A crowdsourcing approach to support video annotation

Authors:
R. Di Salvo;D. Giordano;I. Kavasidis
Affiliations:
University of Catania, Italy;University of Catania, Italy;University of Catania, Italy
Venue:
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
Year:
2013

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Abstract

In this paper we present an innovative approach to support efficient large scale video annotation by exploiting the crowdsourcing. In particular, we collect big noisy annotations by an on-line Flash game which aims at taking photos of objects appearing through the game levels. The data gathered (suitably processed) from the game is then used to drive image segmentation approaches, namely the Region Growing and Grab Cut, which allow us to derive meaningful annotations. A comparison against hand-labeled ground truth data showed that the proposed approach constitutes a valid alternative to the existing video annotation approaches and allow a reliable and fast collection of large scale ground truth data for performance evaluation in computer vision.