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Implementation of Automatic X-rated Video Classification and Management System based on Multimodal Features
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- Authors
- JaeDeok Lim, CheolHoon Lee, ByeongCheol Choi, SeungWan Han, JeongNyeo Kim
- Issue Date
- 2012-12
- Citation
- International Journal of Advancements in Computing Technology, v.4, no.23, pp.178-186
- ISSN
- 2005-8039
- Publisher
- 차세대융합기술연구원(AICIT)
- Language
- English
- Type
- Journal Article
- Abstract
- This paper proposes the automatic X-rated video classification and management system and its implementation. Automatic video classification is based on multimodal features; visual and auditory features. Visual features consist of image-based feature and video-based feature. Some MPEG-7 image descriptors and the rule of thirds are adopted as imaged-based feature for deciding harmfulness of a single video frame. The temporal color histogram feature and the repeated curve-like spectrum feature are used as video-based and audio-based feature respectively. They can detect efficiently the motion and sound properties that are appeared in most indecent scenes. In classifying a video file, we use multi-level decision and classification; feature-level decision, clip-level decision and finally file-level classification. Support vector machine classifier is used at the feature-level decision. Each single feature-based video classification performance has about or a slightly higher than 90% of accuracy and multimodal feature-based video classification performance is improved up to 96.5% of accuracy under our dataset configured with 500 general videos and 500 X-rated videos. The measured performance shows that multimodal approach can be deployed to improve the classification performance. The proposed system also provides the graphical interfaces for classification and management in order to verify and handle the detailed classification results of each video.
- KSP Keywords
- Classification Performance, Color histogram feature, Feature level, Feature-based, Graphical Interfaces, Image descriptors, Image-based, Level classification, MPEG-7, Management system, Multi-level