Content-based visual search learned from social media
Xirong Li · ACM SIGMultimedia Records · 2012
In a world with increasing amounts of digital pictures, content-based visual search is an important and scientifically challenging problem in ICT research. This thesis tackles the problem by learning from social media. The fundamental question addressed in this thesis is: what is the value of socially tagged images for visual search?