Spatiotemporal saliency detection and salient region determination for H.264 videos
| Autor: | Han-Hui Hsiao, Kang-Ting Hu, Jin-Jang Leou |
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| Rok vydání: | 2013 |
| Předmět: |
Video bitstream
Computer science business.industry Gaussian Global motion compensation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Normalization (image processing) Pattern recognition Motion vector symbols.namesake Fourier transform Salient Computer Science::Multimedia Signal Processing Lab color space Media Technology symbols Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | Journal of Visual Communication and Image Representation. 24:760-772 |
| ISSN: | 1047-3203 |
| DOI: | 10.1016/j.jvcir.2013.05.001 |
| Popis: | In this study, a spatiotemporal saliency detection and salient region determination approach for H.264 videos is proposed. After Gaussian filtering in Lab color space, the phase spectrum of Fourier transform is used to generate the spatial saliency map of each video frame. On the other hand, the motion vector fields from each H.264 compressed video bitstream are backward accumulated. After normalization and global motion compensation, the phase spectrum of Fourier transform for the moving parts is used to generate the temporal saliency map of each video frame. Then, the spatial and temporal saliency maps of each video frame are combined to obtain its spatiotemporal saliency map using adaptive fusion. Finally, a modified salient region determination scheme is used to determine salient regions (SRs) of each video frame. Based on the experimental results obtained in this study, the performance of the proposed approach is better than those of two comparison approaches. |
| Databáze: | OpenAIRE |
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