Correlation-quality sequencing image retrieval method based on tag retrieval

An image retrieval and correlation technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as image quality issues that are not involved

Inactive Publication Date: 2012-10-24
BEIJING YINGPU TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] These methods can improve the performance of tag retrieval, but we believe that the relevance of query tags and images and image qu

Method used

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  • Correlation-quality sequencing image retrieval method based on tag retrieval
  • Correlation-quality sequencing image retrieval method based on tag retrieval
  • Correlation-quality sequencing image retrieval method based on tag retrieval

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Embodiment Construction

[0058] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0059] The following examples are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following examples. The specific implementation steps are as follows:

[0060] 1. Download the tagged image library.

[0061] 2. Input the tags to be queried on the image retrieval interface, and the system will automatically match the corresponding images in the image library.

[0062] 3. Extract sub-library image features.

[0063] 3.1. Color characteristics

[0064] Image color is widely used in image retrieval due to its invariance to scaling, translation and rotation. Commonly used color features or descriptions include color covariance matrix, color histogram, color moment, and color consistency ...

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Abstract

The invention discloses a correlation-quality sequencing image retrieval method based on tag retrieval. The correlation-quality sequencing image retrieval method comprises the following steps of: firstly, automatically sequencing social images according to the correlation of images and tags, fusing the vision consistency among the images and the vision consistency of the semanteme correlation among the images and the tags by utilizing a normalization frame, and solving an optimization problem by utilizing an iteration algorithm so as to obtain a correlation sequence; and selecting the brightness, the contrast ratio and the color variety of the images to be used as quality characteristics of the images to balance previously returned images, overlaying correlation scores and quality scores by utilizing a linear model, and re-sequencing the images according to a final total score, and therefore, a correlation-quality sequencing algorithm is realized.

Description

technical field [0001] The invention relates to an image retrieval and sorting algorithm in the field of computer technology, in particular to a correlation-quality sorting algorithm based on label query. Background technique [0002] In recent years, global informatization and economic globalization have become the development trend of the times. Effective retrieval and processing of rapidly expanding massive image data is the primary issue for people to research and develop multimedia services with image / video as the main body. Aiming at the deficiencies of the currently widely used image retrieval methods based on Keywords-Based Retrieval (Keywords-Based Retrieval), people proposed Content-Based Image Retrieval (CBIR) technology. However, for content-based image retrieval technology, a serious problem is that there is a huge semantic gap (Semantic Gap) between the low-level visual features of the image and the high-level semantics, and the user's understanding of the imag...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 朱松豪邹黎明罗青青孙伟梁志伟
Owner BEIJING YINGPU TECH CO LTD
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