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Conference Paper Objectionable Video Classification Exploiting Cascade Classifier
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Authors
Chi Yoon Jeong, Seungwan Han
Issue Date
2014-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2014, pp.617-618
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2014.6983229
Abstract
For the image domain, much research has been done to protect children from the harmful exposure to the objectionable images. Although image classification techniques require low computation time, it requires longer computation time to classify the videos. To classify the objectionable videos, it needs to process the many representative key-frames. To reduce the processing time of video classification, this paper proposes an objectionable video classification method exploiting cascade classifier. The experimental results show that the proposed method reduces the processing time without the degradation of classification performance.
KSP Keywords
Cascade Classifier, Classification Performance, Classification method, Classification techniques, Image Classification, Image domain, Low computation time, Objectionable Video Classification, processing time