18411720. AUTOMATED PREVIEW GENERATION FOR VIDEO ENTERTAINMENT CONTENT simplified abstract (Amazon Technologies, Inc.)
AUTOMATED PREVIEW GENERATION FOR VIDEO ENTERTAINMENT CONTENT
Organization Name
Inventor(s)
Kumar Keshav of Bangalore (IN)
AUTOMATED PREVIEW GENERATION FOR VIDEO ENTERTAINMENT CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18411720 titled 'AUTOMATED PREVIEW GENERATION FOR VIDEO ENTERTAINMENT CONTENT
- Simplified Explanation:**
A system extracts emotion-related features from video segments to generate a preview. Segments are chosen based on emotion-based filtering criteria and assigned suitability scores. These scores are used to create a preview for the video.
- Key Features and Innovation:**
- Extraction of emotion-related features from video segments
- Selection of segments based on emotion-based filtering criteria
- Assignment of weighted preview-suitability scores to segments
- Creation of a preview based on the scores
- Potential Applications:**
This technology could be used in video streaming platforms to generate personalized previews for users based on emotional content.
- Problems Solved:**
This technology addresses the challenge of creating engaging previews for videos by incorporating emotion-related features.
- Benefits:**
- Enhanced user engagement with video previews
- Personalized content recommendations based on emotions
- Improved user experience on video streaming platforms
- Commercial Applications:**
Potential commercial applications include video streaming services, online entertainment platforms, and digital marketing companies looking to create engaging video content.
- Questions about the Technology:**
1. How does the system determine the emotion-related features in video segments? 2. What metrics are used to calculate the weighted preview-suitability scores for the segments?
Original Abstract Submitted
A respective set of features, including emotion-related features, are extracted from segments of a video for which a preview is to be generated. A subset of the segments is chosen using the features and filtering criteria including at least one emotion-based filtering criterion. Respective weighted preview-suitability scores are assigned to the segments of the subset using at least a metric of similarity between individual segments and a plot summary of the video. The scores are used to select and combine segments to form a preview for the video.
