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A video content and content technology, applied in the field of information processing, can solve the problems of difficult threshold, low accuracy of similarity judgment, large amount of comparison calculation, etc., achieve high accuracy, reduce deduplication workload, and improve deduplication efficiency effect
Active Publication Date: 2020-03-13
XIAMEN MEET YOU INFORMATION TECH
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The current method for judging the repeatability of video content is mainly: cosine similarity algorithm, but the cosine similarity algorithm has the problems of large amount of comparison calculation, low efficiency and difficult threshold value determination, and its similarity judgment accuracy is not high
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Embodiment 1
[0043] Embodiment 1 of the present invention provides a method for judging repetition of video content, figure 1 It is an implementation flowchart of a video content repetition judging method provided by an embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:
[0044] S1: Establish a picture similarity judgment model, wherein the picture similarity model includes: picture comparison value calculation and picture similarity judgment.
[0045] S2: Generate a video content comparison database, specifically: collect video sample content, use the image similarity judgment model to calculate the comparison value information of the sample frame pictures of each video sample content, and generate a video content comparison data set, which is mainly used for repeated Judging by the comparison video library.
[0046] S3: Generate target video content comparison value information: specifically: use the picture similarity judgment ...
Embodiment 2
[0068] This embodiment provides a device for judging repetition of video content, which is used to implement the method described in Embodiment 1, such as Figure 5 As shown, it is a structural block diagram of the device for judging video content repetition in this embodiment, including:
[0069] Image similarity judgment model building module 10: used to establish a picture similarity judgment model, wherein, the picture similarity model includes: image comparison value calculation and image similarity judgment process;
[0070] Generating a comparison data set module 20: used to calculate the comparison value information of each video sample content by using the picture similarity judgment model, and generate a video content comparison data set;
[0071] Calculating the target comparison value module 30: used to calculate the comparison value information of the target video content using the picture similarity judgment model;
[0072] Judgment repetition state module 40: u...
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Abstract
The invention discloses a video content repetition judgment method and a device. The method comprises the following steps: establishing a picture similarity judgment model comprising a picture comparison value calculation process and a picture similarity judgment process; calculating sample frame comparison value information of each video sample content by utilizing a picture similarity judgment model; generating a video content comparison data set; calculating picture frame comparison value information of the target video content by utilizing a picture similarity judgment model; and finally,comparing the comparison value information of the target frame picture with the comparison value information of the sample frame picture of the video sample content, and judging the repetition condition between the target video content and the video content comparison data set according to a video deduplication strategy. The picture similarity judgment method is quick and high in accuracy, video content duplication elimination is summarized into similarity judgment of different frames of pictures, for massive video content, key information is extracted, duplication elimination workloads are reduced, and the duplication elimination efficiency of the video content is greatly improved.
Description
technical field [0001] The invention relates to the field of information processing, in particular to a method and device for judging repetition of video content. Background technique [0002] Currently, the Internet is flooded with massive video content, including a large amount of repetitive content. These duplicate contents waste a lot of storage resources. In order to save storage resources, it is necessary to remove duplicate video content on the Internet. With the popularization of various natural language processing applications such as computer image information, people need an effective and accurate method to calculate the similarity between two video contents. The current method for judging the repeatability of video content is mainly: the cosine similarity algorithm, but the cosine similarity algorithm has the problems of large amount of comparison calculation, low efficiency and difficult to determine the threshold, and its similarity judgment accuracy is not h...
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