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Multimode-combined image reordering method

A multimodal and reordering technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as unsatisfactory sorting results, and achieve the effect of improving sorting results and fast convergence speed

Inactive Publication Date: 2011-07-20
SHANDONG UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above image sorting algorithms usually only consider image unimodality, and the sorting results are unsatisfactory

Method used

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0039] Such as figure 1 It is the algorithm flow chart of the present invention, below in conjunction with this flow chart, method implementation and specific details are described further:

[0040] A multimodal joint image reordering algorithm, the specific steps are:

[0041] (1) Propose the visual features of the image and the textual features associated with them.

[0042] (2) Retrieve intra-modality (between single modalities) and inter-modality (between multiple modalities) similarities between images. And build a multigraph based on these similarities.

[0043] (3) Process multiple graphs to degenerate into a complete graph.

[0044] (4) Perform a random walk on the complete graph and calculate the image ranking score.

[0045] (5) Reorder the images according to the score of the random walk to get the final result.

[0046] In the step (1), the ...

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Abstract

The invention discloses a reordering method aiming at image retrieval result, which can make full use of multimode information in the process of image ordering, can further improve the image ordering result on the basis of the current retrieval result to enhance the accuracy, and is extraordinarily suitable for the use by an image retrieval system under a network environment or on the basis of a local system. The method of the invention comprises the following steps of: (1) extracting visual and textual characteristics of images; (2) retrieving the similarity in the modes (between single modes) and the similarity between the modes (between multiple modes) between the images, and constructing a multigraph according to the similarities; (3) processing the multigraph so that the multigraph is deteriorated to a complete graph; (4) performing random walk on the complete graph and calculating image ordering scores; and (5) reordering the images according to the condition of the image ordering scores to obtain a final result.

Description

technical field [0001] The invention relates to the reordering of search results of an image search engine, in particular to an image reordering algorithm that jointly utilizes image multi-modal features. Background technique [0002] Existing image retrieval systems are mostly based on text keywords. They search for images based on how relevant the text surrounding the images on the web page is to the query keywords. However, because the webpage text often cannot reflect the content of the image correctly, or there is noise, the results of image retrieval based on text are not satisfactory. [0003] Image reordering refers to the reordering of image retrieval results by using some additional information, which includes image intrinsic features and some external assumptions. Image features generally include image visual features and image-associated text features, and each feature is called a modality. [0004] Image re-ranking algorithms can be divided into three categor...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
Inventor 许信顺王刚陈竹敏彭亮
Owner SHANDONG UNIV
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