Method for classifying sports video based on key frame of main scene lens

A video classification and main scene technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of inability to obtain, do not know the starting and ending points of medium shots, and achieve the effect of improving accuracy

Inactive Publication Date: 2009-12-16
BEIJING UNIV OF POSTS & TELECOMM
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  • Description
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AI Technical Summary

Problems solved by technology

But for an unknown sports video, first of all, it is impossible to obtain its prior knowledge-it has certain characteristic information, such as the basket of basketball, the g...

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  • Method for classifying sports video based on key frame of main scene lens
  • Method for classifying sports video based on key frame of main scene lens
  • Method for classifying sports video based on key frame of main scene lens

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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the accompanying drawings. Such as Figure 5 As shown, the sports video is divided into multiple shots such as long shot, middle shot, and close-up, which are distributed in various time periods of the video. The present invention can effectively gather these scattered shots together according to their common characteristics, and extract the Keyframes belonging to the category of mid-range shots are used for sports video classification.

[0013] Such as figure 1 Shown, the present invention scheme divides the following steps:

[0014] (1), automatic shot segmentation and key frame extraction;

[0015] (2), extract the robustness feature of the key frame picture;

[0016] (3) Graph theory clustering algorithm based on adaptive threshold and main scene class selection;

[0017] (4), SVM classifier classification.

[0018] Here is a detailed description of each step:

[0019] 1. Auto...

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Abstract

The invention provides a method for classifying sports video based on a key frame of a main scene lens. The method only adopts the main scene to perform sports classification rather than classification by frames of the whole video to represent the sports video so as to effectively reduce the calculation amount of video classification. The method comprises the following steps that: firstly, the video is automatically divided into a plurality of fragments according to the lens, key frames of all the fragments are classified into a plurality of types including long shot, medium shot and close-up after subjected to adaptive threshold cluster based on graph theory, wherein the medium shot type is used as the main scene lens of the sports video, main scene information of the sports video, namely the medium shot, can be automatically and effectively extracted without depending on any prior information in the process; multiple interferences (such as judges, close-up of spectators, broadcasting effects, advertisement and other lens) in the sports video are removed; and finally, the key frame of the main scene lens is classified by an SVM classifier. The method has high accuracy for classifying the sports video.

Description

technical field [0001] The invention belongs to the field of multimedia information processing and retrieval, and is about a method for classifying sports videos. Its essence is a method for extracting key frames of main scene shots with representative information and then classifying them by clustering key frames of shots. Automatic robust and low computational complexity sports video processing method. Background technique [0002] Nowadays, with the development of computer technology and Internet technology, the multimedia information at our fingertips has shown an explosive growth, and this growth is getting faster and faster. The Internet has become a vast source of massive multimedia information. People can generate a large amount of video by recording sports video from cable TV or IPTV, or downloading from the Internet. This fast-growing video data has given birth to many video Internet applications: video sharing sites (such as Youtube abroad, Youku domestically, Tu...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 董远黄煜斌
Owner BEIJING UNIV OF POSTS & TELECOMM
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