update README.md and rephase some wording in scripts

Signed-off-by: roger mao <[email protected]>

Author: maozhong1

README.md

@@ -1 +1,77 @@
-# concurrent-video-anlalytic-pipeline-optimzation-sample
+# Concurrent Video Analytic Pipeline Optimzation Sample 
+Support users to quickly setup and adjust the core concurrent video analysis workload through configuration file to obtain the best performance of video codec, post-processing and inference based on Intel® integrated GPU according to their product requirements.
+Users can use the sample application video_e2e_sample to complete runtime performance evaluation or as a reference for debugging core video workload issues.
+
+## Typical workloads
+Sample par files can be found in par_files directory. Verfied on i7-8559U. Performance differs on other platforms.
+* 16 1080p H264 decoding, scaling, face detection inference, rendering inference results, composition, saving composition results to local H264 file, and display
+* 4 1080p H264 decoding, scaling, human pose estimation inference, rendering inference results, composition and display
+* 4 1080p H264 decoding, scaling, vehicle and vehicle attributes detection inference, rendering inference results, composition and display
+* 16 1080p RTSP H264 stream decoding, scaling, face detection inference, rendering inference results, composition and display.
+* 16 1080p H264 decoding, scaling, face detection inference, rendering inference results, composition and display. Plus 16 1080p H264 decoding, composition and showing on second display. 
+
+# Dependencies
+The sample application depends on [Intel® Media SDK](https://github.com/Intel-Media-SDK/), [Intel® OpenVINO™](https://software.intel.com/en-us/openvino-toolkit) and [FFmpeg](https://www.ffmpeg.org/)
+
+# FAQ
+See doc/FAQ.md
+
+# Table of contents
+
+  * [License](#license)
+  * [How to contribute](#how-to-contribute)
+  * [Documentation](#documentation)
+  * [System requirements](#system-requirements)
+  * [How to build](#how-to-build)
+    * [Build steps](#build-steps)
+  * [Known limitations](#know-limitations)
+
+# License
+The sample application is licensed under MIT license. See [LICENSE](./LICENSE) for details.
+
+# How to contribute
+See [CONTRIBUTING](./doc/CONTRIBUTING.md) for details. Thank you!
+
+# Documentation
+See [user guide](./doc/concurrent_video_analytic_sample_application_user_guide_2020.1.0.pdf)
+
+# System requirements
+
+**Operating System:**
+* Ubuntu 18.04.02
+
+**Software:**
+* [MediaSDK 19.4.0](https://github.com/Intel-Media-SDK/MediaSDK/releases/tag/intel-mediasdk-19.4.0)
+* [OpenVINO™ 2019 R3](https://software.intel.com/en-us/openvino-toolkit)
+
+**Hardware:** 
+* Intel® platforms supported by the MediaSDK 19.4.0 and OpenVINO 2019 R3. 
+* For Media SDK, the major platform dependency comes from the back-end media driver. https://github.com/intel/media-driver
+* For OpenVINO™, see details from here: https://software.intel.com/en-us/openvino-toolkit/documentation/system-requirements
+
+# How to build
+
+Run build_and_install.sh to install dependent software packages and build sample application video_e2e_sample. 
+
+Please refer to ”Installation Guide“ in [user guide](./doc/concurrent_video_analytic_sample_application_user_guide_2020.1.0.pdf) for details.
+
+## Build steps
+
+Get sources with the following git command: 
+```sh
+git clone https://github.com/intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l.git cva_sample 
+```
+
+```sh
+cd cva_sample 
+./build_and_install.sh
+```
+This script will install the dependent software packages by running command "apt install". So it will ask for sudo password. Then it will download libva, libva-util, media-driver and MediaSDK source code and install these libraries. It might take 10 to 20 minutes depending on the network bandwidth.
+
+After the script finishing, the sample application video_e2e_sample can be found under ./bin. Please refer to "Run sample application" in [user guide](./doc/concurrent_video_analytic_sample_application_user_guide_2020.1.0.pdf) for details.
+
+# Known limitations
+
+The sample application has been validated on Intel® platforms Skylake(i7-6770HQ), Coffee Lake(i7-8559U i7-8700) and Whiskey Lake(i7-8665UE).
+
+

build_and_install.sh

@@ -63,7 +63,7 @@ then
         echo 'export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/intel/mediasdk/lib"' >> ~/.bashrc
     fi
 
-    echo "VAAS sample application building has completed!"
+    echo "Sample application building has completed!"
     echo "Please use ./bin/video_e2e_sample for testing"
 fi
 

script/install_binary.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
-
-#use should use sudo to run this binaries
+#This script is supposed to run under directory svet_e2e_sample_l which is generated by script pack_binary.sh
+#Please use "sudo" to run this script for installing libva, media-driver and MediaSDK library binaries. 
 
 echo "If libva/media-driver/MediaSDK have been installed before, their libraies will be overwrote!"
 

script/pack_binary.sh

@@ -1,4 +1,6 @@
 #!/bin/bash
+#This script is used to pack all libva, media-driver and MediaSDK binaries to directory svet_e2e_sample_l.
+#Copy whole directory svet_e2e_sample_l to another device and run install_binary.sh to install the binaries
 
 root_path=$PWD
 release_folder=$root_path/svet_e2e_sample_l