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Media Processing Service
Audio/Video Cost Optimization Scenario
Last updated: 2025-03-21 15:24:03
Audio/Video Cost Optimization Scenario
Last updated: 2025-03-21 15:24:03

Overview

Live commerce, online education, remote conferencing, short videos, short dramas, and AI creation trends lead to more video content. Providers must balance efficiency and cost. Cost optimization is key for sustainability and competitiveness. Tencent Cloud Media Processing helps reduce processing and storage costs.

Requirements

The surge in video content has raised storage and data transmission costs, requiring tech solutions to reduce expenses.
Balancing the number of activated features is crucial in audio and video processing to avoid minimal optimization or high costs.
Differentiating video processing based on specific issues could maximize cost benefits.

Our Solutions

Leading Encoding Compression Capabilities

Supports encoding standards such as VP8, VP9, H.264, H.265, AV1, AVS3, H.266, etc., and supports real-time encoding for 4K and 8K, providing an ultra-high-definition and smooth video experience. While ensuring the subjective quality of the video, it saves 50% of bandwidth costs. For the past three years, it has consistently won first place in the MSU Video Coding Competition; it has also achieved the best overall performance in the Streaming Learning Center's encoding evaluation. You can experience the transcoding effects on our online demo page.


Within the Media Processing Console, a variety of audio and video transcoding templates have been made available for your convenience. Each template comes pre-configured with a set of transcoding parameters, allowing you to swiftly select the appropriate transcoding template tailored to your specific business scenario.

You may also create new templates to customize various parameters. For details on creating templates and configuring parameters, please refer to Audio and Video Transcoding Templates. For information on the costs associated with audio and video transcoding, please visit Billing Instructions.

On-Demand Processing Solution

Tencent Cloud's audio and video services provide high-quality transcoding and an on-demand "Quality Inspection + Transcoding & Enhancement" solution. To optimize costs, videos can be inspected before transcoding, allowing for a suitable template selection based on the inspection results.
Feature
Description
How to use
Quality Inspection
Media Quality Inspection Supports:
Format quality inspection: Detects format issues such as DTS, PTS problems, resolution changes, sampling rate changes, frame loss, and duplicate frames.
Video & Audio Content Quality Inspection: JitterResults, BlurResults, AbnormalLightingResults, CrashScreenResults, BlackWhiteEdgeResults, NoiseResults, MosaicResults etc.
No-Reference quality assessment
Refer to the Media Quality Inspection Integration documentation.
General transcoding/TSC transcoding/Adaptive bitrate streaming
1In on-demand processing scenarios, media assets are first inspected for quality. Based on this inspection, videos with format problems or high bitrates are transcoded, while those without issues skip this step, reducing transcoding costs.
Refer to the ProcessMedia documentation.

Evaluating after Transcode

Upon completion of the transcoding process, users can also quantitatively assess the transcoding results through the transcoding evaluation feature. Tencent Cloud Media Processing offers comprehensive transcoding evaluation capabilities, supporting VMAF, PSNR, SSIM, and VMAF-NEG scoring for videos from various sources and in multiple formats.

Classification
Feature
Description
How to use
On-demand video
Video quality evaluation
Adds the original video and the comparison video to perform video quality evaluation.
Supports evaluation methods including VMAF, PSNR, SSIM and VMAF-NEG.
Supports customizing the selection of a time period or range of frames for evaluation.
Refer to the User Guide documentation.
BD-Rate comparison evaluation
Selects a Media Processing Service template and evaluates the differences in video transcoding quality of different templates at various bitrates.
Supports evaluation methods including VMAF, PSNR, SSIM, and VMAF-NEG.
Supports customizing the selection of a time period or range of frames for evaluation.
Supports comparing evaluation scores at specified bitrates or comparing bitrates at a specified CRF (video quality score).
Refer to the User Guide documentation.
Live stream
Image quality
Supports real-time comparison and monitoring of image quality and bitrate changes before and after live stream transcoding.
Coming soon.


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