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Active semi-monitoring-related feedback method for digital image search

A digital image and related feedback technology, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as multiple feedback rounds, and achieve the effect of good retrieval effect.

Active Publication Date: 2008-06-04
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. Purpose of the invention: the main purpose of the present invention is to solve the problem that more feedback rounds are required due to the acceptance of a limited number of images randomly selected by the user in the relevant feedback process in the current digital image retrieval

Method used

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  • Active semi-monitoring-related feedback method for digital image search
  • Active semi-monitoring-related feedback method for digital image search
  • Active semi-monitoring-related feedback method for digital image search

Examples

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Embodiment Construction

[0009] Such as figure 1 As shown, the digital image retrieval device acquires digital images from the digital image storage device. Assuming that M images are stored in the digital image storage device, the device simultaneously accepts the query images selected or submitted by the user. The device then generates a feature representation of the image. Applicable image features, such as color, texture, shape, etc., can be generated using classical methods in digital image processing textbooks, such that each image is represented by a feature vector. In each round of relevant feedback, based on the feature representation of the obtained instance image, the image retrieval device retrieves the image using active semi-supervised retrieval technology to generate the feedback result of this round, as shown in Figure 2. The example images obtained here include the query images initially submitted by the user, and may also include the images added after the user selects and indicates...

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Abstract

The present invention includes 1, receiving user's example picture including correlation picture and irrelevance picture; 2, according to example picture preliminary calculating picture similarity; 3, based on picture preliminary similarity using a semi supervise synergism technology automatically selecting some picture adding example picture assembly and common used as reference to generate more effective searching similarity measurement; 4, according to new generative picture similarity sorting picture and generating picture retrieval result; 5, according to new generative picture similarity absolute value sorting picture to generate image sequence for user active correlation feed-back; 6, ending. The present invention has advantages of 1, using less user flag sample to reach learning target; 2, through less turn user feed-back to obtain preferable searching effect.

Description

1. Technical field [0001] The invention relates to a digital image retrieval device, in particular to an active semi-supervised correlation feedback method suitable for digital image retrieval. 2. Background technology [0002] With the wide application of digital images in all walks of life, more and more digital images are accumulated. In order to reduce the burden of users and help users quickly and accurately find the images they want to obtain from the digital image library, effective image retrieval technology is needed. When performing image retrieval, the user usually submits a query image to the retrieval device, and then the retrieval device finds images similar to the query image in the image database and submits them to the user. Relevant feedback is a mechanism in digital image retrieval that continuously improves retrieval results through interaction with users. The specific process is that after the retrieval device returns the retrieval results, the user ju...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 周志华陈可佳戴宏斌
Owner NANJING UNIV
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