Efficient annotation of image data sets for computer vision applications
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
Personal image tagging: a game-based approach
Proceedings of the 8th International Conference on Semantic Systems
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With the proliferation of mobile devices, management of the growing user personal generated multimedia content is more demanding. Proper organization of this content requires manual metadata authoring, since automated or crowd sourcing approaches are inapplicable in case of personal content or content of a small social group (e.g. family). Recently, games with a purpose gained popularity in solving many human intelligence tasks, with main focus drawn onto resource metadata and semantics acquisition. Games with a purpose seem to have large potential for solving further problems, but they also face several design issues involving mainly the validation of human-created artifacts they provide. In this paper we analyze these issues and propose directions for overcoming them for the semantics acquisition domain. Furthermore, we propose a method for annotating and presenting personal multimedia content based on our previously developed game with a purpose, which also exploits the alternative artifact evaluation.