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Method and system for processing crowd-sourcing multimode data

A processing method and processing system technology, which are applied in the field of multimodal data processing methods and systems for crowd intelligence, and can solve the problems of not considering data optimization and lack of diversity of results.

Inactive Publication Date: 2017-10-13
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] These patents only consider cross-modal information retrieval, and do not consider data optimization based on cross-modal data association, and the obtained results lack diversity.

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  • Method and system for processing crowd-sourcing multimode data
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  • Method and system for processing crowd-sourcing multimode data

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Embodiment Construction

[0037] The purpose of the present invention is to provide a processing method and system for group intelligence multimodal data.

[0038] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] like figure 1 As shown, as an implementable mode, a method for processing multimodal data of crowd intelligence includes the following steps:

[0040] S1. Obtain user-generated content in social networks as crowd intelligence data;

[0041] S2. Extract text features according to the text data in the crowd intelligence data;

[0042] S3, extracting image features according to the image data in the crowd intelligence data;

[0043] S4. Based on the extracted image features, cluster the image data;

[0044] S5. Based on the extracted text features, perform hash coding on the text data to obtain...

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Abstract

The invention discloses a method and a system for processing crowd-sourcing multimode data. The method includes: extracting textual characteristics of textual data and image characteristics of image data from social network crowd-sourcing data, and clustering the image data based on the image characteristics; performing Hash coding on the basis of the extracted textual characteristics and image characteristics; finally, calculating Hamming distances between textual data Hash codes and image data Hash codes, and adding image data, smallest in Hamming distance, in each type of images into an optimal data set; according to the textual data in crowd-sourcing data, optimizing the image data in the crowd-sourcing data by combination of clustering and cross-modal data association. Therefore, data diversity is improved while data semantic relevance is guaranteed.

Description

technical field [0001] The invention relates to the field of crowd intelligence data screening, in particular to a processing method and system for crowd intelligence multimodal data. Background technique [0002] In recent years, with the rapid development of social media such as Weibo, Twitter, etc., more and more user-generated content has been produced on the network, and user-generated content can be regarded as a representative part of the Internet era. Swarm intelligence data. There are four types of crowd intelligence data in social media: text, image, video, and audio, among which text and image data are the most common. Due to the large number of social media users and the strong openness of the platform, the crowd intelligence data from social media is rich but complicated. At present, a large number of related techniques have been used to select representative text data. [0003] At present, some researches have achieved cross-modal data retrieval: Patent CN10...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/5846
Inventor 郭斌欧阳逸於志文张佳凡王柱
Owner NORTHWESTERN POLYTECHNICAL UNIV
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