A video data editing identification method and device
A technology of video data and recognition methods, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as difficulty in identifying whether it is an edited video or the original video, low success rate of manual recognition, high false detection rate of manual recognition, etc. Achieve the effect of stable recognition effect, wide application and simple process
Active Publication Date: 2019-04-16
广东理致技术有限公司
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Problems solved by technology
[0002] At present, computer video processing technology is more and more developed, and it is becoming more and more difficult to identify whether it is the original video after being processed by video editing software. At present, it is generally judged by manual identification, based on reflection, light and shadow, color, etc. Premiere, Pinnacle Studio, Pinnacle Edition, VideoStudio, Apple iMovie and other video editing software have been edited, modified and spliced. The false detection rate of manual recognition is very high, especially in the original video processed by some video optimization splicing algorithms. , light and shadow, color, contrast, saturation, color temperature, and brightness. The video frames undergo a smooth transition at the video splicing point, and the success rate of manual recognition is extremely low, especially when the video passes through the network transmission, calculation, storage and other links. Video encoding, compression, decoding and other routine operations make it more difficult to identify whether it is an edited video or the original video
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[0036] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below with reference to the embodiments and accompanying drawings, so as to fully understand the purpose, solutions and effects of the present disclosure. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.
[0037] like figure 1 Shown is a flow chart of a video data editing and recognition method according to the present disclosure, combined below figure 1 A method for identifying video data edits according to an embodiment of the present disclosure will be described.
[0038] The present disclosure proposes a video data editing and recognition method, which specifically includes the following steps:
[0039] Step 1, read the video to be identified and perform inter-frame difference to obtain the changing target in the video frame image; ...
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The invention discloses a video data editing identification method and device. The method comprises the following steps: reading a to-be-identified video and performing inter-frame difference to obtain a change target in a video frame image and establish a model; calculating the similarity between the change target model and the initial frame target model; searching an optimal change target matching area according to the similarity; calculating a change target position vector according to the change target matching area to judge whether the video data is edited or not; wherein the video is anoriginal video or an edited video processed by video editing software; whether the video data is edited or an original video can be judged; The method has the advantages that the identification effectis stable, the success rate is high, the load of the algorithm in an identification system is very small, the system overhead is low, the process is simple, and the method is relatively suitable forbeing applied to various low-power embedded devices or mobile devices, can also be applied to common computers, and is wide in application range.
Description
technical field [0001] The present disclosure relates to the technical field of computer video processing, in particular to a method and device for editing and identifying video data. Background technique [0002] At present, computer video processing technology is more and more developed, and it is becoming more and more difficult to identify whether it is the original video after being processed by video editing software. At present, it is generally judged by manual identification, based on reflection, light and shadow, color, etc. Premiere, Pinnacle Studio, Pinnacle Edition, VideoStudio, Apple iMovie and other video editing software have been edited, modified and spliced. The false detection rate of manual recognition is very high, especially in the original video processed by some video optimization splicing algorithms. , light and shadow, color, contrast, saturation, color temperature, and brightness. The video frames undergo a smooth transition at the video splicing po...
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IPC IPC(8): G06K9/00
CPCG06V20/41
Inventor 霍颖瑜梁欣荣罗振辉邹穗萍
Owner 广东理致技术有限公司