Name
Abstract | ||
|---|---|---|
While video game play streaming and archiving through sites such as Twitch.tv is an increasingly relevant and commercially viable practice, limitations of many of those systems ultimately cost end-users the chance to view the most-relevant streams at the moment they need them. Furthermore, while SDKs for in-game event and metric gathering are becoming prevalent, they are not typically combined with real-time pattern matching capabilities of any sophistication and, therefore, will generally fail to allow ‘deep’ matching between gamers and the game streams of highest relevance. This work in progress paper reports on a framework that will, when complete, fill major gaps in video game stream profiling, indexing, search, and usability (for players), and will be positioned as an offering for game developers and aggregators. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CCNC.2016.7444738 | CCNC |
Keywords | Field | DocType |
computer games,pattern matching,video streaming,in-game event,just-in-time assistance,just-in-time reconnaissance,metric gathering,most-relevant streams,real-time pattern matching,video game players,video game stream profiling,video game streams,context aware computing,event processing language,game streaming,user profiling | Game art design,Computer science,Video game development,Game design,Game design document,Game Developer,Game testing,Game development tool,Multimedia,First playable demo | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Falchuk | 1 | 94 | 12.52 |
| Euthimios Panagos | 2 | 225 | 88.43 |
| K. C. Lee | 3 | 0 | 0.34 |
| Shoshana Loeb | 4 | 68 | 84.51 |
| Zijun Yao | 5 | 350 | 14.17 |