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Image retrieval method based on interest target

An image retrieval and interest technology, applied in the field of image retrieval based on the target of interest, can solve the problems of low efficiency, insufficient discrimination, and imperfect saliency detection of related technologies, so as to improve the recall rate and precision rate, suppress the effect of influence

Active Publication Date: 2017-05-10
SUZHOU UNIV
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Problems solved by technology

However, when Fu et al. proposed their algorithm, people's understanding of the saliency detection problem was not perfect, and the efficiency of related technologies was low, and the image features extracted by the algorithm only included color and texture, and the discrimination was not enough when describing the target. , resulting in inefficient image retrieval

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Embodiment Construction

[0034] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0035] The invention combines the latest research results in the fields of saliency detection and image segmentation to realize an image retrieval method based on an object of interest, and evaluates the proposed method on an image database. Compared with the retrieval model based on the whole image and the retrieval model proposed by Liu et al., the present invention solves different retrieval tasks of users; compared with the algorithm proposed by Fu et al., the retrieval performance of the present invention is significantly improved. The retrieval method of the present invention is: according to HS significance detection algorithm analysis user's interest object, combin...

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Abstract

The invention relates to an image retrieval method based on an interest target. The method comprises the first step of analyzing the interest target of a user according to an HS saliency detecting algorithm, and combining a SaliencyCut algorithm to segment the interest target; the second step of extracting an HSV color feature, an SIFT local feature and a CNN semantic feature from the interest target of the user; the third step of conducting feature similarity matching between the extracted features of the interest target and a database image, and obtaining a retrieval result based on the interest target according to the rank of similarity. By extracting the features merely in the regions of the interest target, an influence of a background on the retrieval result can be effectively inhibited, and the recall ratio and the precision ratio of the retrieval can be increased.

Description

technical field [0001] The invention belongs to the field of intelligent information processing such as multimedia information retrieval and pattern recognition, and in particular relates to an image retrieval method based on an object of interest. Background technique [0002] The popularity of portable image capture devices such as smartphones and digital cameras, and the popularity of data sharing platforms such as WeChat and Weibo have led to an explosion in the number of images on the Internet. In the face of massive image data, traditional manual image retrieval methods can no longer cope. Content-based image retrieval has gradually become a hot spot in scientific research, and related applications of image retrieval technology have also been developed. [0003] In the current image retrieval model and the corresponding image search engine, the underlying features of the image are usually extracted from the overall image. From a technical point of view, this approach...

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Application Information

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IPC IPC(8): G06F17/30G06K9/46
CPCG06F16/583G06V10/462
Inventor 钟宝江张峰
Owner SUZHOU UNIV
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