Nero desktop product – Page 5

Nero Video Motion Tracker FAQ

How to get a better tracking result?

To get better tracking results, you shall choose the proper target to track. The target shall have enough features for the application to distinguish between the target and the background. If you choose a plain color to track, the application will not be able to recognize the tracking area with the background. Before starting tracking, please preview your video and check if the target’s size changes much or not. If the target’s size does not change much, turn off the “Adaptive scaling“ option to get better accuracy and performance.

Video Extensions

Q: Why do I need to install the other video extensions from Microsoft Store?

A: The Motion Tracker uses a new 64-bit architecture based on the Microsoft Media Foundation technology which means the video decoding and encoding is different from Nero Video. Microsoft Media Foundation must use video extensions to decode and encode some videos like HEVC.

File Problems

Q1: Some videos can be imported to Nero Video but cannot be used in Motion Tracker, what should I do?

A: You can export the source video to AVC with the original resolution in Nero Video first. Then import the exported AVC video to Nero Video to do motion tracking.

Q2: Some video preview is not good/black/flickering in Motion Tracker, what should I do?

A: You can export the source video to AVC with the original resolution in Nero Video first. Then import the exported AVC video to Nero Video to do motion tracking.

Q3: The preview is different between the Nero Video and Motion Tracker, what should I do?

A: You can export the tracked result in Motion Tracker to video first. Then import the exported video to Nero Video to do further editing.

Hardware Acceleration

Q: What is the function of the “HWA“ button? Why is the button disabled sometime?

A: The “HWA“ button is used to switch between hardware acceleration and software acceleration during playback. When the hardware acceleration is enabled, the button’s color turns orange. The button will be disabled when the video codec does not support hardware or software acceleration.

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🛒 Click and Get Nero Platinum Suite

Changelog – Nero Score

3.2.1.41 (1.0.22.0 Microsoft Store version) – Add the “RAID” marker for the software mode RAID disks

3.2.1.30 (1.0.18.0 Microsoft Store version) – Support disk speed test to test the performance of SSD/HDD

The disk test has two modes: quick test and detailed test.

Quick test only tests the disk sequential read and write speed to let you know the difference of actual disk speed compared to the nominal speed in the specification and the performance when copying large files from one place to another.

Detailed test tests 4K random read and write speed additionally to let you know the disk performance when running applications (e.g video games) or system startup.

Disk score = (Sequential read + Sequential write)/2 + (4K random read + 4K random write)/2

3.2.1.13 – Support sign in with Nero Account and submits the score with your nickname.

3.2.1.10 – Removed the initialization time for AVC encoding and decoding tests to provide more accurate scores

3.2.1.2 – Added the Metaverse test to benchmark the 3D rendering frame rate of the GPU

Nero Score = (CPU score + GPU score)/2

CPU score = (CPU AI + CPU AVC)/2

GPU score = (GPU 3D + GPU AVC)/2

3.0.1.20 – Added AVC decoding/encoding test for GPU and CPU

Nero Score = (CPU score + GPU score)/2

CPU score = (CPU AI + CPU AVC) / 2

GPU score = GPU AVC

1.0.0.00 – Initial version with CPU-based AI inference test for photo tagging

Nero Score = CPU AI

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How close is your PC to the Metaverse?

What is the Metaverse?

The metaverse is a shared virtual 3D world, or worlds, that are interactive, immersive, and collaborative. Just as the physical universe is a collection of worlds that are connected in space, the metaverse can be thought of as a bunch of worlds, too. People call metaverse the next iteration of the internet—one that we relate to not just by photos and videos and text, but by touch and interaction between elements rendered in Virtual or Augmented Reality that emulate real-world situations. If social media has been an important communication tool, then the “metaverse” could be the next frontier of connectivity and interaction.

Nero Score Metaverse Benchmark

Outstanding 3D real-time rendering capabilities will bring you a more immersive digital experience and bring us one step closer to the metaverse.

Nero Score now adds a new test unit for measuring the performance of 3D real-time rendering on graphics cards.

The GPU metaverse benchmark measures how many frames per second a 3D asset can be rendered on a given GPU. The results of this test will allow you to compare the scores of different GPUs in this domain. You can also compare the different performances that may exist between the AVC solution and the Metaverse solution on the same graphics card.

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Use Nero Score to compare the performance of your integrated and dedicated graphic cards!

If your system has two graphics cards, do you know how much better your independent graphic card will be than your dedicated graphic card when decoding or encoding AVC video files?

Previously, when Nero Score ran the AVC GPU test, it automatically picked the major graphic card from current system. Now you can choose which graphic card you want to do the AVC Decoding & Encoding test for before you start the test.

Get Nero Score latest version from Nero Start or score.nero.com.

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Nero Score adds new AVC Decoding and Encoding Test

Following the AI Tagging test, Nero Score is once again focusing its benchmarking tool on real-world AVC decoding and encoding tests. This is a test unit for measuring the performance of system codecs running AVC software and hardware decoding & encoding separately.

Compared with previous video compression standards, AVC achieves effective compression while minimizing distortion caused by the compression process. Today, AVC has become a relatively main codec for users in video playback, transcoding, and compression.

Most benchmarking of codecs on the market is often done using a tool that comes with the codec, which does not truly reflect the performance, for example, your movie playback using the system’s Movies & TV application, and it is hard to relate these benchmark results under specific conditions with real-world performance.

Nero Score’s ‘AVC Decoding and Encoding Test’ is a unit that measures codec performance using only the system’s own codecs, which is a more realistic reflection of your system’s performance without running third-party applications.

Nero Score AVC decoding and encoding test decodes and encodes a dedicated Ultra HD 4K video clip with the system’s own codecs to measure the processing power of your system’s CPU and GPU for AVC.

CPU/GPU AVC benchmarks and measures how many video frames per second can be processed with your system’s codec on the given CPU/GPU. The outcome of this test will let you compare how different CPUs/GPUs score in this domain. And you also can compare the CPU behaviors in AVC solution and AI inference solution.

The test produces a benchmark score for AVC decoding and transcoding as a measure of performance. As with the AI Tagging test, higher scores mean better performance. Here are some scores for reference:

AVC CPUs (software decoding & encoding)

AMD Ryzen Threadripper PRO 3995WX 64-Cores: 2343
AMD Ryzen Threadripper 3970X 32-Core Processor: 2033
12th Gen Intel Core i9-12900K: 1977

AVC GPUs (hardware decoding & encoding)

NVIDIA GeForce RTX 3080 Ti: 4045
NVIDIA GeForce RTX 3070: 3937
Radeon Pro Vega 56: 3155
Intel Iris Xe MAX Graphics: 2322

Start testing AVC decoding and encoding performance today! Get Nero Score latest version from Nero Start or score.nero.com.

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