17854188. GENERATING BOUNDARY POINTS FOR MEDIA CONTENT simplified abstract (Amazon Technologies, Inc.)
Contents
- 1 GENERATING BOUNDARY POINTS FOR MEDIA CONTENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING BOUNDARY POINTS FOR MEDIA CONTENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
GENERATING BOUNDARY POINTS FOR MEDIA CONTENT
Organization Name
Inventor(s)
Abhishek Kumar of Bothell WA (US)
Yongjun Wu of Bellevue WA (US)
Sitaraman Ganapathy of Issaquah WA (US)
Vasanthakumar Soundararajan of Seattle WA (US)
Varun Chadha of Seattle WA (US)
GENERATING BOUNDARY POINTS FOR MEDIA CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17854188 titled 'GENERATING BOUNDARY POINTS FOR MEDIA CONTENT
Simplified Explanation
The abstract describes a system and method for generating boundaries to interleave additional content into media content, specifically video content. The system uses computer vision algorithms to generate time stamps for the video portion, including identifying IDR frames. These time stamps are then used to determine boundaries for interleaving additional content based on a priority algorithm.
- Unencrypted encode of video portion generated
- First set of time stamps generated using computer vision algorithm
- Second set of time stamps generated for identifying IDR frames
- Third set of time stamps generated for interleaving additional content based on priority algorithm
- Video portion encoded using third set of time stamps to determine IDR frames
Potential Applications
This technology could be applied in video editing software to seamlessly integrate additional content into existing media content. It could also be used in video streaming services to dynamically insert ads or other content into videos.
Problems Solved
This technology solves the problem of efficiently and effectively interleaving additional content into media content without disrupting the viewing experience. It also addresses the challenge of identifying key frames in video content for accurate content insertion.
Benefits
The benefits of this technology include improved user engagement by providing relevant additional content, increased monetization opportunities through targeted content insertion, and enhanced viewing experiences with seamless integration of additional content.
Potential Commercial Applications
One potential commercial application of this technology is in online video platforms that rely on advertising revenue. By using this system, these platforms can optimize ad insertion and increase revenue. Additionally, video editing software companies could integrate this technology to offer advanced content editing features to users.
Possible Prior Art
One possible prior art could be existing video editing software that allows for the insertion of additional content into videos. However, the specific use of computer vision algorithms to generate time stamps for content insertion may be a novel aspect of this technology.
Unanswered Questions
How does this technology handle different video formats or resolutions?
The abstract does not provide information on how the system adapts to various video formats or resolutions. It would be important to understand if the technology is limited to specific formats or if it can be applied universally.
What impact does the interleaving of additional content have on the overall file size of the media content?
The abstract does not mention how the interleaving of additional content affects the file size of the media content. It would be relevant to know if there are any implications for storage or streaming purposes.
Original Abstract Submitted
Systems and methods described herein provide for novel boundary generation features for interleaving additional content into media content. Media content may be received which includes a video and audio portion. An unencrypted encode of the video portion may be generated. A first set of time stamps for the video portion may be generated using a computer vision algorithm. A second set of time stamps for the video portion may be generated for identifying IDR frames using a first algorithm. A third set of time stamps may be generated to serve as boundaries for interleaving additional content into the media content based on a priority algorithm that uses the first set of time stamps and the second set of time stamps. The video portion may be encoded using the third set of time stamps to determine the IDR frames for the media content.
