Adaptive Media Asset Storage and Scheduling via Cloud-Local Sync
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Solution Overview
Problem
Existing media systems require users to inefficiently search and download media assets from remote servers for playback, leading to unsatisfactory user experiences due to the inefficiency in managing and accessing stored media assets.
Innovation Solution
A media guidance application dynamically downloads and schedules media assets based on user viewing progress, storing relevant assets locally and managing them adaptively, including forward recording and backward downloading of media assets related to participant interests from a cloud storage server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If media assets are stored on remote cloud storage server, then storage space is increased, but user access efficiency deteriorates due to constant search and download requirements
Solution Approach 1:
The system performs preliminary actions by automatically downloading media assets from cloud storage to local storage in advance of user viewing. The media guidance application monitors user viewing progress and proactively downloads upcoming episodes or seasons before the user requests them, eliminating the need for users to manually search and download content at the moment of viewing.
Solution Approach 2:
The system implements self-service by enabling the media guidance application to autonomously manage media asset downloads without requiring user intervention. The application automatically determines what content to download based on user viewing habits, downloads content in the background, and manages local storage, allowing the system to serve itself rather than requiring constant user commands.
2Speed
If media assets are downloaded to local storage for playback, then access speed is improved, but storage space at user equipment increases
Solution Approach 1:
The system applies partial action by downloading only the specific media assets that the user needs to watch, rather than downloading entire libraries. The media guidance application analyzes user viewing progress and downloads only the next episode or season required, avoiding unnecessary downloads of content the user will not watch, thus optimizing local storage usage while maintaining fast access speeds.
3Ease of operation
If user manually searches and downloads each media asset, then storage usage is optimized, but user convenience deteriorates due to manual operations
Solution Approach 1:
The media guidance application implements self-service by automatically monitoring user viewing progress, determining what content needs to be downloaded next, and executing downloads without user intervention. This eliminates the time users would spend manually searching for and downloading content while they watch, as the system autonomously prepares the next content in the background.
Solution Approach 2:
The system ensures continuity of useful action by maintaining an uninterrupted viewing experience. While the user watches content, the system continuously downloads the next episode or season in the background without interruption. This continuous background operation eliminates gaps in the viewing experience and removes the need for users to pause or manually intervene in the download process.
Data Source
AI summary
Systems and methods are disclosed herein for adaptive storage and scheduling of media assets. A user may request a media guidance application, which may be implemented at a set-top box of user equipment, to record or store a series of media assets relating to a participant of interest. The media guidance application may forwardly record a first set of scheduled media assets relating to a participant of interest of a user and backwardly download a second set of stored media assets relating to the participant of interest from a cloud storage server to a local storage unit at user equipment, and then download the stored media assets for watching.