Sometimes you have to make things because they scare you. From the linked video which offers just an endless rainbow of animated gif possibilities.
Enough is probably enough but I’m enjoying the useless entertainment of the process. I spent all day writing a far more useless report and got no joy out of it so this helps with recovery. There’s also the potential of making a reservoir of these gifs for people to remix into stories. Pulp Fiction This scene has potential but I failed here pretty badly. I may have to break it half and match up the dancers separately in FinalCut. I think that’d work but right now it’s too much hassle. Christmas break is coming. Rocky Of these two, I like the pushup one the best but the video quality leaves a lot to be desired. I need to order some of these on Netflix and get some decent resolution captures. There are a number of other scenes from odd movies that I can’t find on YouTube. Hulk There’s a slow zoom in there that messes up the loop. I started hand resizing the frames to cancel that out but that was not what I was in this for. I do want everyone to see the Hulk petting the bunny.
Just yesterday Jim retweeted Psychmedia‘s find. Essentially, this post shows the first 1000 frames of North by Northwest by average color. Games you could play with these kind of data imagesIt’s worth noting that you could do all of this in an English classroom and get at some really serious analysis. You could even reverse things and have students create the color graph for a novel. What would those colors be in the movie? Explain your choices. Give someone the image. They tell the story based on the colors. The key here would be to map the writing to the image bands in a way that keeps it contextual. It also be nice to be able to stack columns of different interpretations out horizontally to see the different interpretations of the same bands. Take three movies and break them down this way. How do the colors compare? Why do you think that’s the case? You could break down three movies from the same director and look for matches or just do it randomly. Just doing this kind of analyzation and mapping to the actual stills would be a pretty intense assignment if you talked about whether the average color was representative of the scene/plot. Do dark colors always match It would also be wild to produce your own movie with […]
This little girl was at a birthday party for some family friends. She alternated between closing her eyes and sticking out her tongue (in a non-annoying way that made me like her more) and that real smile. Her older sister was there too but she was old enough to pose. She smiled but it wasn’t real. She said she didn’t like her smile. That was a pretty depressing statement for an 8 year old to make. Already self-conscious. This picture was taken in the computer lab in the building where I teach night classes. Tien Shu (spelling? seemed rude/stalker-ish to ask) is a math major. She seemed fine with having the picture taken but there might have been a communication problem. I asked her a few small talk questions but all I got were smiles and nods . . not sure if it was a language issue, or just too much time in the computer lab. It was not as satisfying as a number of the other shots but I do like that she manages to smile with just the lines on her face. Her lips remain completely straight. It is interesting for me to look at this series all together. I wonder if the closeness of the photographs relates to my comfort level or that of the subject. […]