BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Puerto_Rico BEGIN:STANDARD DTSTART:19450930T010000 TZOFFSETFROM:-0300 TZOFFSETTO:-0400 TZNAME:AST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240723T030856Z UID:C0DC0DBB-EA9C-4543-9A15-D1FDE387870D DTSTART;TZID=America/Puerto_Rico:20240719T090000 DTEND;TZID=America/Puerto_Rico:20240719T115900 DESCRIPTION:3D Multimedia Analytics\, Search and Generation\n\nIn Conjuncti on with ICME 2024\n15-19 July\, Niagra Falls\, Canada\n\nToday\, ubiquitou s multimedia sensors and large-scale computing infrastructures are produci ng at a rapid velocity of 3D multi-modality data\, such as 3D point cloud acquired with LIDAR sensors\, RGB-D videos recorded by Kinect cameras\, me shes of varying topology\, and volumetric data. 3D multimedia combines dif ferent content forms such as text\, audio\, images\, and video with 3D inf ormation\, which can perceive the world better since the real world is 3-d imensional instead of 2-dimensional. For example\, the robots can manipula te objects successfully by recognizing the object via RGB frames and perce iving the object size via point cloud. Researchers have strived to push th e limits of 3D multimedia search and generation in various applications\, such as autonomous driving\, robotic visual navigation\, smart industrial manufacturing\, logistics distribution\, and logistics picking. The 3D mul timedia (e.g.\, the videos and point cloud) can also help the agents to gr asp\, move and place the packages automatically in logistics picking syste ms. Therefore\, 3D multimedia analytics is one of the fundamental problems in multimedia understanding. Different from 3D vision\, 3D multimedia ana lytics mainly concentrate on fusing the 3D content with other media. It is a very challenging problem that involves multiple tasks such as human 3D mesh recovery and analysis\, 3D shapes and scenes generation from real-wor ld data\, 3D virtual talking head\, 3D multimedia classification and retri eval\, 3D semantic segmentation\, 3D object detection and tracking\, 3D mu ltimedia scene understanding\, and so on. Therefore\, the purpose of this workshop is to: 1) bring together the state-of-the-art research on 3D mult imedia analysis\; 2) call for a coordinated effort to understand the oppor tunities and challenges emerging in 3D multimedia analysis\; 3) identify k ey tasks and evaluate the state-of-the-art methods\; 4) showcase innovativ e methodologies and ideas\; 5) introduce interesting real-world 3D multime dia analysis systems or applications\; and 6) propose new real-world or si mulated datasets and discuss future directions. We solicit original contri butions in all fields of 3D multimedia analysis that explore the multi-mod ality data to generate the strong 3D data representation. We believe this workshop will offer a timely collection of research updates to benefit res earchers and practitioners in the broad multimedia communities.\n\nPlease note: You'll need to register for the ICME2024 conference in order to atte nd this event\n\nAgenda: \nDetailed agenda will be updated soon\n\nBldg: N iagara Falls Marriott Convention & Exhibition Centre \, 6755 Fallsview Blv d \, Niagara Falls\, Ontario\, Canada LOCATION:Bldg: Niagara Falls Marriott Convention & Exhibition Centre \, 675 5 Fallsview Blvd \, Niagara Falls\, Ontario\, Canada ORGANIZER:peng.dai.ca@ieee.org SEQUENCE:16 SUMMARY:The 3rd Intemational Workshop on 3D Multimedia Analytics\, Search a nd Generation (https://3dmm-icme2024.github.io/) URL;VALUE=URI:https://events.vtools.ieee.org/m/425178 X-ALT-DESC:Description: <br /><p style="text-align: center\;">3D Multimedia Analytics\, Search and Generation</p>\n<p style="text-align: center\;">In Conjunction with ICME 2024<br>15-19 July\, Niagra Falls\, Canada</p>\n<p> Today\, ubiquitous multimedia sensors and large-scale computing infrastruc tures are producing at a rapid velocity of 3D multi-modality data\, such a s 3D point cloud acquired with LIDAR sensors\, RGB-D videos recorded by Ki nect cameras\, meshes of varying topology\, and volumetric data. 3D multim edia combines different content forms such as text\, audio\, images\, and video with 3D information\, which can perceive the world better since the real world is 3-dimensional instead of 2-dimensional. For example\, the ro bots can manipulate objects successfully by recognizing the object via RGB frames and perceiving the object size via point cloud. Researchers have s trived to push the limits of 3D multimedia search and generation in variou s applications\, such as autonomous driving\, robotic visual navigation\, smart industrial manufacturing\, logistics distribution\, and logistics pi cking. The 3D multimedia (e.g.\, the videos and point cloud) can also help the agents to grasp\, move and place the packages automatically in logist ics picking systems. Therefore\, 3D multimedia analytics is one of the fun damental problems in multimedia understanding. Different from 3D vision\, 3D multimedia analytics mainly concentrate on fusing the 3D content with o ther media. It is a very challenging problem that involves multiple tasks such as human 3D mesh recovery and analysis\, 3D shapes and scenes generat ion from real-world data\, 3D virtual talking head\, 3D multimedia classif ication and retrieval\, 3D semantic segmentation\, 3D object detection and tracking\, 3D multimedia scene understanding\, and so on. Therefore\, the purpose of this workshop is to: 1) bring together the state-of-the-art re search on 3D multimedia analysis\; 2) call for a coordinated effort to und erstand the opportunities and challenges emerging in 3D multimedia analysi s\; 3) identify key tasks and evaluate the state-of-the-art methods\; 4) s howcase innovative methodologies and ideas\; 5) introduce interesting real -world 3D multimedia analysis systems or applications\; and 6) propose new real-world or simulated datasets and discuss future directions. We solici t original contributions in all fields of 3D multimedia analysis that expl ore the multi-modality data to generate the strong 3D data representation. We believe this workshop will offer a timely collection of research updat es to benefit researchers and practitioners in the broad multimedia commun ities.</p>\n<p>Please note: You'll need to <strong>register </strong>for t he <strong>ICME2024</strong> conference in order to attend this event</p>< br /><br />Agenda: <br /><p>Detailed agenda will be updated soon</p> END:VEVENT END:VCALENDAR