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---
license: gpl-3.0
task_categories:
- feature-extraction
- image-classification
- video-classification
- image-feature-extraction
language:
- en
pretty_name: MoViFex_Dataset
size_categories:
- n>100G
---
# 🎬 MoViFex Dataset
The Movies Visual Features Extracted (MoViFex) dataset contains visual features obtained from a wide range of movies (full-length), their shots, and free trailers. It contains frame-level extracted visual features and aggregated version of them. **MoViFex** can be used in recommendation, information retrieval, classification, _etc_ tasks.
## 📃 Table of Content
- [How to Use](#usage)
- [Dataset Stats](#stats)
- [Files Structure](#structure)
## 🚀 How to Use? <a id="usage"></a>
### The Dataset Web-Page
Check the detailed information about the dataset in its web-page presented in the link in [https://recsys-lab.github.io/movifex_dataset/](https://recsys-lab.github.io/movifex_dataset/).
### The Designed Framework for Benchmarking
In order to use, exploit, and generate this dataset, a framework titled `MoViFex` is implemented. You can read more about it [on the GitHub repository](https://github.com/RecSys-lab/SceneSense).
## 📊 Dataset Stats <a id="stats"></a>
### General
| Aspect | Value |
| ----------------------------------------------- | --------- |
| **Total number of movies** | 274 |
| **Average frames extracted per movie** | 7,732 |
| **Total number of frames (or feature vectors)** | 2,118,647 |
### Hybrid (combined with **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/)))
| Aspect | Value |
| ---------------------------------------- | --------- |
| **Accumulative number of genres:** | 723 |
| **Average movie ratings:** | 3.88/5 |
| **Total number of users:** | 158,146 |
| **Accumulative number of interactions:** | 2,869,024 |
### Required Capacity
| Data | Model | Total Files | Size on Disk |
| ---------------------- | ----- | ----------- | ------------- |
| Full Movies | incp3 | 84,872 | 35.8 GB |
| Full Movies | vgg19 | 84,872 | 46.1 GB |
| Movie Shots | incp3 | 16,713 | 7.01 GB |
| Movie Shots | vgg19 | 24,598 | 13.3 GB |
| Trailers | incp3 | 1,725 | 681 MB |
| Trailers | vgg19 | 1,725 | 885 MB |
| Aggregated Full Movies | incp3 | 84,872 | 10 MB |
| Aggregated Full Movies | vgg19 | 84,872 | 19 MB |
| Aggregated Movie Shots | incp3 | 16,713 | 10 MB |
| Aggregated Movie Shots | vgg19 | 24,598 | 19 MB |
| Aggregated Trailers | incp3 | 1,725 | 10 MB |
| Aggregated Trailers | vgg19 | 1,725 | 19 MB |
| **Total** | - | **214,505** | **~103.9 GB** |
## 🗄️ Files Structure <a id="structure"></a>
### Level I. Primary Categories
The dataset contains six main folders and a `stats.json` file. The `stats.json` file contains the meta-data for the sources. Folders **'full_movies'**, **'movie_shots'**, and **'movie_trailers'** keep the atomic visual features extracted from various sources, including `full_movies` for frame-level visual features extracted from full-length movie videos, `movie_shots` for the shot-level (_i.e.,_ important frames) visual features extracted from full-length movie videos, and `movie_trailers` for frame-level visual features extracted from movie trailers videos. Folders **'full_movies_agg'**, **'movie_shots_agg'**, and **'movie_trailers_agg'** keep the aggregated (non-atomic) versions of the described items.
### Level II. Visual Feature Extractors
Inside each of the mentioned folders, there are two folders titled `incp3` and `vgg19`, referring to the feature extractor used to generate the visual features, which are [Inception-v3 (GoogleNet)](https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Szegedy_Rethinking_the_Inception_CVPR_2016_paper.html) and [VGG-19](https://doi.org/10.48550/arXiv.1409.1556), respectively.
### Level III. Contents (Movies & Trailers)
#### A: Atomic Features (folders full_movies, movie_shots, and movie_trailers)
Inside each feature extractor folder (_e.g.,_ `full_movies/incp3` or `movie_trailers/vgg19`) you can find a set of folders with unique title (_e.g.,_ `0000000778`) indicating the ID of the movie in **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/)) dataset. Accordingly, you have access to the visual features extracted from the movie `0000000778`, using Inception-v3 and VGG-19 extractors, in full-length frame, full-length shot, and trailer levels.
#### B: Aggregated Features (folders full_movies_agg, movie_shots_agg, and movie_trailers_agg)
Inside each feature extractor folder (_e.g.,_ `full_movies_agg/incp3` or `movie_trailers_agg/vgg19`) you can find a set of `json` files with unique title (_e.g.,_ `0000000778.json`) indicating the ID of the movie in **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/)) dataset. Accordingly, you have access to the aggregated visual features extracted from the movie `0000000778` (and available on the atomic features folders), using Inception-v3 and VGG-19 extractors, in full-length frame, full-length shot, and trailer levels.
### Level IV. Packets (Atomic Feature Folders Only)
To better organize visual features, each movie folder (_e.g.,_ `0000000778`) has a set of packets named as `packet0001.json` to `packet000N.json` saved as `json` files. Each packet contains a set of objects with `frameId` and `features` attributes, keeping the equivalent frame-ID and visual feature, respectively. In general, every **25** object (`frameId-features` pair) form a packet, except the last packet that can have less objects.
The described structure is presented below in brief:
```bash
> [full_movies] ## visual features of frame-level full-length movie videos
> [incp3] ## visual features extracted using Inception-v3
> [movie-1]
> [packet-1]
> [packet-2]
...
> [packet-m]
> [movie-2]
...
> [movie-n]
> [vgg19] ## visual features extracted using VGG-19
> [movie-1]
...
> [movie-n]
> [movie_shots] ## visual features of shot-level full-length movie videos
> [incp3]
> ...
> [vgg19]
> ...
> [movie_trailers] ## visual features of frame-level movie trailer videos
> [incp3]
> ...
> [vgg19]
> ...
> [full_movies_agg] ## aggregated visual features of frame-level full-length movie videos
> [incp3] ## aggregated visual features extracted using Inception-v3
> [movie-1-json]
> [movie-2]
...
> [movie-n]
> [vgg19] ## aggregated visual features extracted using VGG-19
> [movie-1]
...
> [movie-n]
> [movie_shots_agg] ## aggregated visual features of shot-level full-length movie videos
> [movie_trailers_agg] ## aggregated visual features of frame-level movie trailer videos
```
### `stats.json` File
The `stats.json` file placed in the root contains valuable information about the characteristics of each of the movies, fetched from **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/)).
```json
[
{
"id": "0000000006",
"title": "Heat",
"year": 1995,
"genres": [
"Action",
"Crime",
"Thriller"
]
},
...
]
```
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