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Layered representation-based unmanned plane video adaptive transmission method

A self-adaptive transmission and machine video technology, applied in the field of video transmission, can solve problems such as limited bandwidth, incompatibility between compression performance and computational complexity, complex applications, etc., to reduce compression time, avoid data loss and congestion, and facilitate The effect of operating the interface

Active Publication Date: 2015-02-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0040] Purpose of the invention: In order to solve the disadvantages of unmanned aerial vehicle load limitation, bandwidth limitation, complex application, traditional video processing and compression methods that cannot have both compression performance and computational complexity in the prior art, and cannot fully satisfy other The problem of demand, the present invention provides a kind of self-adaptive transmission method of unmanned aerial vehicle video based on layered expression, has solved the deficiencies in the prior art

Method used

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  • Layered representation-based unmanned plane video adaptive transmission method
  • Layered representation-based unmanned plane video adaptive transmission method
  • Layered representation-based unmanned plane video adaptive transmission method

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Embodiment 1

[0095] Such as Figure 12 As shown, in the case of long range and high flight altitude of UAV, the transmission bandwidth is narrow and the delay is large. The traditional video compression standard algorithm cannot provide video images with acceptable subjective quality. Increase the delay further. In this case, an extreme example of this scheme can be used, that is, only the background layer is coded and transmitted. This layer uses image splicing to splice all the images in an image group into a panoramic background image, and then compresses it by static image coding. The background layer can also be divided into k (k≥1) with different compression effects sublayer.

[0096] The specific implementation steps are as follows (assuming that an image group is composed of N frames):

[0097] Step 1) Reference image selection: The reference image is the first processed image in the stitching process, and the subsequent images are projected to the coordinate system of the image a...

Embodiment 2

[0106] When the flying height of the UAV is low, there are clear independent moving targets in the captured video, and only using image stitching method for compression cannot truly reflect the characteristics of independent moving targets in the video, and it may be due to the location of the moving target. Varying occlusion of the background causes irrecoverable pixel loss in the stitched image. At this time, the scheme of combining the background layer and the target layer can be used to express and compress the video content. Such as Figure 12 As shown, the moving target is separated from the background, only the background image is spliced ​​to form a background layer, and the moving target is expressed and compressed separately.

[0107] The specific implementation steps are as follows:

[0108] Step 1) Segmentation of moving objects: Since there is movement in the background of drone video aerial photography, it is necessary to analyze the entire sports field to dist...

Embodiment 3

[0113] Due to the existence of calculation errors, both background stitching and target tracking may cause deviations in the actual position information, resulting in irreparable distortion in the reconstructed video. In practical applications, there are also applications that require higher accuracy. If the transmission bandwidth or storage device permits, a more complex form of compression can be used. At this time, a solution combining the background layer, the target layer and the enhancement layer may be used to express and compress the video content. Such as Figure 4 As shown, the enhancement layer directly performs predictive coding on the video frame, and can generate different quality layers according to actual conditions. In this embodiment, the target layer is optional, and the actual combination may be background layer+target layer+enhancement layer; or background layer+enhancement layer. The enhancement layer can use the information of the background layer and...

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Abstract

The invention discloses a layered representation-based unmanned plane video adaptive transmission method. A device for realizing the method comprises a layered structure for video representation, wherein the layered structure sequentially comprises a background layer, an object layer and an enhancement layer from bottom to top. According to different requirements, a corresponding layered structure is selected to transmit a video, and the problem that the movement of an independent moving object in the video is vague and cannot be recognized after the independent moving object is compressed is solved by dividing the moving object. A clear panoramic picture can be provided, or a video sequence with relatively high quality can be provided. The output precision is improved, the compression time is greatly shortened, and the working efficiency is improved to a great extent.

Description

technical field [0001] The invention relates to a video screen transmission method, in particular to a method for self-adaptive transmission of UAV video based on layered expression. Background technique [0002] UAV (Unmanned Aerial Vehicles, UAV) is a hot spot in the development of military weapons in the world today, and will likely become the leading force in air combat in the 21st century, widely used in battlefield reconnaissance, surveillance, border patrol, electronic reconnaissance, target Positioning, tracking and identification, etc. [1]. In addition, UAVs can also be used for civilian surveying and mapping, road inspection, site monitoring, flood monitoring, etc. As far as the current situation is concerned, the role of most UAVs is based on the premise of airborne surveillance capabilities, which will depend on the collection, compression and transmission of video and images [2][3][4]. After decades of application and development, the UAV image transmission sy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04N19/30H04N19/37
Inventor 沈秋孔繁锵李小凡代俣西
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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