This poster presents a practical system for enhancing the quality of Low Dynamic Range (LDR) videos using High Dynamic Range (HDR) background images. Our technique relies on the assumption that the HDR information is static in the video footage. This assumption can be valid in many scenarios where moving subjects are the main focus of the footage and do not have to interact with moving light sources or highly reflective objects. Another valid scenario is teleconferencing via webcams, where the background is typically over-exposed, not allowing the users to perceive correctly the environment where the communication is happening.

High dynamic range images for enhancing low dynamic range content

Banterle Francesco;Dellepiane Matteo;Scopigno Roberto
2011

Abstract

This poster presents a practical system for enhancing the quality of Low Dynamic Range (LDR) videos using High Dynamic Range (HDR) background images. Our technique relies on the assumption that the HDR information is static in the video footage. This assumption can be valid in many scenarios where moving subjects are the main focus of the footage and do not have to interact with moving light sources or highly reflective objects. Another valid scenario is teleconferencing via webcams, where the background is typically over-exposed, not allowing the users to perceive correctly the environment where the communication is happening.
2011
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
The 4th ACM Siggraph Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, ACM SIGGRAPH ASIA
1
978-1-4503-1137-3
http://dl.acm.org/citation.cfm?id=2073304.2073351&coll=DL&dl=ACM&CFID=65425214&CFTOKEN=89070941
Sì, ma tipo non specificato
12-15 Dicembre 2011
Hong Kong, PCR
High Dynamic Range Imaging
Area di valutazione 01 - Scienze matematiche e informatiche
restricted
info:eu-repo/semantics/conferenceObject
Banterle, Francesco; Dellepiane, Matteo; Scopigno, Roberto
275
04 Contributo in convegno::04.03 Poster in Atti di convegno
3
   Tools and Expertise for 3D Collection Formation
   3D-COFORM
   FP7
   231809
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/180943
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