Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1501
Title: Volumetric videos
Authors: Jha, Aadit Kant
Sikdar, Sohum
Sharma, Ojaswa (Advisor)
Keywords: Volumetric Videos
CWIPC-SXR: Point Cloud dynamic human dataset for Social XR
Issue Date: 1-Dec-2023
Publisher: IIIT-Delhi
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.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1501
Appears in Collections:Year-2023

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