Scenario Two: CAPE Application in Live Streaming Push Flow

In live streaming scenarios, the application of CAPE (Content-Aware Processing Engine) was implemented to address the challenge of limited mobile device computing resources. The analysis steps were reduced to once per second, focusing on time and space complexity, along with basic feature extraction. The primary difficulty arose from the use of hardware encoders (like iOS VideoToolbox) with limited configurable parameters. To mitigate this, hardware-recommended encoding parameters were provided to minimize wasted bitrate during scene transitions or in talk-show scenarios.

Following the deployment of CAPE in live streaming, the push stream bitrate was reduced by approximately 10%. QoE (Quality of Experience) showed no significant changes, while QoS (Quality of Service) benefits reached nearly 10%. This improvement provided broadcasters with a more seamless live streaming experience.

The article concludes by emphasizing the team's commitment to standardizing and generalizing video processing technologies across massive video business operations. With the advent of 5G and AI, the team plans to further optimize cloud-based audio and video processing capabilities, breaking technical barriers and exploring innovative business solutions.