An image search method and its search engine

An image search, picture technology, applied in the field of Internet search engines, can solve the problem of only searching for similar images and so on

Inactive Publication Date: 2011-12-07
BEIHANG UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the deficiency that current image search engines can only search for similar images, and proposes an image search method and its search engine

Method used

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  • An image search method and its search engine
  • An image search method and its search engine

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Embodiment Construction

[0029] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0030] like figure 1 Shown, image search engine method of the present invention comprises:

[0031] Step 101: Obtain a source image to be searched. Specifically, the source picture can be obtained by uploading locally, by submitting a picture URL (URL), or by shooting with a computer camera, etc.

[0032] Step 102: Search for pictures similar to the provided source picture from the whole network to obtain a set of similar pictures. Specifically, the method for obtaining the similar picture set is obtained by using an image search engine and an image similarity algorithm in the prior art. Similar pictures refer to pictures that have commonality in visual features. Image search engines and image similarity algorithms in the prior art first divide the image into small blocks, and perform histogram analysis and edge extraction on each small block, and...

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Abstract

The invention provides an image search method and a search engine thereof. The method obtains similar images by crawling the obtained pictures on the whole network, extracts the context and subject information of the pictures from the source webpage of the similar images, and finally provides the search results of the images comprehensively according to the semantic features and visual features of the images . The image search engine includes an acquisition module, a primary search module, a secondary search module, a word segmentation module and a determination module. The acquisition module obtains the source image, the primary search module obtains a similar image set, and the secondary search module establishes a data structure of web page information of the similar image set. The word segmentation module marks the position weight of the picture context, extracts the longest phrase and marks the word weight, and the determination module extracts the core subject words and crawls relevant picture information. The present invention provides a search engine and search method that more comprehensively uses images to search subject information and related images, and users can generate different needs according to different scenarios and achieve specific effects.

Description

technical field [0001] The invention relates to Internet search engine technology, and specifically designs an image search engine method and a search engine thereof. Background technique [0002] General image search engines are based on two methods, one is to search for images based on text, and the other is to search for similar images based on visual features of images. The first method cannot meet the search needs of users when they only have image sources. The search results of the second method only match similar images. In practice, the search results are very similar to the original image. For example, when searching for a picture of a news figure, It is possible to obtain pictures of the same person, the same place, and the same action on the Internet, but only the source websites are different, but it is impossible to further understand the deep information contained in the subject of the picture. Therefore, if you want to obtain the deep information contained in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 王之越赵长海
Owner BEIHANG UNIV
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