iPhone 240fps Video Dataset for Various Model Training Tasks

Joi Shimizu, Shion Komatsu, Satsuki Kobayashi,Heming Sun,Jiro Katto

2023 IEEE International Conference on Consumer Electronics (ICCE)(2023)

Cited 0|Views17
No score
Abstract
High frame rate videos are recently used for training a variety of image processing tasks such as image/video deblurring and frame interpolation. Yet, the number of publicly available datasets with high frame rate videos are still limited. In this paper, we propose the iPhone 240fps dataset, a dataset which consists of real world 240fps videos. We conduct experiments with deblurring and frame interpolation models to show the effectiveness of this dataset. We also use this dataset to conduct experiments with a state-of-the-art video super-resolution model. We take advantage of the flexibility to change the frame rate of the dataset and test which fps is best suited for training the model. We believe this dataset can make contributions to future works in image and video processing. The dataset is publicly available on our cloud storage https://waseda.box.com/s/4ihxczdiythmeml38ndgsq4l1q90vnpp:
More
Translated text
Key words
high frame rate,deblurring,frame interpolation,video super-resolution,deep learning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined