Segmentation method of news program

A program and news technology, applied in the multimedia field, can solve problems such as unguaranteed performance, time-consuming and labor-intensive problems, and achieve the effects of increasing automation, ensuring accuracy, and improving performance

Inactive Publication Date: 2011-08-31
TVMINING BEIJING MEDIA TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally speaking, it is time-consuming and labor-intensive to incorporate a lot of manual judgment, or use the development set to adjust parameters, and it will change with the change of the program, so the performance cannot be guaranteed.

Method used

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Embodiment Construction

[0030] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0031] figure 1 It is a flow chart of news program segmentation in the specific implementation manner of the present invention. Such as figure 1 As shown, the process of segmenting news programs includes the following steps:

[0032] A method for segmenting news programs, comprising the following steps:

[0033] Step 101, collecting audio and video data. Use computer and TV card to collect audio and video data in TV programs; use radio and sound card to collect audio data in broadcast signals, convert the audio data format into WINDOWS WAV format (pcm without compression), and the sampling rate is 16,000 heh.

[0034] Since the recording format of the TV card and sound card is determined, it only needs to be programmed and transcoded for a specific format.

[0035] Step 102, select the host's ...

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Abstract

The invention discloses a segmentation method of news program, which comprises the following steps of: acquiring the audio and video data, selecting new clips about a moderator, an interviewer and program music, training a global background model according to clips data, respectively self-adapting the speech/music clips on the global background model, computing a mapping vector as a space vector to obtain a self-adaptive model, segmenting the news program according to the end point detection, adjusting a threshold value, performing the speech/music recognition one segment by one segment according to the self-adaptive model, labeling the identity of a producer of each segment of speech/music; meanwhile, preserving the confidence grade information, extracting a video key frame from the news program clips with the confidence grade less than a predetermined value, verifying a labeling result, and combining the news program clips which are adjacent to each other and have the same producer of speech/music. By adopting the technical scheme, the automation of the segmentation of the news program is greatly increased, and the accuracy of the segmentation of the news program is guaranteed.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a method for segmenting news programs. Background technique [0002] With the development of the information age and the increase of multimedia materials, news broadcast programs are increasingly showing a massive scale. In order to obtain the content of interest conveniently, it is necessary to extract information from these materials. Among them, the segmentation of news programs is a very important task, which is conducive to quickly locating various topics and finding the key information of this program. Effective segmentation of news to obtain relatively complete and independent news topics is also conducive to the effective development of speech recognition technology and achieves better results. Usually, manual viewing and labeling are used. The editor needs to watch the program in its entirety, and just mark it when the theme is switched. The tool is relatively si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/262
Inventor 伍昕吴鹏刘赵杰
Owner TVMINING BEIJING MEDIA TECH
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