The following additional packages will be installed: When exporting an image (reencoding for sharing or after editing) it will bake in the rotation to the image data, actually performing the rotation to the image. I believe HEIF works the same way (the container has a rotation atom). If you send the raw photo to something that ignores or doesn't understand EXIF rotation you'll see just the sensor's default orientation. When doing rotation I know the Photos app just changes the JPEG rotation flag in the EXIF data.
#Handbrake trim video length software
Any iOS software using AVKit can do the same lossless trims, I imagine most editors on iOS do. Only if you apply filters or crop the dimensions of the video will the trimmed clip be reencoded. The camera records video with really short GOPs so the trimming can be pretty accurate.
It seeks to the new start time and copies all the GOPs (group of pictures) to the new end point.
On iOS the trimming is done losslessly, when you trim a clip it basically does the same as what `ffmpeg` is doing here. It's like pass by reference instead of pass by value. Editors also expect to export a wholly new output from source so they don't need to make those intermediate clips. This doesn't necessarily make new trimmed clips as files on disk because that's expensive (storage and computation) depending on the video's codecs. Most video editing software (that I've ever used) supports making clips or setting in/out points in longer videos. (It's cringe, I was young and stupid, LOL) If someone wants to know a bit more, read this. It's history, it's made my career in some way, at least from my side, it was innovative for it's time, and made me nerdy-cool in school, both with other kids and the school staff. I then resold the technology a few times to some people who wanted the similar thing but wouldn't have the issues I had, then I moved on and forgot it all. In the end, the project collapsed due to non-technical issues, and me loosing interest and doing more legitimate and useful things. I instead remuxed files into TS container, indexed all the files, made JSON manifests, and had a network of reverse proxy "CDN" servers on continents that would pull the files from a few central servers, cache the small virtual chunks, which were created by reading byte offsets from the file and serving it as a "file" with PHP. This could've obviously been done with HLS or DASH, but that required remuxing the files and keeping lots of them. I re-created (I haven't invented this, obviously) a way to split the video file into keyframe segments and mark down the start byte offsets of the keyframes, and then I could "virtually" split the file for streaming, so that a user wouldn't 1) buffer the whole file, 2) need to have the whole file to share to others (P2P in the browser), 3) need to restart the stream and sharing if the connection broke.
Yes, indeed, I had worked on a small project of mine and needed a really efficient and cheap way to serve terabytes of data to a lot of users, fast.
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