, Orthotes, 2021, pp. 491
No full textBook review of Ashish Kothari, Ariel Salleh, Arturo Escobar, Federico Demaria, Alberto Acosta, eds, Pluriverso: Dizionario del Post-Sviluppo, Italian edition edited by Maura Benegiamo, Alice Dal Gobbo, Emanuele Leonardi, Salvo Torre, Pisa, Orthotes, 2021, pp. 491.Recensione di Ashish Kothari, Ariel Salleh, Arturo Escobar, Federico Demaria, Alberto Acosta, eds, Pluriverso: Dizionario del Post-Sviluppo, edizione italiana a cura di Maura Benegiamo, Alice Dal Gobbo, Emanuele Leonardi, Salvo Torre, Pisa, Orthotes, 2021, pp. 491
Cyclostationary error analysis and filter properties in a 3D wavelet coding framework
No full textThe reconstruction error due to quantization of wavelet subbands can be modeled as a cyclostationary process because of the linear periodically shift variant property of the inverse wavelet transform. For N-dimensional data, N-dimensional reconstruction error power cyclostationary patterns replicate on the data sample lattice. For audio and image coding applications this fact is of little practical interest since the decoded data is perceived in its wholeness, the error power oscillations on single data elements cannot be seen or heard and a global PSNR error measure is often used to represent the reconstruction quality. A different situation is the one of 3D data (static volumes or video sequences) coding, where decoded data are usually visualized by plane sections and the reconstruction error power is commonly measured by a PSNR[n] sequence, with n representing either a spatial slicing plane (for volumetric data) or the temporal reference frame (for video). In this case, the cyclostationary oscillations on single data elements lead to a global PSNR[n] oscillation and this effect may become a relevant concern. In this paper we study and describe the above phenomena and evaluate their relevance in concrete coding applications. Our analysis is entirely carried out in the original signal domain and can easily be extended to more than three dimensions. We associate the oscillation pattern with the wavelet filter properties in a polyphase framework and we show that a substantial reduction of the oscillation amplitudes can be achieved under a proper selection of the basis functions. Our quantitative model is initially made under high-resolution conditions and then qualitatively extended to all coding rates for the wide family of bit-plane quantization-based coding techniques. Finally, we experimentally validate the proposed models and we perform a subjective evaluation of the visual relevance of the PSNR[n] fluctuations in the cases of medical volumes and video coding
Progressive Medical Image Compression Using a Diagnostic Quality Measure on Regions-of-Interest
No full textPublication in the conference proceedings of EUSIPCO, Rhodes, Greece, 199
Volume Simplification and Segmentation by 3D Connected Operators
No full textPublication in the conference proceedings of EUSIPCO, Toulouse, France, 200
Progressive ROI coding and diagnostic quality for medical image compression
No full textThis work addresses the delicate problem of lossy compression of medical images. More specifically, a selective allocation of coding resources is introduced based on the concept of 'diagnostic interest' and an interactive methodology based on a new measure of 'diagnostic quality'. The selective allocation of resources is made possible by a selection a priori of regions of specific interest for diagnostic purpose. The idea is to change the precision of representation in a transformed domain of region of particular interest, through a weighting procedure by an on- line user-defined quantization matrix. The overall compression method is multi-resolution, provides for an embedded generation of the bit-stream and guarantees for a good rate distortion trade-off, at various bit-rates, with spatially varying reconstruction quality. This work also analyzes the delicate issue of a professional usage of lossy compression in a PACS environment. The proposed compression methodology gives interesting insights in favor of using lossy compression in a controlled fashion by the expert radiologist. Most of the ideas presented in this work have been confirmed by extensive experimental simulations involving medical expertise
Two-Way Interactive Refinement of Segmented Medical Volumes
No full textFor complex medical image segmentation tasks which also require high accuracy, prior information must usually be generated in order to initialize and confine the action of the computational tools. This can be obtained by task oriented specialization layers operating within automatic segmentation techniques or by advanced exploitation of user- data interaction, in this case the segmentation technique can conserve generality and results can be inherently validated by the user itself, in the measure he is allowed to effectively steer the process towards the desired result. In this paper we present a highly accurate and still general morphological 3D segmentation system where rapid convergence to the desired result is guaranteed by a two-way interactive segmentation-refinement loop, where the flow of prior information is inverted (from computing tools to the user) in the refinement phase in order to help the user to quickly select most effective refinement strategies
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