Merge pull request #1507 from madeline-underwood/vvenc

Run the vvenc H.266 encoder on Arm servers_KB to review

Author: pareenaverma

content/learning-paths/servers-and-cloud-computing/vvenc/_index.md

@@ -1,21 +1,21 @@
 ---
-title: Run vvenc (H.266 encoder) on Arm servers
+title: Run the vvenc H.266 encoder on Arm servers
 
 author_primary: Willen Yang
 
 minutes_to_complete: 20
 
-who_is_this_for: This is an introductory topic for software developers who want to build and run the vvenc (H.266 encoder) project on Arm servers and measure the performance.
+who_is_this_for: This is an introductory topic for software developers who want to build and run the VVenC® (Fraunhofer Versatile Video Encoder) H.266 project on Arm servers and measure the performance.
 
 learning_objectives:
-- Build the vvenc (H.266 encoder) project on an Arm based server
-- Run vvenc on an Arm based server to encode a real 1080p video file and measure the performance
+- Build the VVenC® H.266 encoder project on an Arm-based server.
+- Run vvenc on an Arm-based server to encode a real 1080p video file and measure the performance.
 
 armips:
 - Neoverse
 
 prerequisites:
-- An Arm Linux system or an [Arm based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider. This Learning Path has been verified on Arm Neoverse N2 based Alibaba cloud ECS instance(g8y), running Ubuntu 22.04.
+- An Arm Linux system or an [Arm-based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider. This Learning Path has been tested on an Arm Neoverse N2-based Alibaba cloud ECS instance(g8y), running Ubuntu 22.04.
 
 operatingsystems:
     - Linux

content/learning-paths/servers-and-cloud-computing/vvenc/_next-steps.md

@@ -4,7 +4,9 @@
 # ================================================================================
 
 next_step_guidance: >
-    You can continue learning about building and running other codecs on Arm servers. The learning path on AV1 and VP9 is a great next step.
+    You can continue learning about building and running other codecs on Arm servers. 
+    
+    The Learning Path on AV1 and VP9 is a great next step.
 # 1-3 sentence recommendation outlining how the reader can generally keep learning about these topics, and a specific explanation of why the next step is being recommended.
 
 recommended_path: "/learning-paths/servers-and-cloud-computing/codec1/"

content/learning-paths/servers-and-cloud-computing/vvenc/_review.md

@@ -13,10 +13,10 @@
 review:
     - questions:
         question: >
-            Does vvenc(H.266 encoder) run on Arm servers?
+            Does the VVenC H.266 encoder run on Arm servers?
         answers:
-            - "Yes"
-            - "No"
+            - "Yes."
+            - "No."
         correct_answer: 1                     
         explanation: >
             H.266 codec is fully supported on 64-bit Arm servers running Linux.
@@ -25,11 +25,11 @@ review:
         question: >
             Does varying the preset settings on the images impact the codec performance?
         answers:
-            - "Yes"
-            - "No"
+            - "Yes."
+            - "No."
         correct_answer: 1                   
         explanation: >
-            You can vary the preset settings on the different resolution images and measure the impact on performance.
+            You can vary the preset settings on differing resolutions of images and measure the impact on performance.
                
 
 # ================================================================================

content/learning-paths/servers-and-cloud-computing/vvenc/vvenc.md

@@ -1,15 +1,21 @@
 ---
 layout: learningpathall
-title: Build and run vvenc (H.266 encoder) on Arm servers
+title: Build and run the H.266 VVenC encoder on Arm servers
 weight: 2
 ---
 
-## Overview
+## What is VVenC?
 
-`vvenc` is an open-source H.266/VVC encoder that offers very high compression efficiency and performance. There have been significant efforts made to optimize the open-source implementation of the H.266 encoder on Arm Neoverse platforms which supports Neon and SVE/SVE2 instructions. The optimized code for use with Arm Neoverse platforms is available on [Github](https://github.com/fraunhoferhhi/vvenc). 
+* [Versatile Video Coding](https://www.hhi.fraunhofer.de/en/departments/vca/technologies-and-solutions/h266-vvc/fraunhofer-versatile-video-encoder-vvenc.html) (VVC; officially approved as ITU-T H.266 | 23090-3) is the most recent international video compression standard of ITU-T and ISO/IEC.
+
+* `vvenc` is an open-source H.266/VVC encoder that offers very high compression efficiency and performance.
+
+* There have been significant efforts made to optimize the open-source implementation of the H.266 encoder on Arm Neoverse platforms that supports Neon and SVE/SVE2 instructions.
+
+* You can find the optimized code for use with Arm Neoverse platforms in the [vvenc Github Repository](https://github.com/fraunhoferhhi/vvenc). 
 
 ## Install dependencies
-On your Arm based server instance running Ubuntu 22.04, install the dependencies to build and run vvenc:
+On your Arm-based server instance running Ubuntu 22.04, install the dependencies to build and run vvenc:
 
 ```bash
 sudo apt update
@@ -31,7 +37,7 @@ git clone https://github.com/fraunhoferhhi/vvenc.git
 cd vvenc
 CXX=clang++-18 CC=clang-18 cmake -S . -B build/release-static -DVVENC_ENABLE_ARM_SIMD_SVE=1 -DVVENC_ENABLE_ARM_SIMD_SVE2=1
 ```
-Confirm that sve/sve2 has been enabled in the Makefile by looking at the output from the configuration step:
+Confirm that sve/sve2 has been enabled in the Makefile by checking the output from the configuration step:
 
 ```output
 root@iZuf61ixurqifmpxuji4viZ:~/vvenc-1.13.0# CXX=clang++-18 CC=clang-18 cmake -S . -B build/release-static -DVVENC_ENABLE_ARM_SIMD_SVE=1 -DVVENC_ENABLE_ARM_SIMD_SVE2=1
@@ -124,9 +130,9 @@ The project should build successfully and the end of the output should look like
 
 ## Download sample video files
 
-To benchmark the compression efficiency and performance of `vvenc`, you will need a set of video streams to run the codec on. 
+To benchmark the compression efficiency and performance of `vvenc`, you need a set of video streams to run the codec on. 
 
-Download sample `1080P` video files and uncompress them:
+Download sample `1080P` video files and decompress them:
 ```bash
 mkdir ../video && cd ../video
 wget http://ultravideo.cs.tut.fi/video/Bosphorus_1920x1080_120fps_420_8bit_YUV_Y4M.7z
@@ -146,9 +152,9 @@ You can vary the preset settings and measure the impact on performance.
 
 ## View Results
 
-The encoding Frame Rate (Frames per second) for the video files is output at the end of each run.
+The encoding Frame Rate, shown in fps (frames per second), for the video files is output at the end of each run.
 
-Shown below is example output from running the vvenc h.266 encoding on the 1080P sample video file:
+This is an example output from running the VVenC H.266 encoding on a 1080P sample video file:
 
 ```output
 vvencFFapp: VVenC, the Fraunhofer H.266/VVC Encoder, version 1.13.0 [Linux][clang 18.1.8][64 bit][SIMD=SVE2]
@@ -178,4 +184,4 @@ vvencFFapp [info]: finished @ Wed Dec 25 16:06:19 2024
 vvencFFapp [info]: Total Time:       58.962 sec. [user]       15.209 sec. [elapsed]
 ```
 
-You have successfully run the vvenc h.266 encoder on an 1080P sample video file and measured the performance.
+You have successfully run the VVenC H.266 encoder on an 1080P sample video file and measured the performance.