diff --git a/README.md b/README.md
index 567b2da..12b6948 100644
--- a/README.md
+++ b/README.md
@@ -6,11 +6,13 @@ The `MSCKF_VIO` package is a stereo-photometric version of MSCKF. The software t
 This approach is based on the paper written by Ke Sun et al.
 [https://arxiv.org/abs/1712.00036](https://arxiv.org/abs/1712.00036) and their Stereo MSCKF implementation, which tightly fuse the matched feature information of a stereo image pair into a 6DOF Pose.
 The approach implemented in this repository follows the semi-dense msckf approach tightly fusing the photometric
-information around the matched featues into the covariance matrix, as described and derived in the master thesis[Pose Estimation using a Stereo-Photometric Multi-State Constraint Kalman Filter](http://raphael.maenle.net/resources/sp-msckf/maenle_master_thesis.pdf).
+information around the matched featues into the covariance matrix, as described and derived in the master thesis [Pose Estimation using a Stereo-Photometric Multi-State Constraint Kalman Filter](http://raphael.maenle.net/resources/sp-msckf/maenle_master_thesis.pdf).
 
 It's positioning is comparable to the approach from Ke Sun et al. with the photometric approach, with a higher
 computational load, especially with larger image patches around the feature. A video explaining the approach can be
-found on [https://youtu.be/HrqQywAnenQ](https://youtu.be/HrqQywAnenQ)
+found on [https://youtu.be/HrqQywAnenQ](https://youtu.be/HrqQywAnenQ): 
+[![Stereo-Photometric MSCKF](https://img.youtube.com/vi/HrqQywAnenQ/0.jpg)](https://www.youtube.com/watch?v=HrqQywAnenQ)
+
 <br/>
 This software should be deployed using ROS Kinetic on Ubuntu 16.04 or 18.04.