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</style><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">ICIP 2023 – Point Cloud Visual Quality Assessment Grand Challenge<o:p></o:p></span></b></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"><a href="https://sites.google.com/view/icip2023-pcvqa-grand-challenge/">https://sites.google.com/view/icip2023-pcvqa-grand-challenge/</a><o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">Description: <o:p></o:p></span></b></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">Point clouds are widely used in various applications, including virtual and mixed reality, construction, and autonomous driving. In recent years, point cloud processing, particularly coding and transmission, has gained increasing attention, resulting in new standardization activities such as MPEG G-PCC and V-PCC or JPEG Pleno. Recent point cloud compression approaches use deep neural networks for efficient coding of point clouds. However, lossy compression, transmission, or processing can lead to visual distortion, which calls for effective methods to quantify the quality of processed point clouds. <o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">This challenge aims to evaluate the performance of PC quality metrics on a new dataset, which includes 75 pristine point clouds compressed with different algorithms. The goal is to benchmark the effectiveness of the proposed methods and compare them with state-of-the-art approaches.<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">Tracks:<o:p></o:p></span></b></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">The ICIP 2023 PCVQA Challenge consists of 5 tracks. The tracks correspond to different use cases in which quality metrics are typically used: <o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); text-indent: 14.2pt;"><span lang="EN-US"> </span></p><p class="MsoListParagraph" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">(1) Full-reference, broad-range quality estimation: This track aims to assess the perceptual fidelity of distorted contents with respect to the originals for any level of distortion. This is the most generic and traditional set-up for quality metrics.<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoListParagraphCxSpFirst" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">(2) No-reference, broad-range quality estimation: This track is similar to Track (1) but the proposed metrics do not have access to the original content.<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoListParagraphCxSpLast" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">(3) Full-reference, high-quality range: This track focuses on metrics for high-end quality. These are desirable in applications such as content production, high-quality streaming, digital twins, etc.<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoListParagraph" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">(4) No-reference, high-quality range: This track is similar to Track (3), but metrics can use only processed point clouds without the originals.<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoListParagraph" style="margin-left: 0cm; font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">(5) Intra-reference: The metrics should be sensible to quality differences within different processed versions of the same point cloud content. Metrics in this track are especially suitable to optimization scenarios, e.g., for point cloud compression and enhancement, and more in general as loss functions in end-to-end PC learning pipelines.<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">Each team can participate to one or more tracks. <o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">Challenge Website:<o:p></o:p></span></b></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US">Check the website for details about the tracks, the submission and evaluation criteria: <o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"><a href="https://sites.google.com/view/icip2023-pcvqa-grand-challenge/">https://sites.google.com/view/icip2023-pcvqa-grand-challenge/</a><o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">Important Dates:<o:p></o:p></span></b></p><p class="MsoListParagraphCxSpFirst" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Dataset available (in Codalab): February 18, 2023<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Deadline for model submission: March 25, 2023<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Final evaluation results: April 10, 2023<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Announcement of the results: April 17, 2023<o:p></o:p></span></p><p class="MsoListParagraphCxSpLast" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Deadline to submit a challenge paper to ICIP: April 26, 2023<o:p></o:p></span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span lang="EN-US"> </span></p><p class="MsoNormal" style="font-size: medium; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b><span lang="EN-US">Organizing Committee:<o:p></o:p></span></b></p><p class="MsoListParagraphCxSpFirst" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Aladine Chetouani, University of Orléans, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Ali Ak, University of Nantes, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="DE">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="DE">Emin Zerman, Mid Sweden University, Sweden<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Marouane Tliba, University of Orléans, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Mohamed Amine Kerkouri, University of Orléans, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Giuseppe Valenzise, University Paris-Saclay, CNRS, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Maurice Quach, University Paris-Saclay, CNRS, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpLast" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span lang="EN-US">-<span style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><!--[endif]--><span lang="EN-US">Patrick Le Callet, University of Nantes, France<o:p></o:p></span></p><p class="MsoListParagraphCxSpLast" style="text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span lang="EN-US"><br></span></p><div>
<meta charset="UTF-8"><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="text-align: start; text-indent: 0px; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="text-align: start; text-indent: 0px; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-transform: none; white-space: normal; word-spacing: 0px; text-decoration: none; -webkit-text-stroke-width: 0px;">--<br>__________________________________________<br>Giuseppe Valenzise<br>Chargé de Recherche CNRS<br>Head of the Multimedia and Networking team<br>Laboratoire des Signaux et Systèmes (L2S, UMR 8506)<br>CNRS - CentraleSupelec - Université Paris-Saclay<br>3, rue Joliot Curie<br>91192 Gif-sur-Yvette Cedex, FRANCE<br>email: giuseppe.valenzise@l2s.centralesupelec.fr<br>tel: +33 1 69 85 17 72<br>web: https://l2s.centralesupelec.fr/u/valenzise-giuseppe/</div><div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-transform: none; white-space: normal; word-spacing: 0px; text-decoration: none; -webkit-text-stroke-width: 0px;">~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</div><div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-transform: none; white-space: normal; word-spacing: 0px; text-decoration: none; -webkit-text-stroke-width: 0px;">“Immersive Video Technologies”</div><div>https://www.elsevier.com/books/immersive-video-technologies/valenzise/978-0-323-91755-1<br><br></div></div></div></div>
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