diff --git a/README.md b/README.md
index 2eb8f98..4f20604 100644
--- a/README.md
+++ b/README.md
@@ -23,8 +23,7 @@
 
 ## Video Matting Demo 
 We provide two real-time portrait video matting demos based on WebCam.   
-If you have an Ubuntu system, we recommend you to try the [offline demo](demo/video_matting/README.md) to get a higher *fps*. Otherwise, you can access the [online Colab demo](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing).
-
+If you have an Ubuntu system, we recommend you to try the [offline demo](demo/video_matting) to get a higher *fps*. Otherwise, you can access the [online Colab demo](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing).
 
 
 ## Image Matting Demo
@@ -38,6 +37,11 @@ It allows you to upload portrait images and predict/visualize/download the alpha
 - Release training code (scheduled in **Jan. 2021**)
 - Release PPM-100 validation benchmark (scheduled in **Feb. 2021**)
 
+
+## License
+This project is released under the [Creative Commons Attribution NonCommercial ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license.
+
+
 ## Acknowledgement
 We thank [City University of Hong Kong](https://www.cityu.edu.hk/) and [SenseTime](https://www.sensetime.com/) for their support to this project.
 
diff --git a/demo/video_matting/README.md b/demo/video_matting/README.md
index f622201..8847149 100644
--- a/demo/video_matting/README.md
+++ b/demo/video_matting/README.md
@@ -1,7 +1,7 @@
 ## MODNet - WebCam-Based Portrait Video Matting Demo
 This is a MODNet portrait video matting demo based on WebCam. It will call your local WebCam and display the matting results in real time.
 
-### Requirements
+### 1. Requirements
 The basic requirements for this demo are:
 - Ubuntu System
 - WebCam
@@ -11,7 +11,7 @@ The basic requirements for this demo are:
 **NOTE**: If your device does not satisfy the above conditions, please try our [online Colab demo](https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J?usp=sharing).
 
 
-### Introduction
+### 2. Introduction
 We use ~400 unlabeled video clips (divided into ~50,000 frames) downloaded from the internet to perform SOC to adapt MODNet to the video domain. Nonetheless, due to insufficient labeled training data (~3k labeled foregrounds), our model may still make errors in portrait semantics estimation under challenging scenes. Besides, this demo does not currently support the OFD trick, which will be provided soon.
 
 For a better experience, please:
@@ -21,7 +21,7 @@ For a better experience, please:
 *   do not be too close or too far from the WebCam
 *   do not move too fast
 
-### Run Demo
+### 3. Run Demo
 We recommend creating a new conda virtual environment to run this demo, as follow:
 
 1. Clone the MODNet repository: