SHENZHEN SKYWORTH-RGB ELECTRONIC CO., LTD. (20240251131). VIDEO PUSHING METHOD, VIDEO PUSHING DEVICE AND STORAGE MEDIUM simplified abstract
Contents
VIDEO PUSHING METHOD, VIDEO PUSHING DEVICE AND STORAGE MEDIUM
Organization Name
SHENZHEN SKYWORTH-RGB ELECTRONIC CO., LTD.
Inventor(s)
VIDEO PUSHING METHOD, VIDEO PUSHING DEVICE AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240251131 titled 'VIDEO PUSHING METHOD, VIDEO PUSHING DEVICE AND STORAGE MEDIUM
The abstract describes a method, device, and storage medium for pushing videos based on scene recognition results from multimedia files played on a display interface.
- Obtaining audio-video information of a multimedia file being played.
- Performing scene recognition on the audio-video information using a preset model.
- Determining a video pushing category based on the scene recognition result.
- Pushing a video according to the determined category.
Key Features and Innovation:
- Utilizes scene recognition to categorize videos for pushing.
- Enhances user experience by providing relevant video content.
- Automates the process of video pushing based on scene analysis.
Potential Applications:
- Personalized video recommendations.
- Targeted advertising based on scene recognition.
- Content delivery optimization for streaming services.
Problems Solved:
- Improves video recommendation accuracy.
- Increases user engagement with relevant video content.
- Streamlines the process of video pushing based on scene analysis.
Benefits:
- Enhanced user experience.
- Increased viewer engagement.
- Efficient video content delivery.
Commercial Applications:
- Video streaming platforms.
- Digital advertising agencies.
- Content recommendation services.
Questions about the technology: 1. How does the scene recognition model determine the video pushing category? 2. What are the potential limitations of using scene recognition for video pushing?
Frequently Updated Research: There may be ongoing research in the field of video content recommendation systems and scene recognition technology that could further enhance the capabilities of this video pushing method.
Original Abstract Submitted
disclosed are a video pushing method, a video pushing device and a storage medium. the video pushing method includes obtaining audio-video information of a multimedia file played on a display interface; performing scene recognition on the audio-video information through a preset scene recognition model to obtain a scene recognition result; and determining a video pushing category according to the scene recognition result, and pushing a video according to the video pushing category.
