Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1501
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJha, Aadit Kant-
dc.contributor.authorSikdar, Sohum-
dc.contributor.authorSharma, Ojaswa (Advisor)-
dc.date.accessioned2024-05-16T13:16:33Z-
dc.date.available2024-05-16T13:16:33Z-
dc.date.issued2023-12-01-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1501-
dc.description.abstractVolumetric videos are videos of 3D space captured at every timestamp. The bulky nature and complexity of these videos make storage and transfer a tedious task making it difficult to work within a real-time application. We propose a method to efficiently store and transfer volumetric videos by splitting them into multiple conventional videos. These traditional videos can then be stored, transferred, and reconstructed back into volumetric videos at requirement.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectVolumetric Videosen_US
dc.subjectCWIPC-SXR: Point Cloud dynamic human dataset for Social XRen_US
dc.titleVolumetric videosen_US
dc.typeOtheren_US
Appears in Collections:Year-2023

Files in This Item:
File Description SizeFormat 
Volumetric_Videos_Report - Aadit Kant Jha.pdf
  Restricted Access
2.6 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.