Side information estimating method oriented to distributed coding and decoding of multimedia sensor network
A side information, sensor network technology, used in image communication, digital video signal modification, television, etc.
Inactive Publication Date: 2012-07-11
NANJING UNIV OF POSTS & TELECOMM
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[0004] Technical problem: the purpose of this invention is to propose a side information estimation method based on DCT hash (discrete cosine transform low-frequency coefficients) in distributed video coding suitable for multimedia sensor networks , to solve the problem of large amount of data in video applications
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[0047] This method is based on the Wyner-Ziv distributed video coding scheme, and divides the video sequence into two different frames: key frame (Key Frame, K frame) and Wyner-Ziv frame (WZ frame). The traditional JPEG coding method is used for the key frame, and the Wyner-Ziv frame is divided into ROI area and non-ROI area by using the ROI distinction method. For the DCT low-frequency coefficients in the ROI area of the Wyner-Ziv frame, the Huffman codec is used. The ROI area The rest and the non-ROI area adopt the LPDC codec method. The implementation of this method is divided into 4 stages: i) at the encoding end; ii) at the decoding end; iii) frame mixing, which is described in detail as follows:
[0048] Phase 1: On the Encoding Side
[0049] This stage is divided into the following processing steps:
[0050] a) Frame separator: The video sequence is divided into Wyner-Ziv frames (WZ frames) and key frames (Key frames), where key frames are inserted periodically...
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The invention provides a side information estimating method based on a discrete cosine transform (DCT) low-frequency coefficient in distributed coding and decoding of a multimedia sensor network, which is used for solving the problem of large data volume in video application. In the method, a DCT low-frequency coefficient in an ROI (Region of Interest) macroblock of a non-key frame is extracted for performing entropy coding and decoding, bidirectional motion estimation interpolation is performed on an ROI macroblock decoding end by using the received DCT low-frequency coefficient to generate ROI macroblock side information, and motion compensation frame interpolation (or extrapolation) is performed on a non-ROI region by using a decoded frame to generate non-ROI macroblock side information and further generate optimal non-key frame side information. Through the improvements, the code rate can be lowered, the quality of a decoded image is enhanced, the energy consumption of a sensor node is lowered, and the life cycle of a wireless sensor network is prolonged. Due to the adoption of the method provided by the invention, optimal side information can be obtained while the code rate is lowered, the quality of a decoded image is enhanced, the energy consumption of a sensor node is lowered, and the life cycle of a wireless sensor network is prolonged.
Description
technical field [0001] The invention is a technical solution for multimedia data compression in wireless multimedia sensor networks (Wireless Multimedia Sensor Networks, WMSN). A side information estimation method based on discrete cosine transform low-frequency coefficients is adopted to reduce energy consumption of nodes as much as possible while improving the quality of decoded images, and belongs to the technical field of computer wireless communication. Background technique [0002] In recent years, with the rapid development of wireless multimedia communication technology, some new video application requirements have begun to appear, such as: wireless PC cameras, mobile video phones, wireless video surveillance, wireless multimedia sensor networks, etc. In these new video applications, due to the limitations of power supply, storage capacity, computing power, and communication capabilities, wireless video terminals not only require low-complexity encoding, but also req...
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IPC IPC(8): H04N7/26H04N7/30H04N19/176H04N19/177H04N19/625H04N19/91
CPCY02B60/50
Inventor 肖甫刘金凯孙力娟王汝传郭剑沙超黄海平蒋凌云
Owner NANJING UNIV OF POSTS & TELECOMM