Automatic news splitting method for volume broadcast television supervision

Abstract

The invention discloses an automatic news splitting method for volume broadcast television supervision. The automatic news splitting method for volume broadcast television supervision comprises the steps that broadcast television data are initialized to automatically obtain a news program voice frequency waveform and a video image, audio and video features of the news data are extracted and comprise host detection, subtitling detection and traction and voice detection, a vision candidate point and a voice candidate point of a news item boundary are obtained through a heuristic rule, the news item boundary is calculated in a positioning mode according to audio and video fusion, a processing result provided in the previous steps is stored into a knowledge base to serve as knowledge resources supporting supervision requirements after artificial check. The automatic news splitting method for volume broadcast television supervision has the advantages that the constructed audio and video features accord with the description of the news item boundary, the designed audio and video fusion strategy fits with a news item organization structure, and therefore the news splitting process is higher in execution efficiency, higher in column robustness and more ideal in result compared with an existing method.

Description

technical field [0001] The invention belongs to the field of supervision and distribution of new media contents of radio and television oriented to the integration of three networks, and in particular relates to an automatic news stripping method oriented to the supervision of massive radio and television. Background technique [0002] TV news is an important form of information reporting. Compared with other types of news, it has the characteristics of rich content, wide audience, intuitive performance, and large amount of information. In addition, TV news is also an important channel of information dissemination, which is used to carry the dynamics of major events and the guidance of public opinion, and has important regulatory value. [0003] In recent years, there is a profound background to the quietly rising attention of TV news. On the one hand, the vigorous development of the radio and television industry has made TV news an important way for the people to obtain in...

AI Technical Summary

Problems solved by technology

Among them, the emergence of a large number of valuable news program data has brought new difficulties and challenges: on the one hand, due to the lack of effective technical processing means, a large number of news resources cannot be developed and utilized in depth; With continuous development, the timeliness of various anomaly discovery and emergency response has been continuously improved. For example, for the content monitoring task of overseas Chinese news programs, the on-duty staff needs to judge sensitive information on the content of dozens of satellite programs in a very short period of time. , with the continuous increase in the number of monitoring channels, it will be impossible to complete the task within the specified time, relying solely on manual work

The rapid development of various new businesses such as radio and TV news special monitoring, radio and TV news public opinion monitoring, etc. have put forward higher requirements for the scale, diversity, management ability and timeliness of monitoring content. content monitoring and management methods can no longer adapt to the above developments

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