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dc.contributor.author Jha, Aadit Kant
dc.contributor.author Sikdar, Sohum
dc.contributor.author Sharma, Ojaswa (Advisor)
dc.date.accessioned 2024-05-16T13:16:33Z
dc.date.available 2024-05-16T13:16:33Z
dc.date.issued 2023-12-01
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1501
dc.description.abstract Volumetric 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.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Volumetric Videos en_US
dc.subject CWIPC-SXR: Point Cloud dynamic human dataset for Social XR en_US
dc.title Volumetric videos en_US
dc.type Other en_US


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