Cross-media topic detection method and device based on multimodal information fusion and graph clustering

A topic detection and cross-media technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as inability to transplant multi-modal data, time axis over-segmentation and over-generation

Active Publication Date: 2014-08-20
INST OF COMPUTING TECH CHINESE ACAD OF SCI
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to provide a cross-media topic detection method and its device based on multi-modal information fusion and graph clustering, which are used to effectively avo...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cross-media topic detection method and device based on multimodal information fusion and graph clustering
  • Cross-media topic detection method and device based on multimodal information fusion and graph clustering
  • Cross-media topic detection method and device based on multimodal information fusion and graph clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0094] The technical solutions of the present invention will be further described in more detail in conjunction with the accompanying drawings and specific embodiments.

[0095] Such as figure 2 As shown, it is a flow chart of the cross-media topic detection method based on the multi-modal information fusion framework and graph clustering of the present invention, image 3 It is a schematic diagram of the cross-media topic detection method based on the multi-modal information fusion framework and graph clustering of the present invention, Figure 4 It is an example of the fusion of multiple modal information graphs in the present invention; this graph takes two modals of text and visual information as examples, in which the square node For data containing text information, the dot node For data containing visual information, solid line nodes It is data that contains two kinds of information at the same time. Figure 5 It is the multi-modal information graph fusion fram...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a cross-media topic detection method and device based on multimodal information fusion and graph clustering. The method includes the steps that first, text information and video content are preprocessed; second, text fusion and high-layer characteristic extraction are performed to obtain text information similarity; third, similar clips of video are detected, and vision information similarity is obtained; fourth, according to the text information similarity, the vision information similarity and time information of fused data, the final data similarity is calculated; fifth, according to the final data similarity, graph fusion and graph clustering are performed, and topic detection is completed. The method effectively avoids the over-segmentation and the over-generation problem caused by hard quantification on a time axis and the problem that an existing topic detection method can not be transplanted to topic detection on multimodal data from different multimedia sources.

Description

technical field [0001] The invention relates to a topic detection technology in multimedia data, in particular to a cross-media topic detection method based on multimodal information fusion and graph clustering. Background technique [0002] The rapid development of social networks and social media, as well as the high-speed dissemination of data on social networks and social media, make topic detection from network data one of the research hotspots in the field of information processing. Reasonable and effective organization of network data according to topics, on the one hand, it can facilitate users to browse network data, improve user experience, so that they can find the social reality topics they want to know more quickly and accurately, on the other hand, it is beneficial for network administrators and government-related department for information management. [0003] At present, most methods for topic detection can be roughly divided into three categories according ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/27G06K9/00
Inventor 黄庆明张艳雁褚令洋李国荣王树徽张维刚
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products