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Image search method

A technology of image retrieval and image, which is applied in the field of information retrieval, can solve the problems of low efficiency of image retrieval technology, achieve the effect of improving image retrieval efficiency, improving recall rate and precision rate, and expanding the scope

Active Publication Date: 2010-10-06
慕名信息技术(南通)有限公司
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AI Technical Summary

Problems solved by technology

[0005] In practical applications, the efficiency of image retrieval technology is not high, and the search results have limitations

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] see figure 2 , taking the object to be queried as an image as an example to describe the method in detail, see the description below:

[0044] 101: Extract the underlying features of the image to be queried and the image in the image database input by the user, and extract the high-dimensional feature vector of the image to be queried and the high-dimensional feature vector of the image in the image database;

[0045] The above steps are specifically as follows: by performing the underlying feature extraction calculation on the image to be queried input by the user and the image in the image library, extracting different features of the image respectively, and performing normalization and combination processing on the extracted different features, A high-dimensional feature vector is extracted, and the extracted high-dimensional feature vector is used for the entire query process.

[0046] Among them, image bottom-level feature extraction is a prerequisite for image r...

Embodiment 2

[0066] see Figure 5 , take the object to be queried as text as an example to describe the method in detail, see the description below:

[0067] 201: Extract keywords from the text to be queried by natural language processing, and obtain a semantic description of the text to be queried;

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Abstract

The invention discloses an image search method, and relates to the field of information search. The method comprises the following steps of: acquiring semantic description of an object to be queried; building an image body library according to the type of images in an image library; performing semantic query in the image body library according to the semantic description of the object to be queried to acquire image examples similar to the object to be queried and semantic descriptions related to the image examples; and sequencing the similarities of the image examples to acquire and output the image example with the highest similarity and corresponding semantic description. Through the method, the image example which is most similar to the object to be queried and the corresponding semantic description can be obtained so as to improve the recall ratio and precision ratio of search and image search efficiency and expand the search range.

Description

technical field [0001] The invention relates to the field of information retrieval, in particular to an image retrieval method. Background technique [0002] With the popularization of the Internet and the rapid development of computer software and hardware, more and more multimedia information is displayed in front of people. Faced with the impact of various and complicated visual information, how to effectively extract the information that users need and how to effectively retrieve multimedia information has become an urgent problem that people need to solve. [0003] For this reason, the image retrieval technology is proposed in the prior art. The image retrieval technology is a highly practical technology that can be applied to all aspects of social life and has broad application prospects. The image retrieval technology can meet the needs of daily applications. demand. [0004] In the process of realizing the present invention, the inventor finds that the above-mentio...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 冯志勇陈祉宏贾宇
Owner 慕名信息技术(南通)有限公司
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