*Lunch will be provided*

SPEAKER:
Alexandre Cunha
Center for Advanced Computing Research and Elliot Meyerowitz Lab, Caltech

TITLE:
Collaborative Image Analysis with the Masses: Challenges and Opportunities

ABSTRACT:
Extracting reliable quantitative information from digital images in an automatic fashion continues to be a difficult task. In many situations classical and contemporary algorithms only provide partial and sub-optimal results that might not be sufficient to carry on research studies thus leading practitioners to rely on manual annotations.  We present our work on collaborative image segmentation, an online crowdsourcing system where computers, experts, and non-experts cooperate to produce robust results supporting the research of plant biologists. We address some of the technical and nontechnical challenges in building such a system and discuss the potential in employing the vision of crowds to help solve image processing problems which are still poorly solved by computers alone.

This is a work in progress in collaboration with Elliot Meyerowitz lab at Caltech and with Tsang Ing Ren lab at UFPE, Brazil.