Development of an instrument measuring user satisfaction of the human-computer interface
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tools and Techniques for Video Performance Evaluation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Ground Truth Verification Tool (GTVT) for Video Surveillance Systems
ACHI '09 Proceedings of the 2009 Second International Conferences on Advances in Computer-Human Interactions
A Semi-automatic System for Ground Truth Generation of Soccer Video Sequences
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Automatic fish classification for underwater species behavior understanding
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
IEEE Transactions on Intelligent Transportation Systems
Quantitative performance analysis of object detection algorithms on underwater video footage
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
A crowdsourcing approach to support video annotation
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
A rule-based event detection system for real-life underwater domain
Machine Vision and Applications
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In this paper we present a tool for the generation of ground-truth data for object detection, tracking and recognition applications. Compared to state of the art methods, such as ViPER-GT, our tool improves the user experience by providing edit shortcuts such as hotkeys and drag-and-drop, and by integrating computer vision algorithms to automate, under the supervision of the user, the extraction of contours and the identification of objects across frames. A comparison between our application and ViPER-GT tool was performed, which showed how our tool allows users to label a video in a shorter time, while at the same time providing a higher ground truth quality.