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Conference Paper
Classifying Objectionable Images based on MPEG-7 Visual Descriptors and Saliency Detection
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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.628-629
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Much research has been done to block objectionable images by analyzing the visual contents. The region-of-interest based approach are more accurate in describing the image content than the approach using the whole image in the field of content-based image retrieval. Therefore, this paper proposes a method for classifying objectionable images based on global features and salient region. By using the features concatenated the visual descriptors extracted from whole image and salient region, the proposed method can accurately describe the characteristic of objectionable image. The experimental results show that the proposed method increases the performance of objectionable image classification.
- KSP Keywords
- Based Approach, Content based image retrieval, Global feature, MPEG-7 Visual Descriptors, Objectionable Image Classification, Region of interest(ROI), Saliency detection, salient region