The transcoding feature converts a video bitstream. It changes parameters of the source bitstream, such as codec, resolution, and bitrate, for playback on different devices in various network environments. For more information, please see Transcoding. The following benefits can be achieved with transcoding:
Supported transcoding formats:
|Input format||Container mode||WMV, RM, MOV, MPEG, MP4, 3GP, FLV, AVI, RMVB, TS, ASF, MPG, WEBM, MKV, 3U8, WM, ASX, RAM, MPE, VOB, DAT, MP4V, M4V, F4V, MXF, QT, OGG|
|Video codec||AV1, AVS2, H.264/AVC, H.263, H.263+, H.265, MPEG-1, MPEG-2, MPEG-4, MJPEG, VP8, VP9, QuickTime, RealVideo, Windows Media Video|
|Audio codec||AAC, ADPCM, AMR, DSD, MP1, MP2, MP3, PCM, RealAudio, Windows Media Audio, Vorbis|
|Output format||Container format||Video: FLV, MP4, HLS (M3U8 + TS), MXF|
|Audio: MP3, MP4, Ogg, FLAC, M4A|
|Image: GIF, WebP|
|Video codec||H.264/AVC, H.265/HEVC, AV1|
|Audio codec||MP3, AAC, FLAC, MP2|
Audio/video editing includes video splicing and editing features as detailed below:
The video AI of VOD has various AI-powered features such as intelligent video recognition and intelligent video analysis as detailed below:
Adaptive bitrate streaming refers to the process of transcoding a video and muxing it into adaptive bitstream for output. It involves audio/video files with various bitrates and a descriptive file (manifest).
A player can dynamically select the most appropriate bitrate for playback based on the current bandwidth. The adaptive bitrate streaming parameters can specify "video transcoding parameters" and "audio transcoding parameters" of each substream. VOD uses an adaptive bitrate streaming template to represent the set of parameters for easy configuration. For more information, please see Adaptive Bitrate Streaming. Adaptive bitrate streaming has the following benefits:
The Tencent Extreme Speed High Definition (TESHD) feature of VOD uses video AI algorithms to recognize videos based on video scene category and selects the optimal encoding parameters by accessing various factors such as original bitrate, frame rate, resolution, texture, motion variation, server load, and ROI detection, which can effectively improve the video quality and reduce bandwidth loss.
Leveraging the intelligent dynamic encoding technology integrated with intelligent scenario recognition, dynamic encoding matching, and image quality restoration and enhancement, TESHD enables video businesses such as live video broadcasting and video on demand to provide higher-definition streaming services at lower bitrates, thereby delivering a new HD video experience.