Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-efficient transmission of wavelet-based images in wireless sensor networks
Journal on Image and Video Processing
Distributed video coding in wireless multimedia sensor network for multimedia broadcasting
WSEAS TRANSACTIONS on COMMUNICATIONS
Energy-efficient image compression for resource-constrained platforms
IEEE Transactions on Image Processing
Low power hardware-based image compression solution for wireless camera sensor networks
Computer Standards & Interfaces
The AVQ Algorithm: Watermarking and Compression Performances
INCOS '11 Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems
Noiseless coding of correlated information sources
IEEE Transactions on Information Theory
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
The JPEG still picture compression standard
IEEE Transactions on Consumer Electronics
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
Editorial: Advanced technologies for homeland defense and security
Journal of Network and Computer Applications
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Wireless Sensor Networks (WSNs) are becoming more imperative in monitoring and surveillance applications, such as border surveillance. For these applications, cameras attached on several sensor nodes are placed on preselected locations in the border region. In case of an intrusion event, these cameras capture images and transmit them to the sink node via other sensor nodes. WSNs operate with limited resources. Therefore, resource utilization is needed when processing and transporting images. In this study, we propose a cost-effective method for dynamic (on-the-fly) prioritization of image macro-blocks. Therefore, we employ a simple encoding scheme at the source node by labeling data blocks as ''important'' and ''not-important'' based on the information they contain. The network then transmits ''important'' data blocks from reliable paths. We established an experimental setup to assess the success of the proposed method using various prioritization measures for labeling and we compared the results with JPEG encoding. The results indicate the usefulness of the proposed prioritization based encoding scheme in terms of transferred image quality, delay and energy.