SalesTing, Inc. (20240281462). CONTENT SUMMARIZATION LEVERAGING SYSTEMS AND PROCESSES FOR KEY MOMENT IDENTIFICATION AND EXTRACTION simplified abstract
CONTENT SUMMARIZATION LEVERAGING SYSTEMS AND PROCESSES FOR KEY MOMENT IDENTIFICATION AND EXTRACTION
Organization Name
Inventor(s)
Piyush Saggi of Atlanta GA (US)
Nitesh Chhajwani of Atlanta GA (US)
Thomas Ploetz of Atlanta GA (US)
CONTENT SUMMARIZATION LEVERAGING SYSTEMS AND PROCESSES FOR KEY MOMENT IDENTIFICATION AND EXTRACTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240281462 titled 'CONTENT SUMMARIZATION LEVERAGING SYSTEMS AND PROCESSES FOR KEY MOMENT IDENTIFICATION AND EXTRACTION
The abstract describes a system or process that can generate a summarization of multimedia content by identifying salient moments within the content.
- Multimedia content is received and frames, audio, visual, and metadata elements are extracted from it.
- Importance sub-scores are generated for each frame based on different analytical modalities.
- These sub-scores are aggregated into an importance score for each frame, which are then ranked by importance.
- Top-ranked frames are identified and arranged into moment candidates, which are further ranked for importance.
- A final summarization of the multimedia content is created by merging a subset of the top-ranked moment candidates.
Potential Applications: - Video editing software - Content recommendation systems - Media analysis tools
Problems Solved: - Efficient summarization of large amounts of multimedia content - Identification of key moments within videos
Benefits: - Saves time for content creators and editors - Helps users quickly find relevant information within multimedia content
Commercial Applications: Title: Advanced Multimedia Summarization Technology for Content Creation and Analysis This technology can be used in video editing software to help users quickly create summaries of long videos for social media or marketing purposes. It can also be integrated into content recommendation systems to provide users with personalized video recommendations based on key moments within videos.
Questions about Multimedia Summarization Technology: 1. How does this technology improve the efficiency of video editing processes? 2. What are the key factors that determine the importance of frames in multimedia content?
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to improve the accuracy and speed of multimedia content summarization. Stay updated on recent advancements in this field to leverage the latest innovations in your projects.
Original Abstract Submitted
a system or process may generate a summarization of multimedia content by determining one or more salient moments therefrom. multimedia content may be received and a plurality of frames and audio, visual, and metadata elements associated therewith are extracted from the multimedia content. a plurality of importance sub-scores may be generated for each frame of the multimedia content, each of the plurality of sub-scores being associated with a particular analytical modality. for each frame, the plurality of importance sub-scores associated therewith may be aggregated into an importance score. the frames may be ranked by importance and a plurality of top-ranked frames are identified and determined to satisfy an importance threshold. the plurality of top-ranked frames are sequentially arranged and merged into a plurality of moment candidates that are ranked for importance. a subset of top-ranked moment candidates are merged into a final summarization of the multimedia content.
