Media Encoding System Tailoring Compression to Playback Environments
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Solution Overview
Problem
Traditional media encoding methods are inefficient as they apply general compression standards to media streams without considering the specific playback environment, leading to either unnecessary bandwidth usage or incomplete data transmission, which can impair the user experience.
Innovation Solution
A system and method that determine the characteristics of the playback environment and select the optimal compressed version of media files to match those capabilities, optimizing bandwidth usage and ensuring only perceivable data is transmitted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If general compression standards are applied to media streams, then bandwidth usage is reduced, but playback quality deteriorates due to transmission of unnecessary data
Solution Approach 1:
The patent applies local quality by tailoring the compression characteristics to specific playback environments. Different portions of the media stream are encoded with different compression levels based on the capabilities of the target playback device. For example, audio data is encoded with frequency responses matched to the specific speaker or headphone characteristics, ensuring optimal quality for each device while efficiently using bandwidth.
2Manufacturing precision
If high-quality uncompressed media is transmitted, then playback quality is maintained, but bandwidth consumption increases unnecessarily
Solution Approach 1:
The patent employs parameter changes by dynamically adjusting encoding parameters such as bitrate, sampling rate, and frequency response based on the playback environment characteristics. The system analyzes the capabilities of the target device and modifies the media encoding parameters accordingly, transforming the media representation to match the playback capabilities while maintaining perceived quality and reducing bandwidth usage.
3Loss of energy
If media is compressed for specific devices, then bandwidth usage is optimized, but device complexity increases due to need for multiple encoded versions
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing multiple versions of media content encoded for different playback environments. The system prepares various encoded versions in advance, each optimized for specific device characteristics, so that when a playback request is received, the appropriate pre-encoded version can be quickly selected and transmitted without requiring complex real-time encoding decisions.
4Device complexity
If general encoding is used, then system complexity is kept simple, but user experience deteriorates due to mismatched audio-visual synchronization
Solution Approach 1:
The patent employs dynamics by making the encoding system adaptive to different playback environments. Rather than using fixed general encoding, the system dynamically selects and applies appropriate encoding parameters based on the characteristics of the target playback device. This dynamic adaptation ensures proper audio-visual synchronization and optimal user experience while managing system complexity through automated device characterization and encoding selection.
Data Source
AI summary
The disclosed system may include various modules that are stored in memory and executed by a physical processor. The disclosed system may (1) receive a request to stream presentation data to a computing device, (2) determine at least one characteristic of the computing device in connection with the request, (3) identify a compressed version of the presentation data that corresponds to the characteristic of the computing device, and then (4) stream the compressed version of the presentation data to the computing device to facilitate presentation of the presentation data to a user of the computing device. Various other systems, devices, and methods are also disclosed.