Deep learning for diplomatic video analysis

Author:

Zhao Hongyan,Zhou Fangxin,Liu HuapingORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference21 articles.

1. Banitalebi-Dehkordi A, Pourazad MT, Nasiopoulos P (2018) A learning-based visual saliency prediction model for stereoscopic 3D video (LBVS-3D)[J]. Multimed Tools Appl 76(22):1–32

2. Chang X, Yu YL, Yang Y et al (2017) Semantic pooling for complex event analysis in untrimmed videos[J]. IEEE Trans Pattern Anal Mach Intell 39(8):1617–1632

3. Chen X, Gupta A (2017) An implementation of faster RCNN with study for region sampling[J]

4. Entman RM (2008) Theorizing mediated public diplomacy: the U.S. case[J]. International Journal of Press/Politics 13(2):87–102

5. Fang Y, Zhang C, Yang W et al (2018) Blind visual quality assessment for image super-resolution by convolutional neural network[J]. Multimed Tools Appl 10:1–18

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