End-to-end video copy detection method and device based on deep learning

A video copy detection and deep learning technology, applied in the fields of instruments, biological neural network models, character and pattern recognition, etc., can solve the problems of accurate detection of video copy judgment, inability to end-to-end, etc., to achieve a balance between accuracy and speed, accuracy and good speed effect

Active Publication Date: 2018-10-16
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] In order to solve the above problems in the prior art, that is, in order to solve the problem that there are multiple copy segments in the two videos, it is impossible to accurately detect the copy judgment...

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  • End-to-end video copy detection method and device based on deep learning
  • End-to-end video copy detection method and device based on deep learning
  • End-to-end video copy detection method and device based on deep learning

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Embodiment Construction

[0029] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0030] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0031] figure 1 A schematic flowchart of an embodiment of an end-to-end video copy detection method based on deep learning to which the present application can be applied is shown.

[0032] Such as figure 1 As shown, the end-to-end video copy detection method based on deep learning includes the following steps:

[0033] Step 1: Shot segmentation is per...

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Abstract

The invention relates to the field of video classification and provides an end-to-end video copy detection method based on deep learning, which aims to solve problems in the video copy detection, suchas it is difficult to detect multiple copy segments in two pieces of videos, positions of copy video segments cannot be accurately positioned and the like. The specific embodiment of the method includes the following steps: performing shot segmentation on two video segments to be detected which are used for video copy detection, so as to select key frames; recognizing selected a plurality of keyframes by using a pre-built copy relationship recognizing model, and determining a copy relationship among the key frames; constructing a copy relationship matrix of all the key frames of two segmentsof the to-be-detected videos, according to the obtained copy relationship among the key frames; using the copy relationship matrix as an input of the pre-built positioning recognition model, and positioning fragments that contain a copy relationship in the two segments of the to-be-detected videos. The end-to-end video copy detection method and device based on deep learning can quickly and efficiently detect the video fragments that have the copy relationship in the two segments of the to-be-detected videos.

Description

technical field [0001] The present invention relates to the technical field of network content security, in particular to the field of video classification, and in particular to an end-to-end video copy detection method and device based on deep learning. Background technique [0002] With the rapid development of network technology and the continuous introduction of new human ideas, the era of mobile Internet has followed, which makes more and more multimedia data presented in front of people. Representative video data is not only used for art dissemination and education, but also can be used to build databases for scientific research and commercial applications. At the same time, as an open communication medium, the Internet allows users to upload and download video data freely, without standardized management and constraints. The emergence of a large number of video editing software makes tampering of video data very common. This makes the video copyright issue huge unce...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/49G06N3/045G06F18/241
Inventor 李兵胡卫明张靖王博
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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