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How Can I Rotate a Video or Image in Amped Replay?

Reading time: 3 min

Portrait of a smiling man with a beard shown upside down, featuring close-up facial detail with clear eyes, teeth, and hair

Dear friends, welcome to this summer edition of the “How do I do this?” blog series! Today we’re looking at how you can rotate a video or image. It’s an operation that is apparently trivial but may hide some pitfalls, keep reading!

In Amped Replay, go to the Enhance tab and activate the Rotate filter! You can pick one of the default rigid rotations, or manually set the amount.

Among the many operations you can do when enhancing a video or image, rotation is often considered very simple and perhaps less relevant. However, you should always keep in mind that, whatever processing you make, the “end user” of your enhanced footage will be a human. And humans perceive images through their eyes and brain, and they’re not used to see very tilted things.

Want an example? Take a look at this image: does it look right?

image of a guy upside down

Let’s now look at it after a 180° rotation:

Humorous edited portrait of a man with facial features inverted, eyes and mouth flipped

Even if you had spotted something wrong in the first image, it’s surely much easier to spot it in the rotated version. This is because we obviously don’t see faces upside-down very often.

How to Rotate a Video or Image in Amped Replay

All of this was to say: if you’ve got a license plate that is upside down, or perhaps vertically oriented, it’s a very good idea to bring it to a more “natural” orientation. It couldn’t be easier with Amped Replay! All you need to do is click on the Enhance panel and activate the Rotate filter.

Amped Replay video enhancement interface showing rotation adjustment tool with angle slider and preset options (0°, 90°, 180°, 270°) highlighted

As you can see, there are two ways to use this filter.

  1. First, you can choose one of the pre-set “rigid” rotation values (90, 180, or 270 degrees, counter-clockwise).
  2. Second, you can drag the slider and rotate a video or image by a custom amount.

Just keep in mind one thing! If pixel accuracy is important for your case, limiting to the pre-set rigid rotations has the advantage that pixel values will not be changed in any way. Pixels will just be “re-ordered”. On the contrary, when you set a custom value such as 3, 42, or 189 (the actual value is irrelevant), pixel values will be re-computed because interpolation is needed. Moreover, using rigid rotations ensures that you maintain the original pixel size of the video (possibly swapping width and height, of course). When you rotate a video or image by a custom amount Replay will create a black frame around the picture, so that the pixel size will change, as shown below.

Conclusion

So, once more, it’s all a matter of your final goal. If you’re preparing an export for media release, you don’t really need pixel accuracy and you can rotate a video or image by whatever value. If you’re doing some forensic processing, instead, it is probably better to avoid tiny rotations that don’t make a real difference in interpretability.

That’s all for today! We hope you’ve found this issue on how to rotate a video or image with Amped Replay useful! Stay tuned and don’t miss the next ones. You can also follow us on LinkedIn, YouTube, and X: we’ll post a link to every new tutorial so you won’t miss any!


 Marco Fontani

Marco Fontani is the Forensics Director at Amped Software, a software company developing image and video forensic solutions for law enforcement agencies worldwide. He earned his MSc in Computer Engineering in 2010 and his Ph.D. in Information Engineering in 2014. His research focused on image watermarking and multimedia forensics. He participated in several research projects funded by the EU and EOARD, and authored/co-authored over 30 journal and conference proceedings papers. He has experience in delivering training to law enforcement and provided expert witness testimony on several forensic cases involving digital images and videos. He is a former member of the IEEE Information Forensics and Security Technical Committee, and he actively contributed to the development of ENFSI’s Best Practice Manual for Image Authentication.

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