Remaster

Overview
VOD's remaster feature uses advanced restoration and enhancement AI algorithms to offer capabilities including image noise removal, outline restoration, super resolution, detail enhancement, color enhancement, and SDR to HDR conversion, while at the same time improving video resolution.
Capability
Description
Audio/Image noise removal
Removes the random noise introduced from the camera and the environment during video recording while maintaining audio/video details.
Artifact removal
Effectively repairs distortions caused by repeated compressions of videos during transcoding, such as blocking artifacts, ringing artifacts, color contamination, and mosquito noise.
Scratch removal
Removes scratches and spots caused by damage to the film during recording, storage, or transfer.
Detail enhancement
Makes the video image clearer by enhancing details which may have been compromised by the camera quality or during video saving or transcoding.
Overall enhancement
Uses AI-based analysis to improve the overall image quality by balancing image textures, removing compression artifacts, and enhancing key details.
Super resolution
Enhances and restores details in low-resolution videos with the help of an AI model and outputs high-resolution videos with clearer details.
Face enhancement
Enhances key facial features with the help of face recognition technologies.
Color enhancement
Restores video colors that may have been distorted due to camera problems or storage and enhances colors so they are more pleasing to viewers.
Low-light enhancement
Automatically recognizes scenes and adaptively enhances video images to increase details and contrast in dark areas and improve image quality, especially in low-light scenes.
HDR
Converts SDR videos to HDR and increases the color depth to up to 10 bits to represent a wider gamut and display more color details.
Frame interpolation
Adds additional video frames between existing ones to offer a smoother viewing experience and fix stuttering and shaky videos shot at low frame rates.
Use Cases
You can use VOD's remaster feature to improve the quality of user- or professionally generated videos, restore old videos, and generate 4K videos, among others.
Use Case
Description
UGC/PGC
The face enhancement capability increases the efficiency of content production by allowing users to quickly locate specific people from a large number of videos and obtain information including when a person starts to appear, where the person appears on an image, and how long the appearance lasts.
Video restoring
Artifacts and scratches are common in old videos due to the limitations of camera technologies at that time. VOD's remaster feature can restore video quality and bring your old videos back to life.
4K videos
VOD's remaster feature can convert ordinary videos to 4K using techniques including super resolution, frame interpolation, HDR conversion.
How to Use
Console
For detailed directions, see Media Management > Remaster.
APIs
1. For how to start a remaster task, see RebuildMedia.
2. For how to get the remastering result, see DescribeTaskDetail and PullEvents.
Billing Details
To learn about how the remaster feature is billed, see Remaster.

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Capability	Description
Audio/Image noise removal	Removes the random noise introduced from the camera and the environment during video recording while maintaining audio/video details.
Artifact removal	Effectively repairs distortions caused by repeated compressions of videos during transcoding, such as blocking artifacts, ringing artifacts, color contamination, and mosquito noise.
Scratch removal	Removes scratches and spots caused by damage to the film during recording, storage, or transfer.
Detail enhancement	Makes the video image clearer by enhancing details which may have been compromised by the camera quality or during video saving or transcoding.
Overall enhancement	Uses AI-based analysis to improve the overall image quality by balancing image textures, removing compression artifacts, and enhancing key details.
Super resolution	Enhances and restores details in low-resolution videos with the help of an AI model and outputs high-resolution videos with clearer details.
Face enhancement	Enhances key facial features with the help of face recognition technologies.
Color enhancement	Restores video colors that may have been distorted due to camera problems or storage and enhances colors so they are more pleasing to viewers.
Low-light enhancement	Automatically recognizes scenes and adaptively enhances video images to increase details and contrast in dark areas and improve image quality, especially in low-light scenes.
HDR	Converts SDR videos to HDR and increases the color depth to up to 10 bits to represent a wider gamut and display more color details.
Frame interpolation	Adds additional video frames between existing ones to offer a smoother viewing experience and fix stuttering and shaky videos shot at low frame rates.

Use Case	Description
UGC/PGC	The face enhancement capability increases the efficiency of content production by allowing users to quickly locate specific people from a large number of videos and obtain information including when a person starts to appear, where the person appears on an image, and how long the appearance lasts.
Video restoring	Artifacts and scratches are common in old videos due to the limitations of camera technologies at that time. VOD's remaster feature can restore video quality and bring your old videos back to life.
4K videos	VOD's remaster feature can convert ordinary videos to 4K using techniques including super resolution, frame interpolation, HDR conversion.

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Overview

Use Cases

How to Use

Console

APIs

Billing Details