I’m a PhD student focusing on large scale video analysis. It’s an unfortunate fact that a lot of the applied research in this space is motivated by surveillance, particularly in systems, eg what’s come out of Microsoft’s efforts here [0]. A colleague who attended CVPR said most of the industry booths were either surveillance or self driving cars.
I wish researchers would start to think more creatively about what we can do with large video datasets and tools like face recognition. The least we can do is try to use this technology for social good. For example, a USC/Google team used computer vision tools to identify gender bias in modern cinema [1] (for my own research, we’re doing a similar kind of analysis on TV news at 100x the scale).
I wish researchers would start to think more creatively about what we can do with large video datasets and tools like face recognition. The least we can do is try to use this technology for social good. For example, a USC/Google team used computer vision tools to identify gender bias in modern cinema [1] (for my own research, we’re doing a similar kind of analysis on TV news at 100x the scale).
[0] https://www.usenix.org/conference/nsdi17/technical-sessions/...
[1] https://www.google.com/about/main/gender-equality-films/