Object motion detection using information theoretic spatio-temporal saliency
Pattern Recognition
Content-aware video resizing based on salient visual cubes
Journal of Visual Communication and Image Representation
Modelling salient visual dynamics in videos
Multimedia Tools and Applications
Multimedia Tools and Applications
The co-attention model for tiny activity analysis
Neurocomputing
Spatiotemporal saliency detection and salient region determination for H.264 videos
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
Within the framework of spatiotemporal attention detection, this paper proposes an efficient method for focus of attention (FOA) detection which involves combining adaptively the spatial and motion attention to form an overall attention map. Without computing motion explicitly, it detects motion attention using the rank deficiency of grayscale gradient tensors. We also propose an attention-driven shot matching method using primarily FOA. Experimental results demonstrate the effectiveness of the proposed FOA detection method and the proposed shot matching approach outperforms other published methods.