Gamifying video object segmentation
In our paper "Gamifying Video Object Segmentation" (arXiv link) we describe a web game architecture for crowdsourced collection of user clicks, to be employed for subsequent video object segmentation.
We hereby provide:
Knowledge Based Image Classification
We developed a tool for fast generating semantic enriched image annotations, which is suitable for every application domain that can be represented by an ontology.
The tool has been extensively used to annotate our Fruit Dataset (5,547 images of 27 fruit varieties belonging to 3 different species),
resulting in a large knowledge base (over 1,000,000 OWL triples about fruits, their context objects and attributes).
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