A method and system for intelligently recommending background music based on video multi-dimensional features
A technology of video features and background music, which is applied in the field of intelligently recommending background music based on multi-dimensional features of videos, can solve problems such as time-consuming, low work efficiency, and affecting the viewer's senses, and achieve the effect of reducing workload and improving work efficiency
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Embodiment 1
[0056]Embodiment 1. A method for intelligently recommending background music based on video multi-dimensional features, such as figure 1 shown, including the following steps:
[0057] S100. Acquire the video to be accompanied, extract the video features of the video to be accompanied, and perform tagging processing, output the video feature tags of the video to be accompanied, and extract the music mapped to the video feature tags according to a preset mapping relationship Style is used as a recommended style, and the video features include image features, voiceprint features and / or text features;
[0058] S200. Calculate the weight of each video feature tag, extract background music from a preset music material library according to the recommended style, and arrange the extracted background music according to corresponding weights to generate a background music recommendation list.
[0059] The above-mentioned preset music material library is a music material library classif...
Embodiment 2
[0134] Embodiment 2, increase label removal step in embodiment 1, all the other are equal to embodiment 1, specifically:
[0135] After the corresponding video feature tags are obtained in steps S120 to S140, the accuracy rate of each video feature tag is obtained, and the accuracy rate is compared with a preset accuracy rate threshold. When the accuracy rate is less than the preset accuracy rate threshold When , remove the corresponding video feature labels.
[0136] Those skilled in the art can set the preset accuracy threshold according to actual needs. In this embodiment, the accuracy threshold is 40%, that is, when the accuracy of the video feature tag is lower than 40%, the video feature Labels for weight calculation are also recommended for background music of the music style mapped to the video feature labels.
Embodiment 3
[0137] Embodiment 3. A system for intelligently recommending background music based on video multi-dimensional features, such as Figure 4 As shown, it includes a construction module 100, a feature processing module 200, a style recommendation module 300, a weight calculation module 400 and a music recommendation module 500;
[0138] The construction module 100 is used to collect background music, classify the background music based on the music style, and establish a music material library; it is also used to collect video feature tags and set up a tag database; it is also used for the video feature tags to be associated with the music style Mapping, get the mapping relationship;
[0139] The feature processing module 200 is used to obtain the video to be composed, extract the video features of the video to be composed, and perform labeling processing, and output the video feature label of the video to be composed, and the video features include image features, voiceprint fea...
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