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Compressive perceptual coding and decoding method and system in video sensor network

A video sensor and compressed sensing technology, applied in the field of compressed sensing codec, can solve problems such as network resource consumption, and achieve high robustness, good application value, and easy implementation

Inactive Publication Date: 2012-08-08
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

The information collected by the video sensor network, whether it is a static image or a dynamic video stream, has great redundancy and time-space correlation. The transmission of a large amount of redundant data in the network will inevitably cause serious consumption of network resources.

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  • Compressive perceptual coding and decoding method and system in video sensor network
  • Compressive perceptual coding and decoding method and system in video sensor network
  • Compressive perceptual coding and decoding method and system in video sensor network

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Embodiment Construction

[0036] The technical solution of the present invention will be described in more detail below with reference to the drawings and embodiments.

[0037] Compressive Sensing (CS) technology can accurately reconstruct the measured signal with fewer measurement signals (but the signal must be sparse or in a sparse form in a transform domain). In the field of video sensor networks, the application of compressed sensing technology is still relatively small. At present, it mainly focuses on using compressed sensing technology to separately compress and measure the data of a single video sensor node, and then reconstruct the data at the decoding end. However, this method does not consider the temporal and spatial correlations between the information collected by the nodes.

[0038] A key point for processing using compressed sensing technology is that the signal must be sparse or in a sparse form in a certain transform domain, so how to perform sparse processing becomes one of the impo...

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Abstract

The invention discloses a compressive perceptual coding and decoding method and a system in a video sensor network, which can achieve high compression ratio and have a good reconstruction effect simultaneously. The method comprises the steps of performing a self-adaptation grouping for original video frames, performing compression perceptual coding measuring for the video frames acquired through the grouping, obtaining an observation vector matrix of each of video frame groups, and performing compressive perceptual decoding reconstruction for the observation vector matrix. Combining a compressive perceptual technique, the method and the system perform measuring, so that reconstruction performance is improved greatly.

Description

technical field [0001] The invention relates to a method and system for performing compressed sensing encoding and decoding on video frames in a video sensor network, and belongs to the technical field of information processing in the video sensor network. Background technique [0002] Video sensor network (Video Sensor Network) is a distributed sensing network composed of a group of video sensor nodes with computing, storage and communication capabilities. The information collected by the video sensor network, whether it is a static image or a dynamic video stream, has great redundancy and time-space correlation, and the transmission of a large amount of redundant data in the network will inevitably cause serious consumption of network resources. However, the computing and processing capabilities and communication bandwidth of video sensor nodes are generally limited. Therefore, in the acquisition and transmission of video sensor network information, effective in-network in...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/114H04N19/119
Inventor 熊继平黄涛宣利峰赵健
Owner ZHEJIANG NORMAL UNIVERSITY
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