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Convert MKV to MP4. Ffmpeg -i file.mkv check for streams that you want (video/audio). Be sure to convert/specify DTS 6 channel audio stream ffmpeg -i input.mkv -strict experimental -map 0:0 -map 0:1 -c:v copy -c:a:1 libmp3lame -b:a 192k -ac 6 output.mp4. Add Watermark overlay (png) to the center of a video. Step 3: Extract subtitles from MKV to ASS, SRT, SUB, etc. At last, click the Extract button to save subtitles from MKV to your computer. The subtitle will be extracted to ASS, SRT or SUB file format, depending on the original format of the caption in the MKV file. All-in-one Wondershare MKV.
To record sensor data, the Matroska (.mkv) container format is used, which allows for multiple tracks to be stored using a wide range of codecs. The recording file contains tracks for storing Color, Depth, IR images, and IMU.
Low-level details of the .mkv container format can be found on the Matroska Website.
Track Name | Codec Format |
---|---|
COLOR | Mode-Dependent (MJPEG, NV12, or YUY2) |
DEPTH | b16g (16-bit Grayscale, Big-endian) |
IR | b16g (16-bit Grayscale, Big-endian) |
IMU | Custom structure, see IMU sample structure below. |
Using third-party tools
Tools such as ffmpeg
or the mkvinfo
command from the MKVToolNix toolkit can be used to view and extract informationfrom recording files.
For example, the following command will extract the depth track as a sequence of 16-bit PNGs to the same folder:
The -map 0:1
parameter will extract track index 1, which for most recordings will be depth. If the recording doesn't contain a color track, -map 0:0
would be used.
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The -vsync 0
parameter forces ffmpeg to extract frames as-is instead of trying to match a framerate of 30 fps, 15 fps, or 5 fps.
IMU sample structure
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If IMU data is extracted from the file without using the playback API, the data will be in binary form.The structure of the IMU data is below. All fields are little-endian.
Field | Type |
---|---|
Accelerometer Timestamp (µs) | uint64 |
Accelerometer Data (x, y, z) | float[3] |
Gyroscope Timestamp (µs) | uint64 |
Gyroscope Data (x, y, z) | float[3] |
Identifying tracks
It may be necessary to identify which track contains Color, Depth, IR, and so on. Identifying the tracks is needed when working with third-party tools to read a Matroska file.Track numbers vary based on the camera mode and set of enabled tracks. Tags are used to identify the meaning of each track.
The list of tags below are each attached to a specific Matroska element, and can be used to look up the corresponding track or attachment.
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These tags are viewable with tools such as ffmpeg
and mkvinfo
.The full list of tags is listed on the Record and Playback page.
Tag Name | Tag Target | Tag Value |
---|---|---|
K4A_COLOR_TRACK | Color Track | Matroska Track UID |
K4A_DEPTH_TRACK | Depth Track | Matroska Track UID |
K4A_IR_TRACK | IR Track | Matroska Track UID |
K4A_IMU_TRACK | IMU Track | Matroska Track UID |
K4A_CALIBRATION_FILE | Calibration Attachment | Attachment filename |