[doc] - update readme.md

README.md

@@ -63,7 +63,7 @@ The dataset contains visual features obtained from a wide range of movies (full-
 
 ### Level I. Primary Categories
 
-The dataset contains six main folders and a `stats.json` file. Folders **'full_movies'**, **'movie_shots'**, and **'movie_trailers'** keep the 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 versions of
+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
 
@@ -71,9 +71,15 @@ Inside each of the mentioned folders, there are two folders titled `incp3` and `
 
 ### 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.
 
-### Level IV. Packets
+#### 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.
 
@@ -104,6 +110,18 @@ The described structure is presented below in brief:
     > ...
   > [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