Can we predict the Most Replayed data of video streaming platforms?

Official repository of the paper "Can we predict the Most Replayed data of video streaming platforms?"

Dataset

Download links

Google Drive: https://drive.google.com/file/d/1R8A7OtA9goaHskOYCxyxBIcZoLoKJU4s/view?usp=sharing

Dataset structure

Each key in the H5 file is the id of a single video. A key corresponds to a Group that contains 2 H5 Datasets, "features" and "heat-markers".

For instance:

/-14Dre9CVjk (Group with VIDEO_ID as the key)
    /features (Dataset with shape (548, 1024), type "<f8")
    /heat-markers  (Dataset with shape (100,), type "<f8")
/-Gm_IKNRqgQ
    ...

"features" contains the extracted I3D features of the video "heat-markers" contains the Most Replayed data from YouTube

To watch the videos you can browse to youtube.com/watch?v=VIDEO_ID

Code

Code structure

Entry point: model/main.py

User study in evaluation/user_study/

Dataset creation scripts in utils/