Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2010.5652300
DC FieldValue
dc.titleVideo categorization using Object of Interest detection
dc.contributor.authorKowdle A.
dc.contributor.authorChang K.-W.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T04:59:58Z
dc.date.available2018-08-21T04:59:58Z
dc.date.issued2010
dc.identifier.citationKowdle A., Chang K.-W., Chen T. (2010). Video categorization using Object of Interest detection. Proceedings - International Conference on Image Processing, ICIP : 4569-4572. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2010.5652300
dc.identifier.isbn9781424479948
dc.identifier.issn15224880
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146162
dc.description.abstractObject of Interest (OOI) detection has been widely used in many recent works in video analysis, especially in video similarity and video retrieval. In this paper, we describe a generic video classification algorithm using object of interest dectection. We use online user-submitted videos and aim to categorize the videos into six broad categories hot star, news, anime, pets, sports and commercials. We show through our experiments that, detecting and describing the object of interest improves the video classification accuracy by about 10 percentage points.
dc.sourceScopus
dc.subjectObject of interest detection
dc.subjectVideo classification
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.doi10.1109/ICIP.2010.5652300
dc.description.sourcetitleProceedings - International Conference on Image Processing, ICIP
dc.description.page4569-4572
dc.published.statepublished
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