17809046. Systems and Methods for Video Genre Classification simplified abstract (Microsoft Technology Licensing, LLC)
Systems and Methods for Video Genre Classification
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Yonit Hoffman of Herzliya (IL)
Michael Ben-haym of Modiin (IL)
Eliyahu Strugo of Jerusalem (IL)
Systems and Methods for Video Genre Classification - A simplified explanation of the abstract
This abstract first appeared for US patent application 17809046 titled 'Systems and Methods for Video Genre Classification
Simplified Explanation
The present disclosure describes systems and methods for video genre classification. This technology analyzes video content to determine its genre using both audio and video features. Here are the key points:
- Video content is received and divided into multiple sliding windows.
- Each sliding window contains both audio and video data.
- The audio data is analyzed to identify a set of audio features.
- The video data is analyzed to identify a set of video features.
- These sets of audio and video features are then provided to a classifier.
- The classifier uses the features to detect the genre of the video content.
- The video content is indexed based on its genre.
Potential Applications
This technology has various potential applications, including:
- Video streaming platforms can use this classification system to automatically categorize and organize their video content based on genre.
- Content creators can utilize this technology to tag their videos with the appropriate genre, making it easier for users to discover and search for specific types of content.
- Video recommendation systems can benefit from accurate genre classification to provide personalized recommendations to users based on their preferences.
Problems Solved
This technology solves several problems related to video genre classification:
- Manual genre tagging of videos can be time-consuming and subjective. This system automates the process, saving time and ensuring consistency.
- Traditional genre classification methods often rely solely on either audio or video analysis, which may not provide accurate results. This technology combines both audio and video features for improved accuracy.
- With the increasing amount of video content available, it can be challenging for users to find specific genres of interest. This system helps in organizing and indexing videos based on their genre, making it easier for users to discover relevant content.
Benefits
The use of this technology offers several benefits:
- Efficient and automated genre classification saves time and resources for video platforms and content creators.
- Accurate genre classification enhances user experience by providing more relevant and personalized recommendations.
- Improved organization and indexing of video content based on genre improves discoverability and user engagement.
- The combination of audio and video features leads to more accurate genre detection compared to traditional methods.
Original Abstract Submitted
Examples of the present disclosure describe systems and methods for video genre classification. In one example implementation, video content is received. A plurality of sliding windows of the video content is sampled. The plurality of sliding windows comprises audio data and video data. The audio data is analyzed to identify a set of audio features. The video data is analyzed to identify a set of video features. The set of audio features and the set of video features is provided to a classifier. The classifier is configured to detect a genre for the video content using the set of audio features and the set of video features. The video content is indexed based on the genre.
