Release Notes
Announcements
Online Education Scenarios
Overview
The online education industry is transforming due to technology. With a growing user base and new tech, the focus is on maintaining teaching quality with limited bandwidth, cutting costs, and integrating new technologies. This document covers Tencent Cloud's Media Processing for education, helping users apply tech solutions to save costs and boost efficiency.
Scenarios
Clear and Stable Live Streaming Performance
Requirement Description: A clearer visual and stable audio quality are crucial for students to see blackboard content and understand courseware information without hindrance.
Solution: By leveraging terminal video encoding and audio noise reduction capabilities, we enhance the audio and video quality for teachers in online classes, ensuring clear visuals and stable sound. Utilizing ultra-fast transcoding and fast live streaming capabilities, we deliver low-latency, high-definition live streaming experiences.
AI Enhances Educational Quality
Requirement Description: AI should be used in and after class to improve education quality.
Solution: Employ the intelligent subtitle feature to display the instructor's lecture content as real-time captions, with the large model summary function, to generate a course summary and key points overview at the conclusion of the session, thereby enhancing the teaching outcome.
Enhancing the Broadcasting Experience for Instructors
By enhancing the encoding performance on the teacher's end and improving the audio noise reduction capabilities, the quality of audio and video streaming from the teacher's broadcasting interface can be optimized.
Feature | Description | How to use |
Terminal Video Codec SDK | Tencent's Top Speed Codec (TSC) terminal video encoder is designed for scenarios requiring low computational power, low latency, and high-quality image on the terminal side. Compared with hardware encoding, its advantages include: 1. Stable, reliable, and quick to start. 2. At the same quality level, it saves bitrate, enhances transmission stability, reduces downlink distribution bandwidth, and saves on storage costs. 3. At the same bitrate, it improves image quality and enhances user experience. 4. A rich set of features meets diverse business needs, such as using Regions of Interest (ROI) encoding to improve the image quality in the face region and dynamically adjusting encoding configuration to adapt to network fluctuations. | Step One: It is requisite to activate a trial License via the console Activate Test License or Procure an Official SDK License; Step Two: For technical integration, please refer to the Ultra HD Terminal Encoding SDK Integration process. |
Terminal Audio SDK | The Terminal Audio SDK, integrated on the client side, significantly enhances audio quality, eliminating echo and noise. The technology employed includes: 1. Adaptive Noise Suppression, Eliminate background noise components in the audio signal and reduce interference to enhance the perceptual quality of the voice. 2. Acoustic Echo Cancellation mainly addresses the echo problem in audio communication. 3. Automatic Gain Control responsible for adjusting the volume during the transmission of audio signals. 4. The terminal audio quality inspection capability enables the scoring of audio input quality, promptly identifying audio issues and providing alerts. | Step One: It is requisite to activate a trial License via the console Activate Test License or Procure an Official SDK License; Step Two: For technical integration, please refer to the Ultra HD Terminal Encoding SDK Integration process. |
Enhancing the Viewing Experience for Students
Feature | Description | How to use |
Top Speed Codec(TSC) Transcoding | TSC transcoding is an "Upgrade" version of standard video transcoding, capable of adaptively optimizing various videos to deliver a higher definition viewing experience with lower bandwidth. While ensuring or enhancing image quality, it saves more than 50% in bandwidth costs.。 | |
Quality Inspection | Media Quality Inspection Supports: Format Quality Inspection Video & Audio Content Quality Inspection No-Reference quality assessment This feature detects live stream issues, alerting operators for quick anomaly identification. For video-on-demand scenarios, it detects and scores content, integrating transcoding and enhancement features for problem resolution. | |
Video Enhancement | Leveraging the industry-leading AI processing models within MPS, alongside a plethora of applications in various business scenarios, the enhancement feature significantly elevates audio and video quality. Supports distributed real-time image quality enhancement, artifacts removal, noise reduction, color enhancement, detail enhancement, and face enhancement. In educational settings, it is possible to enhance video imagery by optimizing color representation, refining facial details, and improving the clarity of written content on boards.  | |
Cloud-based Stream Record | Traditional recording only captures visual effects, not audio and video content on the client side. To record exactly what is seen, it's necessary to use cloud-based Windows or Android to stream via Tencent Cloud Live Broadcasting, integrating with the recording module to create files. This feature can be utilized to generate course replays and teacher's presentations. | Please contact the business team to have Beta test. |
Smart Captions and Subtitles | The Smart Captions and Subtitles feature recognizes voices from videos or live streams in real-time, converts speech to subtitles, and translates them into various languages like Chinese, English, and Japanese-Korean. It's useful for live subtitles, video transcription for global distribution, and extracting subtitles from old films for restoration. The feature supports configuring HotWord for more accurate translations. In educational settings, the subtitle feature can be utilized to generate subtitles in real-time during live classroom sessions conducted by teachers; it can also be employed to add subtitles to on-demand videos, thereby enhancing the viewing experience for users. | |
LLM Summarize Tutorial | Leveraging the foundation of intelligent recognition, the large model summary is capable of generating concise summaries for video content. It automates the creation of key points and comprehensive summaries of course content.  | Refer to the LLM Summarize Tutorial documentation. |
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