Video abstract generation method and system based on adaptive weighted graph difference analysis
An adaptive weighting and difference analysis technology, applied in image communication, selective content distribution, special data processing applications, etc., can solve problems such as shot boundary misdetection, improve accuracy, enhance robustness and accuracy, The effect of reliable dissimilarity measures
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Embodiment 1
[0039] This embodiment provides a video abstract generation method based on adaptive weighted graph difference analysis;
[0040] like figure 1 As shown, the video summarization method based on adaptive weighted graph difference analysis includes:
[0041] S101: Obtain a video to be summarized;
[0042] S102: performing video representation based on graph modeling for the video to be summarized;
[0043] S103: Based on the video representation result, using adaptive metric weighting and adaptive threshold to detect video shot boundaries;
[0044] S104: Extract a key frame from each shot of the video for which the summary is to be generated.
[0045] As one or more embodiments, after the step of acquiring the video to be summarized, before the step of performing video representation based on graph modeling on the video to be summarized, further includes: S101-1 Pre-preparing the video to be summarized Processing; the preprocessing of the video to be summarized specifically ...
Embodiment 2
[0178] This embodiment provides a video summary generation system based on adaptive weighted graph difference analysis;
[0179] Video summarization system based on adaptive weighted graph difference analysis, including:
[0180] An acquisition module configured to: acquire a video to be summarized;
[0181] A video representation module configured to: perform video representation based on graph modeling for the video to be summarized;
[0182] A shot boundary detection module configured to: detect a video shot boundary using adaptive metric weighting and an adaptive threshold based on the video representation result;
[0183] A key frame extraction module configured to: extract a key frame from each shot of the video to be summarized.
[0184] It should be noted here that the above acquisition module, video presentation module, shot boundary detection module and key frame extraction module correspond to steps S101 to S104 in Embodiment 1, and the examples and application sc...
Embodiment 3
[0188] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.
[0189] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...
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