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Quick sorting method for movie types based on poster and plot summary

A plot introduction and movie technology, applied in the field of pattern recognition, can solve the problems of slow video detection, low accuracy, and inability to complete the detection task, and achieve the effect of high-accuracy detection.

Inactive Publication Date: 2016-01-20
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The detection based on video content has the following problems: a large amount of data is required, video detection is slow, and the detection task cannot be completed without the video content itself, and the accuracy rate is not very high

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  • Quick sorting method for movie types based on poster and plot summary
  • Quick sorting method for movie types based on poster and plot summary
  • Quick sorting method for movie types based on poster and plot summary

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0020] The specific operating hardware and programming language of the method of the present invention are not limited, and the method of the present invention can be realized by writing in any language. The present invention adopts a computer with a 2.67G Hz central processing unit and 4G byte memory, and uses C++ language to compile the programs involved in the present invention to realize the method of the present invention.

[0021] figure 1 is a flowchart of a method for rapid classification of movie genres based on posters and synopsis.

[0022] Step 101: Collect Chinese and foreign video websites, determine the type set to which the movie belongs, collect as many movie posters and plot introductions as possible, a...

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Abstract

The invention discloses a quick sorting method for movie types based on posters and plot summaries. The method comprises: determining a type assembly a movie belongs to, establishing poster training sets and plot summary training sets of various kinds of movies; extracting characteristics of a poster of a to-be-tested movie, using the obtained characteristics of each poster and a label training support vector machine corresponding to the poster to obtain a sorting model of posters; extracting characteristics of a text of the plot summary of the to-be-tested movie, using the obtained characteristics of each text and the corresponding label training support vector machine to obtain a sorting model of the texts; using the sorting model of the posters to predict the poster of the to-be-tested movie, to obtain a result Y1, and then calling the sorting model of the texts to predict the plot summary of the to-be-tested movie, to obtain a result Y2; and finally performing OR operation on the Y1 and Y2, to obtain the type of the to-be-tested movie. The method can rapidly and accurately predict the type of a movie under a condition of no movie videos.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a film type detection technology. Background technique [0002] With the rapid development of the Internet, movies have become an indispensable part of people's spare time life. So far, there is no unified regulation on the types of movies. The categories of movies are roughly divided into: horror, romance, action, comedy, science fiction, etc. Movie websites will manually label movies with category tags, so it is necessary to quickly classify movies. [0003] The detection of movie types is basically based on the video content itself. The detection of video content includes: the detection of shot boundaries, the detection of shot video key frames, and the detection of audio features. The basic assumption of shot boundary detection is that there is a large difference in the content of two adjacent shots. Therefore, the boundaries of a shot can be determined by measuring the...

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Application Information

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IPC IPC(8): G06F17/30G06K9/46G06K9/62
CPCG06F16/35G06F16/70G06V10/56G06F18/2411
Inventor 胡卫明付志康李兵
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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