Dynamic Video Compression for Device-Specific Ad Delivery
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Solution Overview
Problem
Existing video compression methods in online advertising fail to optimize video advertisements for specific devices and bandwidth conditions, leading to suboptimal performance and increased network jitter and buffering.
Innovation Solution
A dynamic video compression system that customizes video advertisements for specific devices and bandwidth conditions using mezzanine compression, adjusting video settings through VAST and VPAID processing to ensure optimal quality and format adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic video compression settings are used, then the advertisement can be played on a variety of devices, but the video is not optimized for the specific device receiving and playing the advertisement
Solution Approach 1:
The patent segments the video advertisement into multiple versions with different compression settings, resolutions, and formats. Each segmented version is optimized for specific device types (mobile, tablet, desktop, smart TV) and can be selectively delivered based on the target device characteristics, thereby resolving the contradiction between broad compatibility and device-specific optimization.
Solution Approach 2:
The patent implements dynamic video compression that adjusts compression parameters, bitrate, and encoding settings in real-time based on the target device's capabilities, network conditions, and content characteristics. This dynamic adaptation allows the system to optimize video quality for each specific device while maintaining broad compatibility across different device types.
2Loss of energy
If video bitrate is reduced for efficient transmission, then bandwidth consumption decreases, but network jitter and buffering increase
Solution Approach 1:
The patent dynamically changes multiple video encoding parameters including bitrate, resolution, frame rate, and compression level based on real-time network conditions and device capabilities. By adjusting these parameters adaptively, the system reduces bandwidth consumption for efficient transmission while maintaining sufficient quality to minimize network jitter and buffering, thus resolving the contradiction between energy efficiency and reliability.
3Loss of energy
If video is compressed before entering the ad ecosystem, then storage and transmission efficiency improve, but the ability to customize for specific devices and bandwidth conditions is lost
Solution Approach 1:
The patent performs preliminary compression of video advertisements to mezzanine quality before they enter the ad ecosystem, creating an efficient base version for storage and transmission. Simultaneously, the system prepares multiple pre-segmented versions with different compression settings. This preliminary action maintains storage and transmission efficiency while preserving customization capability, as the segmented versions can be selectively delivered based on specific device and bandwidth conditions.
Data Source
AI summary
Example embodiments of the disclosure may provide a recompressor system that configures dynamic Video Ad Serving Template (VAST) tags enabling seamless delivery of mezzanine-level quality video ads of the highest resolution compatible with the user's system requirements. Aspects of the disclosure relate to reprocessing of received VAST tag, parsing the tag to identify the location of the video of highest resolution, accessing the video of highest resolution and forwarding it to a compression engine (Euclid's in this case). Compression engine re-compresses video in one or more formats and sends back location(s) of the videos. Receiving back one or more video locations and an updated VAST tag and forwarding that.