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Cloud Image Coding Method Based on Object Library

An object image and image coding technology, applied in the field of cloud image coding based on object library, can solve the problem of large number of coding bits, and achieve the effect of improving coding efficiency and reducing the number of coding bits

Active Publication Date: 2019-10-11
XIDIAN UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a cloud image encoding method based on an object library, aiming to solve the technical problem of a large number of encoding bits existing in the existing cloud image encoding method

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  • Cloud Image Coding Method Based on Object Library
  • Cloud Image Coding Method Based on Object Library
  • Cloud Image Coding Method Based on Object Library

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Embodiment Construction

[0027] Below in conjunction with accompanying drawing and specific embodiment, the present invention will be described in further detail:

[0028] refer to figure 1 , a cloud image encoding method based on an object library, comprising the steps of:

[0029] Step 1) Perform object detection on the cloud image to be encoded:

[0030] Step 1a) Configure the object detection framework including the input directory and the command line by importing the trained weight parameter file, wherein the trained weight parameter file is a trained weight parameter compressed file provided on the Internet, which is obtained by downloading the online After the file is decompressed, the decompressed file is stored in the object detection framework. The input directory is the file directory that comes with the object detection framework. It is a component of the object detection framework. The purpose is to provide the storage location of the input target for the object detection framework. Th...

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Abstract

The invention provides a cloud image coding method based on an object library and aims to solve the technical problem that the number of coded bits of a cloud image in the prior art is large. The method comprises the following steps: carrying out object detection on a to-be-coded cloud image; acquiring an object database; searching and matching the cloud object image obtained by carrying out object detection on the to-be-coded cloud image and the object image in the object database to obtain a candidate coded reference object image set (formula); screening the candidate coded reference objectimage set (formula) to obtain a coded reference object image set; finally, using the object image in the coded reference object image set as a coded reference image to carry out HEVC coding on the to-be-coded cloud image. The method can be applied to the fields of internet cloud image compression, personal photo album compression and the like, and compression coding is carried out on the to-be-coded cloud image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a cloud image encoding method, in particular to an object library-based cloud image encoding method, which can be used in similar scenes of Internet cloud image compression and personal photo album image compression. Background technique [0002] With the rapid development of machine learning-based object detection frameworks, object libraries have emerged that provide training data for object detection frameworks. At present, with the development of the Internet and the popularization of smart phones, the number of cloud images appearing on the Internet has shown a geometric growth, and the space occupied by cloud image storage has also shown a geometric growth. Traditional image storage encoding formats include JPEG, BMP, etc. Although the encoding speed is fast, it has the disadvantage of occupying a large storage space. In order to reduce the storage space occupied by...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/503H04N19/51H04N19/147H04N19/85
Inventor 吴炜幸骁骁
Owner XIDIAN UNIV
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