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

Active Publication Date: 2022-03-18
新华智云科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Nowadays, background music is added to the video when making a video, and the work of adding background music often requires the user to choose independently, and select the appropriate background music from the provided music library. At this time, the user needs to spend a lot of time and work efficiency is low.
Users also select background music randomly, but the randomly selected background music is often not suitable for the video, affecting the viewer's senses

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and system for intelligently recommending background music based on video multi-dimensional features
  • A method and system for intelligently recommending background music based on video multi-dimensional features
  • A method and system for intelligently recommending background music based on video multi-dimensional features

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for intelligently recommending background music based on multi-dimensional features of video, comprising the following steps: acquiring a video to be accompanied by music, extracting the video features of the video to be accompanied by music, performing labeling processing, and outputting the video feature label of the video to be accompanied by music According to the preset mapping relationship, the music style mapped to the video feature tag is extracted as the recommended style; the weight of each video feature tag is calculated, and the background music is extracted from the preset music material library according to the recommended style, and the The extracted background music is arranged according to the corresponding weight to generate a background music recommendation list. The present invention recommends background music for users based on video feature tags of videos to be accompanied by music, so that users do not need to select background music from a music material library, thereby improving work efficiency.

Description

technical field [0001] The invention relates to the technical field of video generation, in particular to a method and system for intelligently recommending background music based on multi-dimensional features of videos. Background technique [0002] Nowadays, background music is added to the video when making a video, and the work of adding background music often requires the user to choose independently, and select the appropriate background music from the provided music library. At this time, the user needs to spend a lot of time and work efficiency is low. Users also select background music by random selection, but the randomly selected background music is often not suitable for the video, which affects the viewer's senses. [0003] In summary, it is necessary to further improve the prior art. Contents of the invention [0004] Aiming at the shortcomings in the prior art, the present invention provides a method and system for intelligently recommending background musi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/783G06F16/68G06F40/30G06V20/40
CPCG06F16/7834G06F16/7844G06F16/7837G06F16/686G06V20/46G06V20/41
Inventor 吴敏丽
Owner 新华智云科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap