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Multi-feature fusion human face image searching method and system

A multi-feature fusion, face image technology, applied in the field of multi-feature fusion face image search methods and systems, can solve problems such as difficulty in meeting user accuracy requirements, and achieve rich query functions and high search accuracy.

Inactive Publication Date: 2014-09-24
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0003] However, in the existing technologies, whether it is based on general text keywords, face image search technology based on image content or fusion of partial face detection domain knowledge, it is difficult to meet the user's higher accuracy requirements

Method used

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  • Multi-feature fusion human face image searching method and system
  • Multi-feature fusion human face image searching method and system
  • Multi-feature fusion human face image searching method and system

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Embodiment Construction

[0024] At first the technical terms in the present invention are explained and illustrated:

[0025] Bottom features: feature vectors representing image semantics obtained according to the relationship between image pixels.

[0026] Dimensionality reduction: Mathematical reduction of higher dimensional vectors to lower dimensions.

[0027] URL: Uniform Resource Locator. On the Internet, each object (such as a web page, image, etc.) has a unique address to identify its location on the Internet. Users can access the object through this address. This address is called URL.

[0028] Adaboost Cascade algorithm: a classification algorithm in the field of machine learning, used to classify data. The basic idea is to obtain a strong classifier by weighting several weak classifiers.

[0029] Gabor wavelet transform: a processing method in the field of image processing, which realizes the transformation from the spatial domain to the frequency domain.

[0030] LBP operator: local bin...

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Abstract

The invention discloses a multi-feature fusion human face image searching method. The method comprises the following steps of: acquiring an image and text information surrounding the image from the Internet, storing the image and the text information respectively into an original image library and a text library; filtering non-human face images and irregular human face images from the original image library, saving regular human face images and storing the human face images into an human face image library; extracting the bottom layer features of the human face images in the human face image library; reducing the dimensions of the bottom layer features and storing the bottom layer features into a feature library; establishing feature indexes for the bottom layer features and storing the feature indexes into a feature index file; establishing text indexes for the text information in the text library and storing the text indexes into a text index file; receiving a text and an image which are submitted by a user; and indexing the text from the text index file, searching the image from the feature index file according to the searching result of the text, and feeding back the searching result of the image to the user. The method has the characteristics of high searching precision, high reliability and high efficiency.

Description

technical field [0001] The invention relates to the field of multimedia information retrieval, in particular to a multi-feature fusion face image search method and system. Background technique [0002] At present, the face image search based on the Internet mostly uses text-based keywords for image retrieval, such as the general image search of Baidu and Google. Users search by entering keywords such as names, and then obtain images of interest through user interaction selection. . Recently, some commercial search engines have used face image content information in their image search functions based on text keywords to provide more accurate retrieval results. Google has launched an image search function that only searches for faces, by adding a layer of face detection to the text search results to filter out non-face images. The Bing search engine launched by Microsoft uses correlation feedback to allow users to return face images with similar content by clicking on the fa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06K9/46
Inventor 金海章勤郑然文石磊郭明瑞
Owner HUAZHONG UNIV OF SCI & TECH
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