Sirius XM Radio Inc. (20240379131). SERVER SIDE CROSSFADING FOR PROGRESSIVE DOWNLOAD MEDIA simplified abstract
Contents
SERVER SIDE CROSSFADING FOR PROGRESSIVE DOWNLOAD MEDIA
Organization Name
Inventor(s)
Raymond Lowe of Chester NJ (US)
Christopher Ward of Glen Ridge NJ (US)
SERVER SIDE CROSSFADING FOR PROGRESSIVE DOWNLOAD MEDIA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240379131 titled 'SERVER SIDE CROSSFADING FOR PROGRESSIVE DOWNLOAD MEDIA
The present invention provides systems and methods for implementing and facilitating cross-fading, interstitials, and other effects/processing of multiple media elements in a personalized media delivery service to ensure a high-quality experience for each user.
- Cross-fade processing can occur on the broadcast, publisher, or server-side, personalized to each user, minimizing processing burden on the client device.
- Effects can be implemented in the compressed domain to avoid quality loss from re-encoding.
- Large-scale personalized content delivery can be achieved by processing only the first and last chunks of a file.
- Cloud computing technology can be utilized for efficient processing of media elements.
- Local processing by broadcasters can also be employed to manage peak loads effectively.
- Potential Applications:**
- Personalized streaming services - Online video platforms - Music streaming services
- Problems Solved:**
- Ensuring consistent high-quality user experience - Minimizing processing burden on client devices - Efficiently implementing cross-fading and other effects in media delivery
- Benefits:**
- Enhanced user experience - Scalability for large-scale content delivery - Efficient processing of media elements
- Commercial Applications:**
Title: Personalized Media Delivery Technology for Enhanced User Experience This technology can be utilized by streaming platforms, online broadcasters, and music services to provide a personalized and high-quality user experience, leading to increased user engagement and retention.
- Questions about Personalized Media Delivery Technology:**
1. How does personalized cross-fading enhance the user experience in media delivery services?
- Personalized cross-fading ensures smooth transitions between media elements, creating a seamless and enjoyable viewing/listening experience for users.
2. What are the potential challenges in implementing cloud computing for processing media elements in a personalized content delivery service?
- Cloud computing may face challenges related to data security, latency, and scalability when processing large volumes of media elements for personalized delivery.
Original Abstract Submitted
in exemplary embodiments of the present invention systems and methods are provided to implement and facilitate cross-fading, interstitials and other effects/processing of two or more media elements in a personalized media delivery service so that each client or user has a consistent high quality experience. the effects or crossfade processing can occur on the broadcast, publisher or server-side, but can still be personalized to a specific user, thus still allowing a personalized experience for each individual user, in a manner where the processing burden is minimized on the downstream side or client device. this approach enables a consistent user experience, independent of client device capabilities, both static and dynamic. the cross-fade can be implemented after decoding the relevant chunks of each component clip, processing, recoding and rechunking, or, in a preferred embodiment, the cross-fade or other effect can be implemented on the relevant chunks to the effect in the compressed domain, thus obviating any loss of quality by re-encoding. a large scale personalized content delivery service can be implemented by limiting the processing to essentially the first and last chunks of any file, since there is no need to processing the full clip. in exemplary embodiments of the present invention this type of processing can easily be accommodated in cloud computing technology, where the first and last files may be conveniently extracted and processed within the cloud to meet the required load. processing may also be done locally, for example, by the broadcaster, with sufficient processing power to manage peak load.
