Newgray's Newblog

“cinemetrics is about measuring and visualizing movie data, in order to reveal the characteristics of films and to create a visual “fingerprint” for them. Information such as the editing structure, color, speech or motion are extracted, analyzed and transformed into graphic representations so that movies can be seen as a whole and easily interpreted or compared side by side.”

I am curious  what are the benefits of those visualizations for us to perceive/understand movies any better. Would be great to read the full thesis though. Here is the brief list of things come up to my mind when I look at the results:

  • Average color-scale of the whole movie might give us a clue about the atmosphere and the mood of the movie.
  • Dialogues can be extracted to make a tag cloud or list of frequently used words.
  • We can visualize the flow of the soundtrack to see rising moments, tensions and relaxing scenes.
  • We can analyze pace of the movie by looking at cut/transition frequencies.
  • Repeating patterns might be visualized as well, gun-shots, car scenes, conversations, etc.

The list can grow however, I believe we should always keep in mind that the movie itself is a very different experience than its visualizations. Storytelling and audience feelings can’t be communicated enough with visualizations. More information and videos about the project is available on cinemetrics website.

Stamen released their latest mapping project, onebayarea maps. It filters the view by the travel time between areas, and the median price of homes in each area. Important points: 1. It is not based on google maps but geoIQ. Map is nicer and more suitable for data mapping.2. Median Price Data is not from census data but ABAG data. Most probably better organized and reliable.
Finally there is a mapping project which shows contextualized data based on a daily case and looks nice. Good Job from Stamen. You can also read the original post about their project on their blog.

Stamen released their latest mapping project, onebayarea maps. It filters the view by the travel time between areas, and the median price of homes in each area. Important points:

1. It is not based on google maps but geoIQ. Map is nicer and more suitable for data mapping.
2. Median Price Data is not from census data but ABAG data. Most probably better organized and reliable.

Finally there is a mapping project which shows contextualized data based on a daily case and looks nice. Good Job from Stamen. You can also read the original post about their project on their blog.