Power-rate-distortion model for low-complexity video coding

Wireless visual sensor networks are potentially applicable for several emerging applications. Since the resource-limited restriction for a visual sensor node (VSN), efficient resource allocation for video compression is challenging. In this paper, a power-rate-distortion (PRD) model-based low-comple...

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Bibliographic Details
Published in:2009 Picture Coding Symposium pp. 1 - 4
Main Authors: Li-Wei Kang, Chun-Shien Lu
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2009
Subjects:
Analytical models
Bit rate
Low-complexity video coding
Performance analysis
power-ratedistortion optimization
Resource management
Scalability
Sensor phenomena and characterization
Video codecs
Video coding
Video compression
Wireless sensor networks
wireless visual sensor networks
ISBN:9781424445936, 1424445930
Online Access:Get full text
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Summary:Wireless visual sensor networks are potentially applicable for several emerging applications. Since the resource-limited restriction for a visual sensor node (VSN), efficient resource allocation for video compression is challenging. In this paper, a power-rate-distortion (PRD) model-based low-complexity multiview video codec is proposed. Our PRD model is used to characterize the relationship between the available resources and the RD performance of our video codec. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. Analytic and simulation results are provided to verify the resource scalability and accuracy of our PRD model in facilitating our low-complexity multiview video codec to achieve good performance.
ISBN:9781424445936
1424445930
DOI:10.1109/PCS.2009.5167367