Visual saliency and visual phrase combined image retrieval method

An image retrieval and visual phrase technology, applied in the field of image processing, can solve the problem of inaccurate semantic expression of images, and achieve good retrieval effect, high speed, and noise reduction effect.

Active Publication Date: 2014-06-04
BEIJING UNIV OF TECH
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Problems solved by technology

[0005] Aiming at the problem of inaccurate image semantic expression existing in the existing image retriev

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  • Visual saliency and visual phrase combined image retrieval method
  • Visual saliency and visual phrase combined image retrieval method
  • Visual saliency and visual phrase combined image retrieval method

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Embodiment Construction

[0018] The present invention will be further described below in combination with specific embodiments.

[0019] The flowchart of the method of the present invention is as figure 1 shown, including the following steps:

[0020] Step 1, input a query image I with width W and height H.

[0021] Step 2, calculate the saliency map of the query image.

[0022] Step 2.1, divide the image I evenly into L non-overlapping image blocks p i , i=1,2,...,L, so that after segmentation, each row contains N image blocks, each column contains J image blocks, each image block is a square, and each image block p i vectorize to a column vector f i , and perform dimensionality reduction on all vectors through principal component analysis. After dimensionality reduction, a d×L matrix U is obtained, and its i-th column corresponds to the image block p i Reduced vector. The matrix U is formed as:

[0023] U=[X 1 x 2 …X d ] T (1)

[0024] Step 2.2, calculate each image block p i degre...

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Abstract

The invention relates to a visual saliency and visual phrase combined image retrieval method. The method includes the first step of inputting a query image, the second step of calculating the saliency image of the query image, the third step of extracting a saliency region of the query image, the fourth step of extracting visual words in the saliency region of the query image and constructing visual phases, the fifth step of obtaining the image descriptor of each image, and the sixth step of calculating the image similarity between the query image and images in an image library, carrying out sorting on the images in the image library according to image similarity values and returning the corresponding image as a query result according to requirements. Through the method, the image region is restrained by introducing the visual saliency on the basis of a typical 'bag of words' model, the noise of image expression is reduced, and the expression of the images in a computer accords with understanding of human to image semantics more, so the method has the good retrieval effect. According to the method, the visual phases are constructed through region constraints between the visual words; compared with other visual phase contraction methods, the method has the advantage of being high in speed.

Description

technical field [0001] The invention belongs to the field of image processing and relates to an image representation and matching method in image retrieval, in particular to an image retrieval method combining visual salience and phrases. Background technique [0002] With the rapid development and application of computer, network and multimedia technology, the number of digital images is increasing at an alarming rate. How to quickly and efficiently find the images people need from the massive digital image collection has become an urgent problem to be solved. For this reason, image retrieval technology has emerged as the times require and has achieved great development. From the earliest retrieval based on manual annotation of images to the current retrieval based on image content, the accuracy and efficiency of image retrieval have also been significantly improved, but it is still not possible. satisfy people's demands. The crux of the problem is that there is currently ...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/5838
Inventor 段立娟赵则明马伟张璇苗军乔元华
Owner BEIJING UNIV OF TECH
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