Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Processor design for portable systems
Journal of VLSI Signal Processing Systems - Special issue on technologies for wireless computing
Panoptes: scalable low-power video sensor networking technologies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
GRACE-1: Cross-Layer Adaptation for Multimedia Quality and Battery Energy
IEEE Transactions on Mobile Computing
TinySeRSync: secure and resilient time synchronization in wireless sensor networks
Proceedings of the 13th ACM conference on Computer and communications security
Collaborative image coding and transmission over wireless sensor networks
EURASIP Journal on Applied Signal Processing
Efficient on-demand image transmission in visual sensor networks
EURASIP Journal on Applied Signal Processing
Evaluating a feedback channel based transform domain Wyner-Ziv video codec
Image Communication
Iterative multiview side information for enhanced reconstruction in distributed video coding
Journal on Image and Video Processing - Special issue on distributed video coding
Robust distributed multiview video compression for wireless camera networks
IEEE Transactions on Image Processing
Distributed video coding: trends and perspectives
Journal on Image and Video Processing - Special issue on distributed video coding
Structural digital signature for image authentication: an incidental distortion resistant scheme
IEEE Transactions on Multimedia
Rate-distortion-complexity modeling for network and receiver aware adaptation
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Power-rate-distortion analysis for wireless video communication under energy constraints
IEEE Transactions on Circuits and Systems for Video Technology
Complexity scalable motion compensated wavelet video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Resource allocation and performance analysis of wireless video sensors
IEEE Transactions on Circuits and Systems for Video Technology
Inter-View Direct Mode for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Coding Algorithms for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Improvements on Fast Motion Estimation Strategy for H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Wyner–Ziv-Based Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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Wireless multimedia sensor networks (WMSNs) have been potentially applicable for several emerging applications. The resources, i.e., power and bandwidth available to visual sensors in a WMSN are, however, very limited. Hence, it is important but challenging to achieve efficient resource allocation and optimal video data compression while maximizing the overall network lifetime. In this paper, a power-rate-distortion (PRD) optimized resource-scalable low-complexity multiview video encoding scheme is proposed. In our video encoder, both the temporal and interview information can be exploited based on the comparisons of extracted media hashes without performing motion and disparity estimations, which are known to be time-consuming. We present a PRD model to characterize the relationship between the available resources and the RD performance of our encoder. 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. The major goal here is to design a PRD model to optimize a ''motion estimation-free'' low-complexity video encoder for applications with resource-limited devices, instead of designing a general-purpose video codec to compete compression performance against current compression standards (e.g., H.264/AVC). Analytic results verify the accuracy of our PRD model, which can provide a theoretical guideline for performance optimization under limited resource constraints. Simulation results on joint RD performance and power consumption (measured in terms of encoding time) demonstrate the applicability of our video coding scheme for WMSNs.