Video fingerprint extraction method based on SURF algorithm

A video fingerprint and extraction method technology, which is applied in computing, computer components, special data processing applications, etc., can solve the problems that video accuracy, robustness, and real-time performance cannot be taken into account at the same time, so as to reduce the amount of calculation and improve Accuracy and robustness, taking into account real-time effects

Active Publication Date: 2014-09-24
成都星亿年智慧科技有限公司
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AI Technical Summary

Problems solved by technology

However, the current fingerprint extraction algorithms based on video content often cannot take into account the accuracy, robustness and real-time performance of the video at the same time.

Method used

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  • Video fingerprint extraction method based on SURF algorithm
  • Video fingerprint extraction method based on SURF algorithm
  • Video fingerprint extraction method based on SURF algorithm

Examples

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Embodiment

[0045] figure 1 It is a flow chart of the video fingerprint extraction method based on the SURF algorithm in the present invention.

[0046] In this example, if figure 1 Shown, a kind of video fingerprint extraction method based on SURF of the present invention comprises the following steps:

[0047] S1), video feature extraction

[0048] S1.1), the selection of the candidate key frame: select the candidate key frame in the video by taking the step size as Δt and extracting one frame in T seconds;

[0049] In this embodiment, Δt=1sec, T=2sec; that is, one frame is extracted within two seconds, and the interval is one second;

[0050] S1.2), use the SURF algorithm to detect the feature points of the candidate key frame and calculate the number, discard the candidate key frame with the number of feature points less than M=200; discard the video candidate key with the number of feature points greater than or equal to M=200 Frame is as video key frame, and M is a constant, can...

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Abstract

The invention discloses a video fingerprint extraction method based on the SURF algorithm. Feature points of a video key frame are extracted through the SURF algorithm, a feature vector set of the feature points is generated, then clustering is performed on the generated feature point set using the K-means clustering algorithm, each clustering center is taken as a visual word of the video so as to generate a visual word set of the video, the visual words of the video are used to replace feature vectors of the original feature points in the key frame, and statistics is performed on the word frequency information of the visual words, the word frequency information of each key frame visual word is subjected to the quantification process and represented by a binary sequence, that is the fingerprint information of the key frame, and finally, the fingerprint information of all key frames are serially connected according to the timing sequence to generate the fingerprint information of the video. The video fingerprint extraction method has advantages of good accuracy and good robustness, and can get a certain balance in terms of the real-time performance.

Description

technical field [0001] The invention belongs to the technical field of video fingerprint and data retrieval, and more specifically relates to a video fingerprint extraction method based on SURF algorithm. Background technique [0002] With the development of Internet technology and the improvement of network transmission rate, the way people obtain information is undergoing significant changes. Among them, watching online video has become one of the main activities of Internet users in my country. However, whether the video content is safe and healthy It is related to the vital interests of the majority of netizens. [0003] Traditional video content security monitoring methods include manual judgment and digital watermarking technology. In the face of massive network video, the way of manual judgment seems powerless and easy to introduce subjectivity, which can no longer meet the needs of network video content security monitoring alone. Digital watermarking is an important...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/00G06F17/30
Inventor 徐杰李乾坤孙健张毅
Owner 成都星亿年智慧科技有限公司
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