Human Computation: Object Recognition for Mobile Games Based on Single Player

Автор: Mohamed Sakr, Hany Mahgoub, Arabi Keshk

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 7 vol.6, 2014 года.

Бесплатный доступ

Smart phones and its applications gain a lot of popularity nowadays. Many people depend on them to finish their tasks banking, social networking, fun and a lot other things. Games with a purpose (GWAP) and microtask crowdsourcing are considered two techniques of the human-computation. GWAPs depend on humans to accomplish their tasks. Porting GWAPs to smart phones will be great in increasing the number of humans in it. One of the systems of human-computation is ESP Game. ESP Game is a type of games with a purpose. ESP game will be good candidate to be ported to smart phones. This paper presents a new mobile game called MemoryLabel. It is a single player mobile game. It helps in labeling images and gives description for them. In addition, the game gives description for objects in the image not the whole image. We deploy our algorithm at the University of Menoufia for evaluation. In addition, the game is published on Google play market for android applications. In this trial, we first focused on measuring the total number of labels generated by our game and also the number of objects that have been labeled. The results reveal that the proposed game has promising results in describing images and objects.

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ESP game, Games with a purpose, Human computation, object recognition, Smart phones

Короткий адрес: https://sciup.org/15014667

IDR: 15014667

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