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Cross-media big data public semantic representation method and device and cross-media big data search method and device

A semantic representation, cross-media technology, applied in digital data information retrieval, electronic digital data processing, special data processing applications, etc. related issues

Active Publication Date: 2020-02-11
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inventors of the present invention have found that the existing cross-media semantic association learning and searching methods have weak cross-media association learning ability and cannot discover potential fine-grained cross-media semantic associations, which leads to cross-media big data in online social networks. Inaccurate when performing searches

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  • Cross-media big data public semantic representation method and device and cross-media big data search method and device

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Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0052] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0053] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that when an element is referred to as being "connected" or "coupled" to another el...

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Abstract

The invention discloses a cross-media big data public semantic representation method and device and a cross-media big data search method and device. The method comprises the steps that global semanticfeatures and local significance depth semantic features of images and texts in big data are extracted; determining the global semantic feature similarity of the image and the text and the local significance semantic feature similarity of the image and the text; and performing cross-media semantic association learning by combining the global and local significance semantic feature similarity of the image and the text to obtain public semantic representation of cross-media big data. By applying the method and the system, the cross-media association learning capability can be enhanced, and potential fine-grained cross-media semantic association is discovered, so that the search accuracy of cross-media big data is improved.

Description

technical field [0001] The present invention relates to the field of cross-media big data, in particular to a public semantic representation and search method and device for cross-media big data. Background technique [0002] With the application of large-scale information network technology in various fields, such as the field of education, unprecedented big data resources have gradually formed and accumulated, including cross-media data such as text, images, and videos. These huge data contain rich and valuable information. value information. However, in the face of massive heterogeneous and diverse cross-media big data, and data distributed on various social networks and other multi-source Internet platforms, if users want to search for the required effective information in massive data, traditional information search Technology has been difficult to meet the growing needs of users for personalized and precise information acquisition. Therefore, it is necessary to impro...

Claims

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Application Information

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IPC IPC(8): G06F16/432
CPCG06F16/434
Inventor 梁美玉杜军平薛哲寇菲菲杨从先王旭
Owner BEIJING UNIV OF POSTS & TELECOMM
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