Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference87 articles.
1. Alers, H., Redi J. A., & Heynderickx, I. (2012). Examining the effect of task on viewing behavior in videos using saliency maps. In IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics (pp. 82910X–82910X).
2. Bak, C., Kocak, A., Erdem, E., & Erdem, A. (2017). Spatio-temporal saliency networks for dynamic saliency prediction. IEEE Transactions on Multimedia, 20, 1688–1698.
3. Bazzani, L., Larochelle, H., & Torresani, L. (2017). Recurrent mixture density network for spatiotemporal visual attention.
4. Borji, A., & Itti, L. (2013). State-of-the-art in visual attention modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1), 185–207.
5. Boulos, F., Chen, W., Parrein, B., & Le Callet, P. (2009). Region-of-interest intra prediction for h. 264/AVC error resilience. In ICIP, IEEE (pp. 3109–3112).
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献