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Video copying detection method being suitable for IPTV

A video copy detection and video technology, applied in the field of video images, can solve problems such as difficulty in adaptation, high computational complexity, and unstable detection results

Inactive Publication Date: 2010-10-27
FUDAN UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Among the existing detection methods, the copy detection technology using global features has high computational efficiency, and can better deal with the problems of sharpness changes and artificially added graphics and texts. After proper processing, it can also detect brightness changes, but it does not The “picture in picture” problem is often helpless; while the detection technology using local features can deal with the “picture in picture” problem, and has good adaptability to brightness transformation and manual addition of graphics and texts, but its calculation complexity is high, and the detection results are vulnerable. The impact of video definition changes is not stable, and it is difficult to adapt to the requirements of IPTV applications

Method used

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  • Video copying detection method being suitable for IPTV
  • Video copying detection method being suitable for IPTV

Examples

Experimental program
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Embodiment Construction

[0049] figure 1 Flow chart of video copy detection for this system.

[0050] The steps for system testing are as follows:

[0051] 1. Database video construction. In order to detect that a video has video copy detection content, it is necessary to build a sample video library. For the target video to be detected, search for samples that meet the video copy standard in the sample video library. If found, the target video is considered to have video copy content. .

[0052] 2. Process database video. After the sample video library is constructed, each video contained in it is processed, and the processing process includes:

[0053] 1) Video "picture-in-picture" detection. The process of "picture-in-picture" detection can be completed by reading the video once. The specific steps are:

[0054] a) Read the current frame of the video and perform edge detection on it.

[0055] b) Set a window with a length of L frames, and the specific value of L may depend on the specific vid...

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Abstract

The invention belongs to the technical field of video images, in particular to a video copying detection method being suitable for IPTV, comprising the following steps: detecting 'picture in picture' of a video; dividing and gathering the video lens; calculating video frame similarity; and constructing video lens index by utilizing a K-means tree and the like. The method of the invention realizes rapid and efficient video copying detection by utilizing a concise and effective video frame similarity processing method and utilizing a K-means tree to construct lens index; and the method for performing the lens detection is not only rapid, but also has good detection accuracy and coverage rate.

Description

technical field [0001] The invention belongs to the technical field of video images, and in particular relates to a video copy detection method. Background technique [0002] With the rapid development of the Internet and wireless networks, massive digital video information has begun to enter our lives. Followed by more and more serious data redundancy and digital property rights problems, in recent years, the emergence of content-based copy detection (CBCD, Content-based Copy Detection) technology provides a recognition that can replace digital watermarking technology Methods of video and image copying. [0003] There are a variety of copy detection techniques that have emerged, and these methods have their own advantages and disadvantages when dealing with different data copy types. In modern digital TV applications such as IPTV (Internet Protocol TV) systems, the problem of video copying has its unique characteristics. [0004] Although all types of video copying may a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F17/30H04N5/21H04N7/24
Inventor 金城潘岩路红薛向阳
Owner FUDAN UNIV
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