Public Semantic Representation, Search Method and Device for Cross-media Big Data

A semantic representation and cross-media technology, applied in digital data information retrieval, electronic digital data processing, special data processing applications, etc., can solve the problem of low accuracy, inability to discover fine-grained cross-media semantic associations, and cross-media association learning capabilities Weakness and other problems to achieve the effect of enhancing learning ability and overcoming sparsity

Active Publication Date: 2022-06-21
BEIJING UNIV OF POSTS & TELECOMM
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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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  • Public Semantic Representation, Search Method and Device for Cross-media Big Data

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

[0052] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but not to be construed as a limitation of the present invention.

[0053] It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It will further be understood that when we refer to...

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Abstract

The invention discloses a method and device for public semantic representation and search of cross-media big data. The method includes: extracting global semantic features and local salient deep semantic features of images and texts in the big data; determining the images and texts The similarity of the global semantic features of the image and text, and the similarity of the local salient semantic features of the image and text; the cross-media semantic association learning is carried out by combining the global and local salient semantic feature similarity of the image and text to obtain cross-media big data The public semantic representation of . The application of the present invention can enhance the cross-media association learning ability, discover potential fine-grained cross-media semantic associations, thereby improving the search accuracy of cross-media big data.

Description

technical field [0001] The invention relates to the field of cross-media big data, in particular to a public semantic representation, 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 education, unprecedented big data resources have been gradually formed and accumulated, including cross-media data such as text, images and videos. value information. However, in the face of massive heterogeneous and diversified cross-media big data, and the data is distributed in various social networks and other multi-source Internet platforms, if users want to search for the required effective information in the massive data, traditional information search Technology has been difficult to meet users' increasing demands for personalized and precise information acquisition. Therefore, it is necessary to improve the accuracy of resource search, make full use of big data...

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Application Information

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Patent Type & Authority Patents(China)
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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