Video Feature Extraction for NRVQA

I'm currently undertaking a Non-Reference Video Quality Assessment (NRVQA) and need some assistance. The goal is to extract various features from a video dataset in order to minimize the Root Mean Square Error (RMSE) with respect to Mean Opinion Scores (MOS).

I need to extract the following features:
- Color histogram
- Motion vectors
- Object detection results
- Any other relevant features that a human viewer would typically notice in a video

Ideal candidates for this project should have:
- Strong expertise in video analysis
- Experience with NRVQA
- Proficiency in extracting and analyzing video features
- Ability to minimize RMSE with respect to MOS scores.

Your contributions will directly impact the quality and accuracy of the project. Thank you for considering this opportunity.