Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video
Panda Pan, Yang Zhao, Yuan Chen, Wei Jia, Zhao Zhang, Ronggang Wang
Abstract
With the popular of stereo video and free-viewpoint video, binocular and multi-view video enhancement has attracted increasing attention. Current binocular video enhancement methods mainly focus on stereo super-resolution. In this paper, we tend to discuss a new binocular video resolution and frame-rate enhancement scenario to fully utilize the cross-view complementary information. Specifically, one view is captured with high resolution (HR) and low frame-rate (LFR), while the other viewpoint records low resolution (LR) and high frame-rate (HFR) video. Then, a binocular video joint enhancement network, which adopts dual-branch structure with cross-view guidance, is proposed to jointly reconstruct HR and HFR stereo videos. The proposed framework can reduce the capture, storage, compression, and transmission cost of normal HR and HFR stereo videos. Compared with single-view super-resolution and video frame interpolation techniques, the proposed method can recover more realistic HR details and intermediate motion by using cross-view reference. Experimental results on stereo video datasets demonstrate the effectiveness of the proposed joint resolution and frame-rate enhancement framework.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- How Video Super-Resolution and Frame Interpolation Mutually BenefitChengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan et al.ACM MM 2021 · 12 citations
- Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationQinyan Dai, Juncheng Li, Qiaosi Yi, Faming Fang et al.ACM MM 2021 · 68 citations
- Stereo Video Super-Resolution via Exploiting View-Temporal CorrelationsRuikang Xu, Zeyu Xiao, Mingde Yao, Yueyi Zhang et al.ACM MM 2021 · 20 citations
- Space-Time-Aware Multi-Resolution Video EnhancementMuhammad Haris, Greg Shakhnarovich, Norimichi UkitaCVPR 2020
- Blurry Video Frame InterpolationWang Shen, Wenbo Bao, Guangtao Zhai, Li Chen et al.CVPR 2020
