@Article{Gkonela_2014,
  author        = {Gkonela, Chrysoula and Chorianopoulos, Konstantinos},
  title         = {{VideoSkip: event detection in social web videos with an implicit user heuristic}},
  journal       = {Multimedia Tools and Applications},
  year          = {2014},
  volume        = {69},
  number        = {2},
  pages         = {383--396},
  month         = {feb},
  abstract      = {In this paper, we present a user-based event detection method for social web videos. Previous research in
event detection has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the
contents of a video. There are few user-centric approaches that have considered either search keywords, or external data such
as comments, tags, and annotations. Moreover, some of the user-centric approaches imposed an extra effort to the users in order
to capture required information. In this research, we are describing a method for the analysis of implicit users' interactions
with a web video player, such as pause, play, and thirty-seconds skip or rewind. The results of our experiments indicated that
even the simple user heuristic of local maxima might effectively detect the same video-events, as indicated manually. Notably,
the proposed technique was more accurate in the detection of events that have a short duration, because those events motivated
increased user interaction in video hot-spots. The findings of this research provide evidence that we might be able to infer
semantics about a piece of unstructured data just from the way people actually use it.},
  doi           = {10.1007/s11042-012-1016-1},
  url_Paper={Gkonela_2014.pdf},
  issn          = {1380-7501},
  keywords      = {Event detection,Experiment,Semantics,User-based,Video,Video lectures,Web,analytics,human-computer
interaction,information retrieval,interaction,multimedia,social media,software technology,time-series},
  mendeley-tags = {Video lectures,analytics,human-computer interaction,information retrieval,interaction,multimedia,social
media,software technology,time-series},
  publisher     = {Springer Netherlands},
  url           = {http://www.springerlink.com/content/c1m1565463117216/},
}

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Previous research in event detection has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the contents of a video. There are few user-centric approaches that have considered either search keywords, or external data such as comments, tags, and annotations. Moreover, some of the user-centric approaches imposed an extra effort to the users in order to capture required information. In this research, we are describing a method for the analysis of implicit users' interactions with a web video player, such as pause, play, and thirty-seconds skip or rewind. The results of our experiments indicated that even the simple user heuristic of local maxima might effectively detect the same video-events, as indicated manually. Notably, the proposed technique was more accurate in the detection of events that have a short duration, because those events motivated increased user interaction in video hot-spots. The findings of this research provide evidence that we might be able to infer semantics about a piece of unstructured data just from the way people actually use it.","doi":"10.1007/s11042-012-1016-1","url_paper":"Gkonela_2014.pdf","issn":"1380-7501","keywords":"Event detection,Experiment,Semantics,User-based,Video,Video lectures,Web,analytics,human-computer interaction,information retrieval,interaction,multimedia,social media,software technology,time-series","mendeley-tags":"Video lectures,analytics,human-computer interaction,information retrieval,interaction,multimedia,social media,software technology,time-series","publisher":"Springer Netherlands","url":"http://www.springerlink.com/content/c1m1565463117216/","bibtex":"@Article{Gkonela_2014,\n author = {Gkonela, Chrysoula and Chorianopoulos, Konstantinos},\n title = {{VideoSkip: event detection in social web videos with an implicit user heuristic}},\n journal = {Multimedia Tools and Applications},\n year = {2014},\n volume = {69},\n number = {2},\n pages = {383--396},\n month = {feb},\n abstract = {In this paper, we present a user-based event detection method for social web videos. Previous research in\nevent detection has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the\ncontents of a video. There are few user-centric approaches that have considered either search keywords, or external data such\nas comments, tags, and annotations. Moreover, some of the user-centric approaches imposed an extra effort to the users in order\nto capture required information. In this research, we are describing a method for the analysis of implicit users' interactions\nwith a web video player, such as pause, play, and thirty-seconds skip or rewind. The results of our experiments indicated that\neven the simple user heuristic of local maxima might effectively detect the same video-events, as indicated manually. Notably,\nthe proposed technique was more accurate in the detection of events that have a short duration, because those events motivated\nincreased user interaction in video hot-spots. The findings of this research provide evidence that we might be able to infer\nsemantics about a piece of unstructured data just from the way people actually use it.},\n doi = {10.1007/s11042-012-1016-1},\n url_Paper={Gkonela_2014.pdf},\n issn = {1380-7501},\n keywords = {Event detection,Experiment,Semantics,User-based,Video,Video lectures,Web,analytics,human-computer\ninteraction,information retrieval,interaction,multimedia,social media,software technology,time-series},\n mendeley-tags = {Video lectures,analytics,human-computer interaction,information retrieval,interaction,multimedia,social\nmedia,software technology,time-series},\n publisher = {Springer Netherlands},\n url = {http://www.springerlink.com/content/c1m1565463117216/},\n}\n\n","author_short":["Gkonela, C.","Chorianopoulos, K."],"key":"Gkonela_2014","id":"Gkonela_2014","bibbaseid":"gkonela-chorianopoulos-videoskipeventdetectioninsocialwebvideoswithanimplicituserheuristic-2014","role":"author","urls":{" paper":"https://pdf.epidro.me/Gkonela_2014.pdf","Paper":"http://www.springerlink.com/content/c1m1565463117216/"},"keyword":["Event detection","Experiment","Semantics","User-based","Video","Video lectures","Web","analytics","human-computer interaction","information retrieval","interaction","multimedia","social media","software technology","time-series"],"metadata":{"authorlinks":{"chorianopoulos, k":"https://pdf.epidro.me/"}},"downloads":1,"html":""},"bibtype":"article","biburl":"https://pdf.epidro.me/publications.bib","creationDate":"2014-12-29T22:19:46.763Z","downloads":1,"keywords":["event detection","experiment","semantics","user-based","video","video lectures","web","analytics","human-computer interaction","information retrieval","interaction","multimedia","social media","software technology","time-series"],"search_terms":["videoskip","event","detection","social","web","videos","implicit","user","heuristic","gkonela","chorianopoulos"],"title":"VideoSkip: event detection in social web videos with an implicit user heuristic","year":2014,"dataSources":["7y6dBnX9BfJmF3as3"]}