Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Maurizio, Lucenteforte"'
Autor:
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino
The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::813c8703af76f0f412baa37911d20c45
https://zenodo.org/record/6976823
https://zenodo.org/record/6976823
Autor:
Federico Torrielli, Liliana Ardissono, Marino Segnan, Claudio Mattutino, Gianmarco Izzi, Noemi Mauro, Maurizio Lucenteforte
Publikováno v:
Human Interface and the Management of Information. Information Presentation and Visualization ISBN: 9783030783204
HCI (4)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Human Interface and the Management of Information. Information Presentation and Visualization
HCI (4)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Human Interface and the Management of Information. Information Presentation and Visualization
Web GIS offer precious data to explore geographic areas but they might overload the user with large amounts of information if (s)he is unable to specify efficient search queries. Services such as OpenStreetMap and Google Maps support focused informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b3f56f8db9a71a9cb62b0de86e130e
https://doi.org/10.1007/978-3-030-78321-1_16
https://doi.org/10.1007/978-3-030-78321-1_16
This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74cb3c1eb105a46154217eacdd679e65
http://arxiv.org/abs/2005.03531
http://arxiv.org/abs/2005.03531
Autor:
Maurizio Lucenteforte, Noemi Mauro, Daniele Scanu, Liliana Ardissono, Matteo Delsanto, Adriano Savoca
Publikováno v:
AVI
In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b0b42d0fd0bf6d4c46dd7a87efa3d39
Publikováno v:
Multimedia Tools and Applications. 77:20839-20862
This paper presents a novel distributed object segmentation framework that allows one to extract potentially large coherent objects from digital images. The proposed approach requires minimum user supervision and permits to segment the objects accura
Multiview video plus depth (MVD) is the most popular 3D video format due to its efficient compression and provision for novel view generation enabling the free-viewpoint applications. In addition to color images, MVD format provides depth maps which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e7b6a24cd4b18ba9d019b0c16fe1e8
http://hdl.handle.net/2318/1707598
http://hdl.handle.net/2318/1707598
Autor:
Maurizio Lucenteforte, Matteo Delsanto, Noemi Mauro, Daniele Scanu, Adriano Savoca, Liliana Ardissono
Publikováno v:
AVI
The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information
Three Dimensional (3D) image quality assessment is a challenging problem as compared to 2D images due to their different nature of acquisition, representation, coding, and display. The additional dimension of depth in multiview video plus depth (MVD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47902a1debb4ccca033e7959fb16a3f8
http://hdl.handle.net/2318/1658608
http://hdl.handle.net/2318/1658608
Publikováno v:
Signal Processing. 117:258-269
The watermarking of digital images has an important role in the protection of digital content with respect to many aspects. In this paper we present a reversible watermarking algorithm for hiding information into medical images having luminance histo