Please use this identifier to cite or link to this item: https://doi.org/10.1145/2072298.2072450
Title: Purposive Hidden-Object Game (P-HOG) towards imperceptible human computation
Authors: Dong, J.
Ni, Y. 
Feng, J.
Yan, S. 
Keywords: GWAP
Hidden object game
Human computing
Issue Date: 2011
Source: Dong, J.,Ni, Y.,Feng, J.,Yan, S. (2011). Purposive Hidden-Object Game (P-HOG) towards imperceptible human computation. MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops : 773-774. ScholarBank@NUS Repository. https://doi.org/10.1145/2072298.2072450
Abstract: This demonstration presents a novel purposive web game on iOS to collect object locations, named Purposive Hidden-Object-Game(P-HOG). Having sufficient training images with known object locations is crucial for many multimedia tasks. P-HOG imperceptibly embeds localizing objects into the gaming process so that P-HOG preserves attractiveness to common players. During the game, players need to localize both automatically inserted known items and unknown objects (which are aimed to localize) to gain scores. The unknown objects are indicated by the refined user-provided tags from photo sharing websites. The difficulty mainly lies in how to insert known items naturally and thus preserve the game's playability. The P-HOG can be applied for constructing a large database, which contains located objects and may benefit general learning-based algorithms for multimedia tasks. The comprehensive experiments shows that P-HOG appeals to general players and can easily perform quality control, and hence effective for collecting massive object locations with high accuracy. Copyright 2011 ACM.
Source Title: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
URI: http://scholarbank.nus.edu.sg/handle/10635/43197
ISBN: 9781450306164
DOI: 10.1145/2072298.2072450
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