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Cloud object library construction method based on deep learning

A deep learning and construction method technology, applied in the field of image processing, can solve the problem of large storage space in the cloud object library, and achieve the effects of reducing redundant information, reducing the number of image coding bits, and reducing storage space

Active Publication Date: 2018-11-16
XIDIAN UNIV
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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 object library construction method based on deep learning, aiming to solve the technical problem of large storage space of the cloud object library existing in the existing cloud object library construction method

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Embodiment Construction

[0025] Below in conjunction with accompanying drawing and specific embodiment, the present invention will be described in further detail:

[0026] refer to figure 1 , a method for constructing a cloud object library based on deep learning, comprising the following steps:

[0027] Step 1) Obtain the basic cloud object library:

[0028] Step 1a) Obtain object images of common types in daily life from the ImageNet database, and store the object images by type. The ImageNet database is currently the most widely used database in the field of deep learning images, which contains more than 14 million images. images, covering more than 20,000 categories. Since the ImageNet database is too large, 30 images of common object types in daily life are selected from them, and 100 object images are randomly selected from each category;

[0029] Step 1b) Configure the keras deep learning library through the tensorflow deep learning framework, and use the feature extraction algorithm in the k...

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Abstract

The invention provides a cloud object library construction method based on deep learning, and aims at solving the technical problem that the constructed cloud object library is large in storage spacein the prior art. The realization step is as follows: selecting multiple images from an ImageNet database, and acquiring a basic cloud object library; initializing the object detection frame; performing object detection on the image with size of X input into the object detection frame by using the object detection frame; performing quality assessment on the n object images P1...Pi...Pn so as to obtain m object images P1...Pj...Pm; extracting an image feature of the object image Pj and screening the object image Pj, and taking the basic cloud object library containing the object image Pj as thecloud object library. The method disclosed by the invention can be applied to similar scenes for the internet cloud-side image compression and the personal photo album image compression.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for building a cloud object library, in particular to a method for building a cloud object library based on deep learning, which can be used as a similar scene for Internet cloud image compression and personal photo album image compression. Background technique [0002] 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 cloud images, reduce storage costs, and reduce the number of cloud image coding bits, a cloud image coding method based on cloud database i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06T9/00
CPCG06T9/00
Inventor 吴炜幸骁骁
Owner XIDIAN UNIV
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