Paper Info
Title
Temporally coherent luminance-to-luma mapping for high dynamic range video coding with H.264/AVC
Abstract
This paper presents a technique for the efficient compression of high dynamic range video (HDR) sequences. Such video sequences usually represent several orders of magnitude of real-world luminance intensity levels. Therefore, they are mostly stored in a floating-point represention. In order to obtain a coded representation that is bit stream compatible with the H.264/AVC video coding standard, the float-valued HDR values have to be mapped to a suitable integer representation first. The mapping proposed in this paper is adapted to the dynamic range of each video frame. Furthermore, to compensate for the associated dynamic contrast variation across frames, a weighted prediction method and quantization adaptation are introduced. The experiments show that the proposed method offers highly efficient HDR video compression. Only a fraction of the bit rate of a non-adaptive reference method is required to represent an HDR video sequence at the same quality.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5946532
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
high definition video,image representation,image sequences,quantisation (signal),video coding,video streaming,H.264/AVC standard,HDR sequences,HDR video compression,bit stream,dynamic contrast variation,float-valued HDR values,floating-point represention,high dynamic range video coding,integer representation,nonadaptive reference method,quantization adaptation,real-world luminance intensity level,temporally coherent luminance-to-luma mapping,video frame,weighted prediction method,LogLuv,high dynamic range,video coding
Reference frame,Computer vision,Block-matching algorithm,Computer science,Motion compensation,Multiview Video Coding,Artificial intelligence,Data compression,Video compression picture types,Scalable Video Coding,Context-adaptive binary arithmetic coding
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
10
PageRank 
References 
Authors
0.84
4
2
Name
Order
Citations
PageRank
Jens-Uwe Garbas1172.75
Herbert Thoma2343.64