Video copy detection method based on improved OM features

A video copy detection and video technology, applied in the field of video retrieval, can solve the problem that the accuracy is not as good as local features, and achieve the effect of rapid detection, improved accuracy, and improved detection speed.

Inactive Publication Date: 2016-05-25
PEKING UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Compared with local features, global features are faster and more efficient to calculate, but the accuracy is not as good as local features

Method used

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  • Video copy detection method based on improved OM features
  • Video copy detection method based on improved OM features
  • Video copy detection method based on improved OM features

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Embodiment Construction

[0018] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0019] A video copy detection method based on the improved OM feature of the present invention, the process is as follows figure 1 As shown, it specifically includes the following steps:

[0020] (1) The source video extracts improved OM features and builds an index.

[0021] In this embodiment, the video is first extracted by extracting one frame per second, and then the improved OM feature of the present invention is used to describe each video frame, and finally the improved OM feature is indexed. The following describes the improved OM feature calculation method in detail.

[0022] The improved OM feature in the present invention describes the spatial feature of the video frame image and the brightness change between the video frames, and is specifically composed of the features of each block of the video frame image, and its calculation method is sho...

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Abstract

The invention provides a video copy detection method based on improved OM features. The method comprises the steps that the improved OM features are extracted from a source video data set, and an index is established; the improved OM features are extracted from a query video, a source video most similar to the query video is calculated based on the index, and when the similarity value is larger than a set value, the source video is selected as a candidate source video; the number of sequence matching key frames between the candidate source video and the query video is calculated, whether the query video is a copy of the candidate source video or not is judged according to a threshold value, and the copied segment in the source video is positioned. According to the method, the spatial feature of a video frame image and the brightness change between video frames are taken into full consideration, and the spatial feature and the brightness change promote each other, so that video content is described more accurately, and consequently a higher accuracy rate of video copy detection is obtained.

Description

Technical field [0001] The invention relates to the field of video retrieval, in particular to a video copy detection method based on improved OM features. Background technique [0002] In recent years, with the development of the Internet and digital media technologies, Internet video data has shown an explosive growth trend, and the copyright protection of videos has become an urgent problem to be solved. There are two main methods for video copyright protection: digital watermarking and content-based copy detection. The digital watermark method adds special data that does not affect the visual content of the video to be protected, and achieves the purpose of copyright protection by tracking the hidden digital watermark data. However, this method requires additional processing for the protected video, and it is easy to be passed by others. Delete the watermark by encoding etc. to bypass detection. Content-based video copy detection does not rely on special data in the video. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/583
Inventor 彭宇新赵俊杰
Owner PEKING UNIV
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