Image retrieval method and system

An image retrieval and image technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of poor sample data adaptability, poor method generalization ability, and low retrieval accuracy, so as to improve generalization ability and solve adaptive problems. Poor performance, good search results

Inactive Publication Date: 2018-11-16
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0008] Aiming at the above defects or improvement needs of the prior art, the present invention provides an image retrieval method and system, the purpose of which is to solve the problems of low retrieval accuracy and me

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  • Image retrieval method and system
  • Image retrieval method and system

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Embodiment Construction

[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0058] like figure 1 As shown, the image retrieval method of the present invention comprises the following steps:

[0059] (1) Obtain the image input by the user, and input the image into the trained similarity hash function network to generate a similarity hash code;

[0060] Specifically, the similarity hash function network trained in this step specifically includes a sequentially connected...

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Abstract

The invention discloses an image retrieval method. The method comprises the steps that an image input by a user is acquired, and the image is input into a trained similarity hash function network to generate a similarity hash code; the generated similarity hash code and each hash code in a hash code library of a to-be-retrieved image is subjected to bitwise exclusive OR operation to generate a plurality of Hamming distances, and multiple image samples corresponding to the Hamming distances less than or equal to a hash code with a set threshold serve as retrieval results. The image retrieval method can solve the technical problems of low retrieval accuracy, poor method generalization capability, excessive classification, poor adaptability to sample data and large time consumption of existing content-based image similarity hash.

Description

technical field [0001] The invention belongs to the technical field of image retrieval, and more particularly relates to an image retrieval method and system. Background technique [0002] With the continuous expansion of image data scale, image retrieval for large image datasets has been attracting the attention of researchers, among which content-based image similarity hashing is an effective image retrieval method in the big data environment. [0003] Currently, content-based image similarity hashing mainly includes effective feature extraction methods, data-aware hashing methods, classification label methods, and deep network methods. [0004] Effective feature extraction methods are mainly based on manually drawn features, such as color histograms, GIST, SIFT, BIG, etc., but the feature extraction model of this method is a shallow model, which cannot reveal the high-level semantic information contained in the feature data in essence. Poor performance in dealing with th...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F18/2155G06F18/23
Inventor 周可刘渝汪洋涛
Owner HUAZHONG UNIV OF SCI & TECH
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