Workshop on Human Computation for Image and Video Analysis @ HCOMP 2016

Workshop on November 3 (9:30am - 5:30pm)

Thanks to generous sponsorship from Evolv Technology, we will host a special lunch for all attendees and announce a best paper prize. Please remember to register for the workshop. Only those registered for the workshop will have a reserved seat for lunch.

We are happy to announce that we will be awarding the 1st GroupSight Best Paper Award $200, generously donated by Evolv Technology.

Overview

What would be possible if we could accelerate the analysis of images and videos, especially at scale? This question is inspiring widespread interest across communities as diverse as computer vision, human computer interaction, computer graphics, and multimedia. Some researchers are designing algorithms to automatically analyze visual content, yet many tasks remain too difficult for state-of-the-art algorithms. Other researchers are investigating ways to leverage crowdsourced human computation to power the analysis of visual content, however this is a more costly and less scalable alternative. And, at the intersection, lies an emerging research field for how to actively decide when and how to engage humans to cooperate with computers for visual analysis.

The aim of this workshop is to promote greater interaction between the diversity of researchers and practitioners who examine how to mix human and computer efforts to convert visual data into discoveries and innovations that benefit society at large. It will foster in-depth discussion of technical and application issues for how to engage humans with computers to optimize cost/quality trade-offs. It will also serve as an introduction to researchers and students curious about this important, emerging field at the intersection of crowdsourced human computation and image/video analysis.

Important Dates

• August 1, 2016 Wednesday August 10, 2016: Deadline for paper submission (11:59 pm PDT)
• Monday August 29, 2016: Notification of decision
• November 3, 2016: Workshop (full-day)