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Video SoftCast method based on residual distributed compressed sensing

A compressed sensing, distributed technology, applied in the field of video codec and wireless transmission

Active Publication Date: 2016-02-24
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Claims
  • Application Information

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Problems solved by technology

However, the transmission of wireless video multicast using compressed sensing still faces many challenges.

Method used

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  • Video SoftCast method based on residual distributed compressed sensing
  • Video SoftCast method based on residual distributed compressed sensing
  • Video SoftCast method based on residual distributed compressed sensing

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Embodiment Construction

[0118] We have done preliminary test experiments on the video soft multicast scheme based on residual distributed compressed sensing proposed by the present invention. Four standard test sequences are used: foreman sequence, container sequence, coastguard sequence, motheranddaughter sequence; the first 119 frames are taken for each test, and the resolution of the sequence is 240×352. The size of the adopted picture group GOP is 8, and the size of the image block is 8×8. Use a dell workstation for simulation. The parameters of the workstation are: Intel(R), Xeon(R) Quad-Core CPU, 2.8GHz, 4.00GB-DDR3 memory. The software platform is MatLab2010, and the wireless video broadcasting scheme is realized by programming in MatLab language.

[0119] The invention mainly divides the read-in video into blocks, performs block observation on the video image block, performs difference calculation, then packs the observed value, performs energy distribution in the package, and transmits it t...

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Abstract

The invention discloses a video SoftCast method based on residual distributed compressed sensing, and belongs to the technical fields of video encoding-decoding and wireless transmission. The method comprises the steps of encoding at a transmitting end, channel transmission and decoding at a receiving end. At the transmitting end, a video sequence is read and blocked, and video blocks are observed in order to obtain observed values of frames; in an image group, the observed values of reference frames are subtracted from the observed values of non-reference frames respectively in order to obtain residual observed values; the residual observed values and the observed values of the reference frames are averagely allocated to a plurality of data packets; and meanwhile, energy allocation is performed on the observed value in the packets, so that energy distortions are minimized. During the channel transmission, the data packets are subjected to simple constellation mapping, and input into an orthogonal frequency division multiplexing (OFDM) channel to be transmitted to a decoding end. At the decoding end, users obtain different quantities of observed values according to acceptance capabilities of the users. An initial solution is obtained according to the observed values and an observation matrix; Wiener filtering is performed; multi-direction motion estimation and motion compensation are performed with correlation among videos; an SPL algorithm is used for updating; and repeated iteration is performed till the end of decoding. The different users recover different video qualities by decoding according to actually-accepted data packets.

Description

technical field [0001] The invention belongs to the technical field of video codec and wireless transmission, and in particular relates to a video soft multicast method based on residual distributed compressed sensing. Background technique [0002] With the development of wireless networks, various broadcasting services have developed rapidly, such as mobile TV, news broadcasting, and multimedia sharing. Real-time and reliable wireless video transmission has become an inevitable demand. The purpose of wireless multicast is to transmit the same coded video stream to multiple users. However, a large number of heterogeneous users face different channel conditions and different actual acceptance capabilities. Therefore, how to realize simultaneous data transmission to multiple users in a wireless environment Users become the key to wireless multicast technology. [0003] Traditional wireless video multicast often adopts two source coding frameworks, which are layered coding and...

Claims

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Application Information

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IPC IPC(8): H04N19/625H04N19/176H04N19/114H04N19/124H04N19/36H04N19/147H04N19/51
Inventor 王安红刘珊珊王海东李素月卓东风
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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