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You might not be aware of the term “continuous mobile vision,” but I’ll bet there’s a good chance you are aware of one of the scenarios it could enable.
Remember the concept, bandied about in recent years, of technology that can remind you of a person’s name once her or his face has been detected? Yeah, that one. I’m sure that most of us could make use of it once in a while.
The problem, though, is that image sensing takes lots of energy. That’s because modern image sensors lack energy proportionality. They’re power-hungry. That’s fine when a high-resolution, high-frame-rate image is desired. But even when you’re not seeking images of that quality, today’s image sensors still consume a lot of power.
Someday soon, though, things could change for the better. That’s the premise behind the paper Energy Characterization and Optimization of Image Sensing Toward Continuous Mobile Vision, which has been accepted for presentation during MobiSys 2013, the 11th International Conference on Mobile Systems, Applications and Services, being held June 25-28 in Taipei, Taiwan.
