Project TagSense

Mobile phones are becoming inseparable from humans and are replacing traditional cameras. TagSense attempts to leverage this trend to automatically tag pictures. The core idea of TagSense is to gather sensor information from nearby participating phones at the time of picture click. It then processes the sensor data to tag the picture with people and context. TagSense approach to tagging people is complementary to traditional face recognition based techniques. Our paper and poster on TagSense are presented at MobiSys 2011. Complete presentation is available in two parts: part1 and part2. Excerpts of paper and presentation are shown below.

TagSense received coverage by the popular media. Here is a representative list of links to articles about TagSense.

Some of these are picked up by University of South Carolina Media Relations and inadvertently by the other USC.

Association for Computing Machinery     Network
 World     PhysOrg     Science
      Daily     Macworld     CIO     PC
  World     Yahoo!
  India News     The
  Hindu     News Observer     The
  Bellingham Herald     Popular
    Science     Impact
  Lab     Post-Bulletin     TG
  Daily     Technorati     gizmag     Ubergizmo     Connected World     visionWiz     Fast
    Company Fast