In-game action list segmentation and labeling in real-time strategy games
In-game actions of real-time strategy (RTS) games are extremely useful in determining the players' strategies, analyzing their behaviors and recommending ways to improve their play skills. Unfortunately, unstructured sequences of in-game actions are hardly informative enough for these analyses....
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Institutional Knowledge at Singapore Management University
2012
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| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/3482 https://ink.library.smu.edu.sg/context/sis_research/article/4483/viewcontent/C29___In_Game_Action_List_Segmentation_and_Labeling_in_Real_Time_Strategy_Games__CIG2012_.pdf |
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sg-smu-ink.sis_research-44832017-09-18T09:24:51Z In-game action list segmentation and labeling in real-time strategy games GONG, Wei LIM, Ee-Peng ACHANANUPARP, Palakorn ZHU, Feida LO, David CHUA, Freddy Chong-Tat In-game actions of real-time strategy (RTS) games are extremely useful in determining the players' strategies, analyzing their behaviors and recommending ways to improve their play skills. Unfortunately, unstructured sequences of in-game actions are hardly informative enough for these analyses. The inconsistency we observed in human annotation of in-game data makes the analytical task even more challenging. In this paper, we propose an integrated system for in-game action segmentation and semantic label assignment based on a Conditional Random Fields (CRFs) model with essential features extracted from the in-game actions. Our experiments demonstrate that the accuracy of our solution can be as high as 98.9%. 2012-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3482 info:doi/10.1109/CIG.2012.6374150 https://ink.library.smu.edu.sg/context/sis_research/article/4483/viewcontent/C29___In_Game_Action_List_Segmentation_and_Labeling_in_Real_Time_Strategy_Games__CIG2012_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer games Feature extraction Conditional random fields Feature extraction Human annotation In-game action list segmentation Real-time strategy games Semantic label assignment Databases and Information Systems |
| institution |
Singapore Management University |
| building |
SMU Libraries |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
SMU Libraries |
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InK@SMU |
| language |
English |
| topic |
Computer games Feature extraction Conditional random fields Feature extraction Human annotation In-game action list segmentation Real-time strategy games Semantic label assignment Databases and Information Systems |
| spellingShingle |
Computer games Feature extraction Conditional random fields Feature extraction Human annotation In-game action list segmentation Real-time strategy games Semantic label assignment Databases and Information Systems GONG, Wei LIM, Ee-Peng ACHANANUPARP, Palakorn ZHU, Feida LO, David CHUA, Freddy Chong-Tat In-game action list segmentation and labeling in real-time strategy games |
| description |
In-game actions of real-time strategy (RTS) games are extremely useful in determining the players' strategies, analyzing their behaviors and recommending ways to improve their play skills. Unfortunately, unstructured sequences of in-game actions are hardly informative enough for these analyses. The inconsistency we observed in human annotation of in-game data makes the analytical task even more challenging. In this paper, we propose an integrated system for in-game action segmentation and semantic label assignment based on a Conditional Random Fields (CRFs) model with essential features extracted from the in-game actions. Our experiments demonstrate that the accuracy of our solution can be as high as 98.9%. |
| format |
text |
| author |
GONG, Wei LIM, Ee-Peng ACHANANUPARP, Palakorn ZHU, Feida LO, David CHUA, Freddy Chong-Tat |
| author_facet |
GONG, Wei LIM, Ee-Peng ACHANANUPARP, Palakorn ZHU, Feida LO, David CHUA, Freddy Chong-Tat |
| author_sort |
GONG, Wei |
| title |
In-game action list segmentation and labeling in real-time strategy games |
| title_short |
In-game action list segmentation and labeling in real-time strategy games |
| title_full |
In-game action list segmentation and labeling in real-time strategy games |
| title_fullStr |
In-game action list segmentation and labeling in real-time strategy games |
| title_full_unstemmed |
In-game action list segmentation and labeling in real-time strategy games |
| title_sort |
in-game action list segmentation and labeling in real-time strategy games |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2012 |
| url |
https://ink.library.smu.edu.sg/sis_research/3482 https://ink.library.smu.edu.sg/context/sis_research/article/4483/viewcontent/C29___In_Game_Action_List_Segmentation_and_Labeling_in_Real_Time_Strategy_Games__CIG2012_.pdf |
| _version_ |
1770573231217967104 |