Hill climbing algorithm for the transmission of layered JPEG2000 video under multiple rate constraints

Authors:
Francesc Aulí-Llinàs;Han Oh;Ali Bilgin;Michael W. Marcellin
Affiliations:
Department of Electrical and Computer Engineering, The University of Arizona;Department of Electrical and Computer Engineering, The University of Arizona;Department of Biomedical Engineering, The University of Arizona;Department of Electrical and Computer Engineering, The University of Arizona
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 5
Cited 0

Optimal bit allocation under multiple rate constraints

DCC '96 Proceedings of the Conference on Data Compression
Distributed rate allocation policies for multihomed video streaming over heterogeneous access networks

IEEE Transactions on Multimedia
Rate-distortion optimized scheduling for redundant video representation

IEEE Transactions on Image Processing
Consistent picture quality control strategy for dependent video coding

IEEE Transactions on Image Processing
Network-adaptive low-latency video communication over best-effort networks

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Video transmission is a topic of major interest in our community. One of the most fundamental aspects behind many video transmission schemes is the bit allocation problem that occurs when variable bitrate video is transmitted under multiple rate constraints. Rate constraints are imposed by the channel capacity, buffer sizes in the server and/or client, and by the coding system. This work introduces a rate allocation method conceived from hill climbing techniques with steepest descent that requires very few computational resources. Experimental results achieved within the framework of JPEG2000 suggest that our approach commonly achieves a solution close to the global optimum.