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A fusion reasoning system and method for intelligent tags of news programs

A technology of smart labels and reasoning methods, applied in character and pattern recognition, other database retrieval based on metadata, instruments, etc., can solve problems such as error-prone and low efficiency, and achieve accuracy improvement, data dimension reduction, classification model Accurate and efficient effect

Active Publication Date: 2019-04-16
CHENGDU SOBEY DIGITAL TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem that labels in the media content of news programs rely on manual extraction, which is inefficient and prone to errors, the present invention provides a fusion reasoning system and method for intelligent labels of news programs, which comprehensively utilizes intelligent identification methods , build an internal knowledge base and an internal case base based on the historical tag library, complete the automatic fusion reasoning of news program tags, and classify accurately and efficiently

Method used

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  • A fusion reasoning system and method for intelligent tags of news programs
  • A fusion reasoning system and method for intelligent tags of news programs

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Embodiment 1

[0067] Such as figure 1 As shown, this embodiment provides a fusion reasoning system for news program smart labels, including an intelligent recognition executor, a historical label library, an internal knowledge base, an internal case library, and an analysis reasoner,

[0068] Intelligent recognition executor: used to perform recognition tasks for various news program materials. The recognition process uses face recognition executors, OCR executors, voice recognition executors and NLP executors to perform basic labeling of video images, voice and text information extract;

[0069] Historical tag library: used to store material, metadata and tags. The material in the historical tag library includes text, voice and video images; metadata includes the title, keywords, creation time, location, type and other information of the material; The fields involved, emotional tendencies, time of occurrence, characters, place of occurrence, etc. The fields mentioned include entertainment...

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Abstract

The invention discloses a fusion reasoning system and a fusion reasoning method for intelligent tags of news programs, relates to the technical field of news program tags. the intelligent news programtag identification system comprises an intelligent identification actuator, a historical tag library, an internal knowledge base, an internal case library and an analysis reasoner; the intelligent identification actuator executes identification tasks of various news program materials, and basic tag extraction is conducted on video images, voice and text information; Wherein the historical tag library stores materials, metadata and tags; The internal knowledge base is used for supplementing an intelligent recognition result and providing more information for subsequent analysis and reasoning;Wherein the internal case library is a case set established based on a historical tag library; According to the news program tag automatic fusion reasoning system and method, the intelligent recognition method is comprehensively utilized, the internal knowledge base and the internal case base are established based on the historical tag base, automatic fusion reasoning of news program tags is completed, and classification is accurate and efficient.

Description

technical field [0001] The invention relates to the technical field of news program labeling, and more particularly relates to a fusion reasoning system and method for news program intelligent labeling. Background technique [0002] With the development and progress of the times, the labeling of media content has become ubiquitous, and many practical services require the participation of labels, such as content retrieval and review. Traditionally, media content is identified and tagged manually, but with the increase in the amount of media data and the expansion of business needs, the traditional low-efficiency manual tagging method can no longer meet the fast and efficient business needs . At the same time, the continuous development of intelligent recognition technology and the gradual maturity of deep learning and other technologies make it gradually become a reality to automatically and accurately generate content tags for multimedia materials. [0003] A piece of news...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/906G06F16/907G06F16/36G06K9/62
CPCG06F18/25
Inventor 温序铭谢超平王炜
Owner CHENGDU SOBEY DIGITAL TECH CO LTD
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