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--- |
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license: gpl-3.0 |
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task_categories: |
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- feature-extraction |
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- image-classification |
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- video-classification |
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- image-feature-extraction |
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language: |
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- en |
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pretty_name: MoViFex_Dataset |
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size_categories: |
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- n>100G |
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--- |
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# 🎬 MoViFex Dataset |
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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. |
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## 📃 Table of Content |
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- [How to Use](#usage) |
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- [Dataset Stats](#stats) |
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- [Files Structure](#structure) |
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## 🚀 How to Use? <a id="usage"></a> |
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### The Dataset Web-Page |
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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/). |
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### The Designed Framework for Benchmarking |
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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). |
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## 📊 Dataset Stats <a id="stats"></a> |
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### General |
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| Aspect | Value | |
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| ----------------------------------------------- | --------- | |
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| **Total number of movies** | 274 | |
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| **Average frames extracted per movie** | 7,732 | |
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| **Total number of frames (or feature vectors)** | 2,118,647 | |
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### Hybrid (combined with **MovieLenz 25M** ([link](https://grouplens.org/datasets/movielens/25m/))) |
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| Aspect | Value | |
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| ---------------------------------------- | --------- | |
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| **Accumulative number of genres:** | 723 | |
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| **Average movie ratings:** | 3.88/5 | |
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| **Total number of users:** | 158,146 | |
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| **Accumulative number of interactions:** | 2,869,024 | |
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### Required Capacity |
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| Data | Model | Total Files | Size on Disk | |
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| ---------------------- | ----- | ----------- | ------------- | |
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| Full Movies | incp3 | 84,872 | 35.8 GB | |
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| Full Movies | vgg19 | 84,872 | 46.1 GB | |
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| Movie Shots | incp3 | 16,713 | 7.01 GB | |
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| Movie Shots | vgg19 | 24,598 | 13.3 GB | |
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| Trailers | incp3 | 1,725 | 681 MB | |
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| Trailers | vgg19 | 1,725 | 885 MB | |
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| Aggregated Full Movies | incp3 | 84,872 | 10 MB | |
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| Aggregated Full Movies | vgg19 | 84,872 | 19 MB | |
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| Aggregated Movie Shots | incp3 | 16,713 | 10 MB | |
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| Aggregated Movie Shots | vgg19 | 24,598 | 19 MB | |
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| Aggregated Trailers | incp3 | 1,725 | 10 MB | |
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| Aggregated Trailers | vgg19 | 1,725 | 19 MB | |
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| **Total** | - | **214,505** | **~103.9 GB** | |
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## 🗄️ Files Structure <a id="structure"></a> |
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### Level I. Primary Categories |
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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. |
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### Level II. Visual Feature Extractors |
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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. |
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### Level III. Contents (Movies & Trailers) |
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#### A: Atomic Features (folders full_movies, movie_shots, and movie_trailers) |
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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. |
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#### B: Aggregated Features (folders full_movies_agg, movie_shots_agg, and movie_trailers_agg) |
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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. |
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### Level IV. Packets (Atomic Feature Folders Only) |
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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. |
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The described structure is presented below in brief: |
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```bash |
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> [full_movies] ## visual features of frame-level full-length movie videos |
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> [incp3] ## visual features extracted using Inception-v3 |
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> [movie-1] |
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> [packet-1] |
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> [packet-2] |
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... |
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> [packet-m] |
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> [movie-2] |
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... |
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> [movie-n] |
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> [vgg19] ## visual features extracted using VGG-19 |
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> [movie-1] |
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... |
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> [movie-n] |
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> [movie_shots] ## visual features of shot-level full-length movie videos |
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> [incp3] |
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> ... |
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> [vgg19] |
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> ... |
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> [movie_trailers] ## visual features of frame-level movie trailer videos |
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> [incp3] |
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> ... |
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> [vgg19] |
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> ... |
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> [full_movies_agg] ## aggregated visual features of frame-level full-length movie videos |
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> [incp3] ## aggregated visual features extracted using Inception-v3 |
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> [movie-1-json] |
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> [movie-2] |
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... |
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> [movie-n] |
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> [vgg19] ## aggregated visual features extracted using VGG-19 |
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> [movie-1] |
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... |
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> [movie-n] |
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> [movie_shots_agg] ## aggregated visual features of shot-level full-length movie videos |
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> [movie_trailers_agg] ## aggregated visual features of frame-level movie trailer videos |
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``` |
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### `stats.json` File |
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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/)). |
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```json |
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[ |
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{ |
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"id": "0000000006", |
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"title": "Heat", |
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"year": 1995, |
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"genres": [ |
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"Action", |
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"Crime", |
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"Thriller" |
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] |
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}, |
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... |
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] |
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``` |
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