Update chapters/en/unit7/video-processing/rnn-based-video-models.mdx

Co-authored-by: Johannes Kolbe <2843485+johko@users.noreply.github.com>

chapters/en/unit7/video-processing/rnn-based-video-models.mdx

@@ -2,7 +2,7 @@
 
 ## Videos as Sequence Data[[video-as-sequence-data]]
 
-Videos are made up of a series of images called frames that are played one after another to create motion. Each frame captures spatial information—the objects and scenes in the image. When these frames are shown in sequence, they also provide temporal information—how things change and move over time. 
+Videos are made up of a series of images called frames that are played one after another to create motion. Each frame captures spatial information — the objects and scenes in the image. When these frames are shown in sequence, they also provide temporal information — how things change and move over time. 
 Because of this combination of space and time, videos contain more complex information than single images. To analyze videos effectively, we need models that can understand both the spatial and temporal aspects.
 
 ## The Role and Need for RNNs in Video Processing[[the-role-and-need-for-rnns-in-video-processing]]