In this study, a visual attention region determination approach for H.264 videos using spatiotemporal features is proposed. After Gaussian filtering in Lab color space, the phase spectrum of Fourier transform (PFT) is used to generate the spatial saliency map of each video frame. On the other hand, the motion vector fields from an H.264 video bitstream are backward accumulated and the phase spectrum of Fourier transform (PFT) is used to obtain 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 visual attention region determination scheme is used to determine visual attention regions (VARs) of each video frame. Based on the experimental results obtained in this study, the performance of the proposed approach is better than that of two comparison approaches.