Abstract | ||
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Photos serve dual role. Photos are important for capturing, saving, sharing, and reminiscing memories of events and people. Modern photos, however, are becoming more spontaneous, objective, compelling, and universal reports of a moment in an event also. In this paper our focus is on millions of photos being captured as informative reports and using them for emerging applications including situation recognition, trend analysis, and cultural dynamics. EventShop is an open source platform for situation recognition. Utilizing this platform and using a stream of photo reports from various sources as one of the data streams in this platform, we build a visual analytics system to understand the information that could be gleaned from such photo report streams. Our early experiments are based on the Yahoo Flickr Creative Commons 100 Million photos set released recently. We are also using other sources to import and understand the efficacy of these reports for various important applications. |
Year | DOI | Venue |
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2016 | 10.1145/2911996.2912020 | ICMR |
Keywords | Field | DocType |
Micro-report, Micro-blog, Photo, Situation Recognition, Visual Analytics | Data stream mining,World Wide Web,Trend analysis,Social media,Computer science,Microblogging,Visual analytics,Creative commons | Conference |
Citations | PageRank | References |
9 | 0.57 | 17 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siripen Pongpaichet | 1 | 52 | 6.46 |
Mengfan Tang | 2 | 36 | 3.81 |
Laleh Jalali | 3 | 40 | 6.19 |
Ramesh Jain | 4 | 7630 | 1861.65 |