Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/21227
Title: Analytics-modulated coding of surveillance video
Contributor(s): Cheok, Lai-Tee  (author)orcid ; Gagvani, Nikhil (author)
Publication Date: 2016
Handle Link: https://hdl.handle.net/1959.11/21227
Abstract: A method and apparatus for encoding surveillance video where one or more regions of interest are identified and the encoding parameter values associated with those regions are specified in accordance with intermediate outputs of a video analytics process. Such an analytics-modulated video compression approach allows the coding process to adapt dynamically based on the content of the surveillance images. In this manner, the fidelity of the region of interest is increased relative to that of a background region such that the coding efficiency is improved, including instances when no target objects appear in the scene. Better compression results can be achieved by assigning different coding priority levels to different types of detected objects.
Publication Type: Patent
Place of Publication: United States of America
Fields of Research (FoR) 2008: 080401 Coding and Information Theory
Fields of Research (FoR) 2020: 461301 Coding, information theory and compression
Socio-Economic Objective (SEO) 2008: 970110 Expanding Knowledge in Technology
970108 Expanding Knowledge in the Information and Computing Sciences
Socio-Economic Objective (SEO) 2020: 280115 Expanding knowledge in the information and computing sciences
HERDC Category Description: I1 Patent
Publisher/associated links: https://www.google.com/patents/US20160337647
Patent/Application Number: US 2012/0128334 A1
Provisional Number : 61/115,427
Appears in Collections:Patent

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